19394 Statistics Jobs - Page 18

Hinjewadi, Pune, Maharashtra, India Department Delivery Unit 2 Job posted on Aug 20, 2025 Employee Type Permanent Experience range (Years) 8 years - 12 years Job Title: QA Specialist Experience Level: 8-12 Years Location : Pune (Hinjewadi) Areas of Responsibility Design and implement tests, debug and define corrective actions. Improve software development process by detecting and preventing errors in production. Estimate, prioritize, plan and coordinate quality testing activities. Review quality specifications and technical design documents to provide timely and meaningful feedback. Skills and Qualifications 4+ years testing/test automation experience along with basic testing of distributed applications 2+ years experience in automating test cases end-to-end for distributed applications Good understanding of distributed applications and the various points of failures in a distributed application Thorough knowledge of scalability limits of a given application considering the load and system characteristics. Good understanding of Python scripts along with any data handling frameworks such as Pandas Ability to troubleshoot web applications with Linux BE app servers or Linux Containers, including distributed applications like elastic search or spark clusters Good understanding of NLP LLMs such as Llama or Mistral LLMs is a plus [Trainable] Experience in testing a RAG chat application is a plus Experience with verification of a fine tuned LLM for accuracy and robustness of response is desirable Experience in writing functional, end-end, regression and integration tests Strong testing and automation skills: Core Java and Python programming (for test automation) Python frameworks - Pandas, Statistics, numPy Test automation experience using Java based testing automation framework such as Selenium Testing of distributed applications Experience in Test planning/Test Cases/Test Metrics Understanding of security testing Good understanding of performance testing Backend Testing automation Frontend Testing automation Ability to learn new technologies with minimal guidance Good to Have: Python, Python frameworks - numPy, Pandas, Statistics LLMs/AI - Llama, OpenAI, Mistral, LLM frameworks such as pyTorch, LangChain, LlamaIndex, spaCy, embedded vectors [Trainable] RAG Chat application testing experience PostgreSQL Big Data testing experience Testing experience on Spark/ElasticSearch based applications Experience in container based distributed applications Experience in testing applications in a cloud environment (AWS preferably). Oauth 2.0 Understanding of nuances of testing web based applications across different browser/platform and display form factors Experience in performance testing of web applications

Date Posted: 2025-08-20 Country: India Location: North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064 Position Role Type: Unspecified Job Description Who we are At Pratt & Whitney, we believe that powered flight has transformed and will continue to transform the world. That’s why we work with an explorer’s heart and perfectionist’s grit to design, build, and service the world’s most advanced aircraft engines. We do this across different portfolios, including Commercial Engines, Military Engines, Business Aviation, General Aviation, Regional Aviation, and Helicopter Aviation and as a way of turning possibilities into realities for our customers. This is how we at Pratt & Whitney approach our work, and this is why we are inspired to go beyond. What You Will Do: 2 to 4 years of experience in Vendor Management and SAP Ariba platform . At least 2 years of experience in MDG and SLP . Responsible for ensuring data input in a timely fashion. Ensure standardization of data for any of the master data types to allow consistency and accuracy of data in SAP Database. Help Master Data Process Leads to establish processes/procedures to verify data quality and to perform audits of the data input into the SAP system. Propose data requirements and configuration changes needed for new business data requirements. Support data migration activities including but not limited to data cleansing, data creation, data conversion, issue resolution, and data validation Manage stakeholder expectations and take corrective actions to address gaps Assists in developing processes and procedures with Master Data Leads to ensure an understanding of data input Execute and analyze different TPM (Total Productive Maintenance) reports to ensure database is accurate and request stakeholders’ input. Identify and propose continuous improvement opportunities within the data management processes in the applicable systems Qualification You Must Have: Bachelor's Degree (required) in any of the preferred fields 2 to 4 years' experience in managing and analyzing data, data acquisition and data reporting required Extensive computer skills Proven functional and technical skill set that has been demonstrated in SAP ECC, SAP MDG, and Analytics environment is required Very good English verbal and written skills Qualifications We Prefer: Bachelor's Degree (required). Preferred fields include Analytics/Business Intelligence, Statistics, Computer Science, related technology discipline(s) Advanced degree preferred Strong analytical, Project management/leadership and Business Process Improvement skills are helpful. Leadership experience in a cross-functional environment, resolve conflicts, prioritize and manage ambiguity. Solid computer skills, including MS Office suite. Experience in the Aerospace industry or Supply Chain is a plus. Highly self-directed and able to learn quickly with a solid ability to drive and deliver results. Expert ability to clearly, concisely and effectively communicate complex technical information with written and verbal communication skills. Willingness to take initiative, support strategic priorities, take ownership of assigned projects/initiatives and contribute to results and ability to work with a minimum supervision. Exceptional interpersonal skills and solid track record of teamwork, adaptability, innovation and initiative. What We Offer: Long-term deferred compensation programs Daycare for young children Advancement programs to enhance education skills Flexible work schedules Leadership and training programs Comprehensive benefits, savings, and pension plans Financial support for parental leave Reward programs for outstanding work Work Timing: EST shift (4:30 PM to 1:30 AM) RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms

About NomiSo India: Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. Our mission is to Empower and Enhance the lives of our customers through simple solutions for their complex business problems. At NomiSo, we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. Were in pursuit of colleagues who share similar passions, are nimble, and thrive when challenged. We offer a positive, stimulating, and fun environment with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged. We invite you to push your boundaries and join us in fulfilling your career aspirations! What You Can Expect From Us We work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do at all levels of the company. Lets make your career great! Position Overview The purpose of this role is to increase revenue, maximize process efficiency & cost-effectiveness, and ensure excellent customer experience, through effective supervision of daily operations and personnel, contract compliance, resource optimization and capability development within an account. Key Responsibilities Maximize process efficiency and cost effectiveness through strategic planning, contract compliance and governance mechanisms Strategy Planning with Senior Stakeholders Collaborate with leaders to provide strategic and operational plans associated with the account Plan the strategy for the coming months and quarters based on the forecast pipeline Ensure a deep enough understanding of clients individual experiences to head off potential issues before they become problems Contract compliance & adherence Ensure all SLA parameters are met in the account and identify areas for improvement Monitor and review the account on various delivery parameters to ensure quality delivery as per budget and timelines and their impact to revenue realization and cost Delivery governance in the account Monitor and review dashboards/ MIS across accounts to track progress and identify potential red flags Participate and share account performance across operational, quality and fulfillment parameters with internal and external stakeholders Lead and manage project escalations, potential risks or early warning signs on project delivery to eliminate any revenue leakage Monitor Leakage across the lifecycle and implement improvements to reduce Ensure accurate, timely submission of invoices and compliance in line with client agreements and internal policies. Provide information required and resolve any invoicing issues raised by the client Monitor and track collections Budgeting, Expense Tracking and Process Optimization Assume responsibility of budgeting and tracking expenses Review and refine operational workflows to reduce inefficiencies and enhance Conduct variance analysis to explain deviations between forecasted and actual revenue. Collect and analyze statistics (costs, customer service metrics etc.) Develop dashboards, reports, and KPIs to measure revenue performance and trends. Ensure outstanding performance against key metrics mentioned in the agreement Regular cadence around contract compliance Evaluate performance with key metrics (accuracy, customer service metrics etc.) Set direction for the team, track progress against targets through regular cadence calls and course correct as require Drive the focus of the team on quality and adherence to contract compliance processes Drive and implement structured cadence around quality, both process and transactional Cadence with delivery lead to ensure margins are met and the account numbers are at par to what is committed Weekly calls with WFM to ensure resource optimization, compliance to the manpower numbers agreed in the contract, future planning in case of ramp ups etc. Resource Allocation & Retention Conduct effective resource planning to maximize the productivity of resources (people, technology etc.) Review and monitor resource planning and fulfillment in line with account requirements and costs of delivery Optimize manpower and minimize leakages by working closely with delivery head Ensure retention by offering relevant trainings and certifications of all allocated resources Lead one-on-one floor connect and other engagement activities to improve stickiness of the delivery team Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Must Have Skills Experience: 6 - 10 years in Revenue Operations, Sales Operations, or Financial Operations, preferably in the IT/Technology sector. Technical Skills: Proficiency in any CRM and analytics tools (Excel Sheet, etc.) including designing reports Strong knowledge of revenue / cost recognition policies and compliance requirements. Exceptional analytical and problem-solving skills, with attention to detail. Proven ability to communicate effectively with cross-functional teams and senior Education: Bachelors degree in Finance, Accounting, Business Administration, or a related field (MBA preferred). Location : This role in Hyderabad will be a good plus to filling some space there. (ref:iimjobs.com)

Job Summary We are seeking a highly skilled and detail-oriented Senior SQL Data Analyst to join our data-driven team. This role will be responsible for leveraging advanced SQL skills to extract, analyze, and interpret complex datasets, delivering actionable insights to support business decisions. You will work closely with cross-functional teams to identify trends, solve problems, and drive data-informed strategies across the organization. Key Responsibilities Develop, write, and optimize advanced SQL queries to retrieve and analyze data from multiple sources. Design and maintain complex data models, dashboards, and reports. Collaborate with stakeholders to understand business needs and translate them into analytical requirements. Conduct deep-dive analysis to identify key business trends and opportunities for growth or improvement. Ensure data integrity and accuracy across systems and reporting tools. Automate recurring reports and develop scalable data pipelines. Present findings in a clear, compelling way to both technical and non-technical audiences. Qualifications Required: Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field. 5+ years of experience in data analysis or a similar role with a strong focus on SQL. Expert proficiency in SQL (window functions, joins, CTEs, indexing, etc.). Strong understanding of data warehousing concepts and relational database systems (e.g., PostgreSQL, SQL Server, Snowflake, Redshift). Experience with BI tools like Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Preferred Experience with scripting languages (Python, R) for data manipulation. Familiarity with cloud data platforms (AWS, Azure). Knowledge of ETL tools and best practices. Previous experience in a fast-paced, agile environment.

Key Responsibilities Collect, analyze, and interpret product and user data to identify trends, opportunities, and pain points. Partner with Product Managers to define and track KPIs for product performance and success metrics. Conduct competitor and market analysis to provide insights that inform product roadmap decisions. Collaborate with engineering and design teams to ensure data tracking and reporting are accurate. Build dashboards, reports, and ad-hoc analyses to share actionable insights with stakeholders. Support A/B tests, feature launches, and experiments by providing pre/post analysis. Translate complex data into clear, concise presentations and recommendations. Continuously monitor product adoption, retention, and engagement to uncover opportunities for optimization. Requirements Bachelor’s degree in Business, Economics, Statistics, Engineering, Computer Science, or related field. 2–4 years of experience in product analytics, business analytics, or a related role. Strong proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker). Experience with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude). Understanding of A/B testing, statistical concepts, and product metrics (DAU, MAU, retention, churn, etc.). Excellent problem-solving skills and ability to translate data into business insights. Strong communication and storytelling skills to present data clearly to technical and non-technical stakeholders. Nice to Have Experience in SaaS, e-commerce, or consumer tech products. Familiarity with Python/R for advanced data analysis. Knowledge of Agile/Scrum methodologies. Exposure to user research and qualitative data.

Job Title : Database Administrator Location : Gurugram Job Type : Full-time Job Summary Database Administrator (DBA) with 5-7 years of experience with strong expertise in MS SQL, MySQL and PostgreSQL, with a proven track record in database administration and management. Key Responsibilities Database Administration : Manage, maintain, and optimize MS SQL, MY SQL and PostgreSQL databases to ensure high availability and performance. Performance Monitoring : Continuously monitor database performance and implement tuning measures to enhance efficiency and reliability. Backup and Recovery : Develop and execute comprehensive backup and recovery strategies to safeguard data integrity. Security Implementation : Enforce database security protocols, including user access management and data encryption. Troubleshooting : Identify and resolve database-related issues, including performance bottlenecks and connectivity problems. Required Skills Install, configure and maintain database of MS SQL, MySQL, PostgreSQL etc. and maintain required documentation. Thorough knowledge of SQL Server configuration, High availability configuration, and setting up the environment Plan, schedule and manage the implementation of new databases and modifications to existing databases in a manner that avoids disruption to production and development systems. Ensure that the database design supports the application requirements, including performance and scalability and is properly configured for optimal performance. Ensure the implementation of solutions for database replication, clustering, and high availability to ensure minimal downtime. Plan and design failover and load balancing for high-availability environments. Expertise in upgrading and migrating databases to Cloud environment Hands on experience in Performance Tuning and Query Optimization and should have good understanding on Indexing, Partitions, and different storage engines available under MySQL Implement backup strategies and ensure backups are performed regularly. Develop and test disaster recovery plans to restore data in case of failure or data corruption. Ensure databases are protected from data loss and downtime. Ensure monitoring database performance and proactively identifying performance issues, Optimize queries, indexes, and database structure to improve performance. Ensure Database Maintenance and regularly perform maintenance tasks such as reindexing, updating statistics, and purging old data. Ensure data integrity through routine checks and troubleshooting data (ref:hirist.tech)

Position Summary Embark on a fulfilling career journey with BGH, where innovation meets compassion in healthcare. Join our dynamic team at the forefront of medical excellence, with a focus on Chemistry, Hematology, Transfusion Medicine, Microbiology, and Anatomical Pathology. Elevate your skills in our cutting-edge Point of Care department, where professionals like MLAs, MLTs, Senior MLTs, Charge MLTs, and PAs collaborate seamlessly. Embrace the excitement of 24/7 core lab operations, spanning days, nights, evenings, weekends, and STATs. Be part of our dedicated Microbiology and Histology teams, where your commitment to community care truly shines. At BGH, we're not just a workplace – we're a family, united by cohesiveness, professionalism, and a shared passion for making a positive impact. Join us in shaping the future of healthcare, where every day brings new opportunities for growth and success! Responsible to the Charge Technologist(s) in the Division(s) in which they are working and to the Lab Manager for performing phlebotomy and ECG tracings (site specific), as well as, preparing and organizing specimens for analysis and various duties in different divisions of the lab. Duties do not require interpretation, assessment or the exercise of independent judgment. Required EDUCATIONAL REQUIREMENTS: Successful Completion of an approved Laboratory Assistants training program and Certification with other professional organizations (i.e., CSMLS, OSMT). OR Technologist current registered with the College of Medical Laboratory Technologist of Ontario. Supervisory, verbal and written communication skills. Ability to organize, prioritize and meet deadlines. Students and new graduates actively pursuing certification are welcome to apply. Duties Blood Specimen Procurement Performs phlebotomy on Inpatients and Outpatients and BG Emergency. Implements good quality venipuncture - adult and paediatric. Implements good quality capillary collection – adult and paediatric. Maintains accurate patient identification and specimen labelling at all times. Recognizes suitability of specimens and the need for requests. Advises Technologists on Diagnosis, STATS, A.S.A.P, etc. Operates Lab computer – ordering test, logging specimen in, receiving, etc. ECGs - TMH Requires special training. Performs electrocardiograms (ECG). Responsible for good quality ECG tracings – adult and paediatric. Enters ECG into computer. Copies and dispenses ECG as required. Completes ECG process with special attention to Pre-Op ECG. Departmental Maintains pleasant and professional rapport with patients and other customers at all times. This key position has direct interaction with all the laboratories main customers, thus has a direct effect on laboratory reputation. Maintains good infection control practices. Helps with documentation and phone enquiries, as required. Assists with compiling statistics when necessary. Participates in quality assurance activities. Orientates and trains new staff/students. Assists in developing, reviewing and amending department policies and procedures. Prepare Hospital Incident Forms. Lab Tests/Set-Up – May Be Site Specific Prepares referred out specimens for appropriate outside labs for special testing and documents as required. Prepares specimens for shipment to QHC Laboratories as required. Performs inventory. Performs temperature readings. Change charts. Packaging and unpacking blood. Stocking POCT refrigerator. Maintenance (centrifuge, tachometers, timers, etc.). Sorts, centrifuges and distributes laboratory specimens entering the Laboratory. Maintains good quality sterile techniques. May place specimens on Hematology, or Biochemistry, analysers with special training. Assists with send outs. Assists with sample separating (centrifuging). Assists with worksheets. Assists with units Haematology May place specimens on analysers after special training. Chemistry Assists with aliquoting and identifying Assist with the setup of tests (eg. drugs screens, pregnancy). May place specimens on analysers after special training. Performs urinalysis (excluding microscopic). Microbiology (Site specific) Receives all microbiology samples. Answer phone calls and transfer to MLT as required. Plating microbiology samples and cultures as required. Restocking microbiology supplies. Subculture QC organisms. Equipment maintenance. Discard microbiology samples once complete. Construct Public Health kits. Equipment/Supply Procurement/Maintenance Troubleshoots problem with ECG, Holter, and Events machines and calls for service when required. Obtains weekly order from stores and organizes and puts order away. Keeps supply of Kleenex, Javex and towels, etc. in each division. Maintains and cleans blood taking room and ECG room. Assists with general maintenance and clean up of equipment and instruments. Assists with housekeeping and glassware washing. Safety Maintains a safe environment by: Following established safety, WHMIS, infection control and waste disposal policies. Maintaining a clean and organized work area. Cleaning phlebotomy trays. Keeping equipment cleaning records (eg. ECG). Weekly cleaning and minor maintenance of ECG machines. Follow infection control policies eg. Isolation, universal precautions. Working with needles and blood requires special care - all staff are to use safety equipment supplied and specified gloves, goggles, safety devices, lab coats, etc. Minimizes risks to self, other staff, patients and visitors through: Familiarity with policies and procedures regarding safety. Attendance at safety training including fire safety, back care and W.H.M.I.S. training. Reporting of hazards and incidents. Related Duties Contributes to Department by performing related tasks as required. Maintains patient confidence and protects Health Centre operations by keeping information confidential. Maintains skills/knowledge by attending educational sessions and keeping informed of Health Centre policies and procedures. Models QHC Vision and Values At Quinte Health, guided by our core values of Imagine It's You, Value Everyone, We All Make a Difference, and Stronger Together, our family of four hospitals holds a central role in the mission to enhance lives and foster healthier communities. We operate as a cohesive team, uniting all our hospitals, to deliver local and regional healthcare services. In partnership with our communities, we strive to improve access to high-quality care, right in their own neighborhoods. Our sense of fulfillment is deeply rooted in the impactful work we do, a sentiment shared by our dynamic teams of staff, dedicated physicians, and committed volunteers. They not only care passionately for our patients but also for each other, embodying our core values at every turn. We don't just serve our communities, we actively contribute to them. Quinte Health is woven into the fabric of our local landscape, with our team members residing, raising their families, and often retiring right here in the communities they cherish. We are on a constant lookout for compassionate and dedicated individuals to join our team. Our diverse array of exciting roles encompasses positions that span multiple hospitals, as well as opportunities situated within a single hospital. Join us as we live out our values in providing exceptional healthcare close to home Physical Demands Analysis Physical Requirements Able to communicate and respond clearly on the telephone and face-to-face. Able to sit 2-6 hours per day at a computer table or bench. Able to stand and/or walk 3-5 hours a day. Able to lift no greater than 28 pounds on an occasional basis. Frequent bending or leaning depending on section of Laboratory where working. Able to work at a moderate pace maintaining accurate results. Must be able to see objects close up, reading requisitions, computer screens. Must be able to distinguish between colors, depending on section of Laboratory where working. Must have good manual dexterity. Mental Requirements Able to concentrate on details despite frequent interruptions. Attention to detail is essential. Able to follow both written and oral directions and remember in detail daily requirements and routine. Able to comprehend and utilize written materials. Able to cope with a high paced, sometimes high stress, work environment. Able to interact positively with a variety of individuals from various socio-economic backgrounds. Equal Opportunity We thank all interested candidates for their response, however, only those chosen for an interview will be contacted. Quinte Health is an equal opportunity employer committed to meeting needs under the Canadian Charter of Rights and Freedom and the Ontario Human Rights Code. Our Recruitment process follows the Accessibility for Ontarians with Disabilities Act in order to provide a fair and equitable process for all candidates. Applicants requiring accommodation through the recruitment/interview process are encouraged to contact the Human Resources Department at 613-969-7400 x2577 or

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Data Science Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Analyst, you will conduct specific advanced data analyzes, develop custom tools, annotate data and implement robust data quality controls using statistical methods. You will support one specific area of our portfolio. Roles & Responsibilities: - Develop custom data analytics tools and data visualizations to report on data quality and AI model performance KPIs. - Provide technical support to existing solutions, addressing bug fixes and simple issues - Independently design and utilize specialized tools to annotate data in various formats (e.g. timeseries) for predictive algorithm development, validation and monitoring - Support data scientists with data exploration and cleaning, data analytics, data visualizations and data annotations. - Stay current with the latest advancements in advanced data analytics technologies to provide informed support and recommendations. - 1-3 years experience in advanced data analysis on large data sets, including data annotation, cleaning and data visualization. Professional & Technical Skills: - Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles) - Data engineering tools (Python, pandas, jupyter notebook) - Visual analytics platforms (Tableau, Superset, Streamlit) - Database and other data storage technologies (SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB) - Cloud platform technology (AWS, MS Azure or Snowflake) - System infrastructure in Linux/Windows (Bash, PowerShell, Docker, CRON, Apache Airflow) - Demonstrated knowledge in a) Applied Mathematics (statistics, regression, simulation, scenario analysis) b) Advanced Data Analytics (applied statistics, model evaluation, data visualization) - Good problem-solving skills and attention to detail. - Ability to communicate well with stakeholders and customers from a wide range of backgrounds - Must be able to function independently as well as work in a collaborative team environment. - Willingness to learn new technologies Additional Information: - The candidate should have minimum 3 years of experience in Data Science. - This position is based at our Bengaluru office. - A 15 years full time education is required. - Bachelor degree in Computer Science, Mathematics, Data Science or related field with coursework in statistics or data science., 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Data Science Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Analyst, you will conduct specific advanced data analyzes, develop custom tools, annotate data and implement robust data quality controls using statistical methods. You will support one specific area of our portfolio. Roles & Responsibilities: - Develop custom data analytics tools and data visualizations to report on data quality and AI model performance KPIs. - Provide technical support to existing solutions, addressing bug fixes and simple issues - Independently design and utilize specialized tools to annotate data in various formats (e.g. timeseries) for predictive algorithm development, validation and monitoring - Support data scientists with data exploration and cleaning, data analytics, data visualizations and data annotations. - Stay current with the latest advancements in advanced data analytics technologies to provide informed support and recommendations. - 1-3 years experience in advanced data analysis on large data sets, including data annotation, cleaning and data visualization. Professional & Technical Skills: - Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles) - Data engineering tools (Python, pandas, jupyter notebook) - Visual analytics platforms (Tableau, Superset, Streamlit) - Database and other data storage technologies (SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB) - Cloud platform technology (AWS, MS Azure or Snowflake) - System infrastructure in Linux/Windows (Bash, PowerShell, Docker, CRON, Apache Airflow) - Demonstrated knowledge in a) Applied Mathematics (statistics, regression, simulation, scenario analysis) b) Advanced Data Analytics (applied statistics, model evaluation, data visualization) - Good problem-solving skills and attention to detail. - Ability to communicate well with stakeholders and customers from a wide range of backgrounds - Must be able to function independently as well as work in a collaborative team environment. - Willingness to learn new technologies Additional Information: - The candidate should have minimum 3 years of experience in Data Science. - This position is based at our Bengaluru office. - A 15 years full time education is required. - Bachelor degree in Computer Science, Mathematics, Data Science or related field with coursework in statistics or data science., 15 years full time education

We(www.bandgitechnologeis.com)'re Hiring! Data Analysts/ Engineers.Join Our Innovative Development Team at B&G Technologies Company Overview Bandgi Technologies is a SaaS product development company which provides niche technology skills and help organizations in innovation. Our specialization is on Industry 4.0/IIOT and we provide solutions to clients in US, Canada and Europe. We are Innovation Enablers and have offices in India (Hyderabad) and in the UK (Maidenhead). Job Summary We are looking for a detail-oriented and motivated Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, analyzing, and visualizing data to help drive decision-making across various departments. You will work closely with stakeholders to identify key business trends, provide actionable insights, and improve data-driven strategies. Key Responsibilities Data Collection & Cleaning : Collect data from various sources including databases, spreadsheets, and third-party platforms. Clean and preprocess data to ensure accuracy and consistency. Data Analysis Design, develop, and optimise DBT models to transform raw data into valuable analytics-ready datasets. Utilise your in-depth knowledge of DBT Core to upskill, train and mentor the team Implement scalable data modelling solutions to support Business Intelligence and analytical needs. Collaborate closely with data analysts, engineers, and business stakeholders to ensure seamless data workflows. Clickhouse as warehouse for data analtics platform. Apache Supersets as charts / dashboard to view the data from warehouse. Jinja templating using python with in Apache Supersets. Reporting & Visualization Create visualizations and reports using tools like Excel, Tableau, Power BI, or other BI tools. Present data insights in a clear and concise manner to stakeholders at all levels. Collaborate With Teams Work closely with business units to understand key performance indicators (KPIs) and metrics. Collaborate with other departments to ensure data is used effectively in decision-making processes. Predictive Modeling & Trend Forecasting Apply predictive modeling techniques and statistical methods to forecast future trends. Provide actionable recommendations based on predictive analysis. Quality Assurance Ensure the integrity and quality of data used in analysis. Validate and audit data to identify and resolve discrepancies. Ad-hoc Analysis Perform ad-hoc analysis as required by business leaders. Continuously monitor and improve data-related processes. Required Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or similar role, with at least 3-6 years of experience in data analysis. Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, or Google Data Studio). Experience with data cleaning, transformation, and manipulation. Strong analytical skills and attention to detail. Ability to communicate complex data insights to non-technical stakeholders. Familiarity with statistical tools and data analysis methodologies (e.g., regression analysis, hypothesis testing, etc.). Preferred Qualifications Experience with programming languages such as Python,Apachesuperset. Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Experience with machine learning algorithms and data modeling techniques. Strong understanding of business intelligence (BI) and data warehouse concepts. (ref:hirist.tech)

About The Role We are looking for a highly analytical and detail-oriented Risk Analyst to join our team. The candidate will be responsible for identifying, analyzing, and mitigating potential risks in our lending operations, as well as designing effective risk policies and frameworks. Strong expertise in SQL is a must for handling large data sets and deriving actionable insights. Key Responsibilities Analyze credit, operational, and portfolio risks across different products and business lines. Develop, review, and implement risk policies, processes, and controls in line with regulatory and business requirements. Monitor and evaluate borrower performance, repayment trends, and default risks using data-driven methods. Work closely with collections, product, and operations teams to align risk strategies with business goals. Prepare risk assessment reports and dashboards for management and compliance teams. Identify early warning signals, create scorecards/models, and provide recommendations to minimize exposure. Ensure compliance with RBI and NBFC regulatory requirements related to risk management. Requirements Bachelor's/Master's degree in Finance, Economics, Statistics, Data Science, or a related field. Advanced SQL skills (mandatory) - ability to write complex queries, optimize performance, and handle large datasets. Strong analytical, problem-solving, and quantitative skills. Knowledge of risk modeling, credit scoring, and portfolio monitoring is a plus. Excellent communication skills with the ability to present complex data insights in a simple manner. Why Join Us Be part of a fast-growing NBFC shaping the future of lending. Work on high-impact projects with cross-functional teams. Opportunity to design and implement risk frameworks from the ground up. (ref:hirist.tech)

Job Description Global Sales Strategy & Operations (GSSO) is the team that helps shape Gartners mission-critical sales priorities and works with sales leaders to drive tactical and analytical insights. As an associate on the GSSO team, youll be at the forefront of the ongoing transformation of Gartners sales force, which delivers approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support a global sales force comprised of more than 5,000 associates who sell to every major function, industry and market sector around the world. About The Role The Senior Data Analyst role is part of the Sales Strategy & Analytics team in GSSO. The team is focused on helping leaders across GSSO and Sales make strategic decisions to improve performance, processes, and their overall functions, based on careful analysis and data. The person joining will have access to large and complex data sets which will enable them to develop and support products that solve complex data problems and automate existing processes using different tools. They will collaborate with various teams to create scalable solutions that cater to the large volumes of data used across Gartner. What You Will Do Consult with key Gartner business leaders and cross-functional stakeholders across Sales and many different GSSO functions Create reporting dashboards that will be leveraged by various business and operations teams for deriving key insights and analyzing metrics. Deliver comprehensive analytics (reports, analytics, and presentations) to diagnose issues, identify risks, and lead conversations to inform and shape decision-making Solve problems with structured/unstructured quantitative data and derive key insights that are top priorities for improving Sales performance What you will need : 4+ years of experience, ideally with focus on Business Analytics and/or Sales Operations Exceptional analytical skills, including proficiency with Microsoft Excel, databases, and relational databases. Familiarity with statistics and statistical tools. Experience in all aspects of data analytics including mining, scrubbing, and transforming. Strong Microsoft Excel skills including working experience of creating VBA/Macros to be used for the purpose of Data analysis & reporting. Strong Experience creating visualization dashboards to represent key business metrics. Strong proficiency in SQL, Power BI and Excel Experience in Python and Databricks for advanced data engineering and analytics will be a plus. Demonstrated ability to translate quantitative analysis into actionable recommendations. Ability to work with business stakeholders to understand key requirements and break them down into data problems. Experience in presenting insights to senior leaders and communicating using PowerPoint. Strong written and verbal communication and collaboration skills. Quantitative and qualitative problem-solving experience, including turning quantitative analysis into actionable recommendations and business strategies Demonstrated ability to form relationships and have strong communication skills What you will get : Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when its productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:101972 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Job Details Role Level: Not Applicable Work Type: Full-Time Country: India City: Gurgaon ,Haryana Company Website: https://gtnr.it/3vpPW81 Job Function: Information Technology (IT) Company Industry/ Sector: IT Services And IT Consulting Information Services And Research Services What We Offer About The Company Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand. Report Similar Jobs Principal-Econ Dev Compliance Public Policy - AWS And AWS ED Amazon Web Services (AWS) E-Merchandiser HP Lead Mechanical - Static Engineer KBR, Inc. Corrosion Material Specialist KBR, Inc. Quality - Welding Specialist KBR, Inc. Marketing Manager Property Development Qureos Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

Join us as a "CMBS Origination & Underwriting- Analyst" at Barclays, where team underwrites loans secured by commercial mortgages that are securitized in Commercial Mortgage Backed Securitized transactions. For each loan request, they are responsible for assessing the property economics in determining the appropriate loan amount, interest rate to be charged, risk inherent into the transaction and ensuring that all loans meet Barclays’ criteria. Additionally, the team performs quarterly analysis of Balance Sheet loans and is involved in the underwriting & due diligence of the Acquisition facilities. You may be assessed on the key critical skills relevant for success in role, such as experience with CMBS Origination & Underwriting- Analyst, as well as job-specific skillsets. To be successful as a CMBS Origination & Underwriting- Analyst, you should have experience to: Basic/ Essential Qualifications #1- Review Offering Memos prepared by brokers and/or Borrowers to gain an understanding of the real estate and the requested financing. #2- Evaluate and compile property level income statements, rent roll, reimbursements, occupancy statics, sales and occupancy cost information and other information into excel-based models. #3- Compile market research to determine and verify a project’s economics and assumptions in the model. Market research will include third party sources (such as Costar, Reis, Smith Travel Research and others) as well as public information available on the internet. #4- Review tenant leases and related documentation and prepare an abstract of key terms. #5- Evaluate historical and projected capital expenditure budgets. #6- Prepare asset summary reports which cover short descriptions of property and market characteristics, and strengths and weaknesses of the transaction for CMBS and Warehouse Loans. #7- Underwriting & Due Diligence of the Acquisition facilities. #8- Quarterly performance analysis of Balance Sheet loans which include analysing the financial statements, rent rolls, occupancy statistics, covenants tracking, and transaction updates for the loans. #9- Manage CMBS data and aid in aggregating, sourcing, and populating centralized databases. Desirable Skillsets/ Good To Have #1- Prior experience in Real Estate finance or securitized products like CMBS, RMBS, etc. #2- Excellent knowledge of Real Estate metrics and financial statements. #3- Experience working in CMBS issuances and managing data. #4- Excellent in Analytical skills and will be responsible for analyzing the results of the tests that they have developed. #5- Experience in preparing Narratives or Asset Summary reports of the transaction. #6- Proficiency in MS Excel, Word and PowerPoint. #7- Experience in Due Diligence process and working on Argus Software. #8- Familiar with Bloomberg or Trepp. #9- Familiar with various market reports like Costar & Reis. This role will be based out of Nirlon Knowledge Park, Mumbai. Purpose of the role To maintain the smooth and efficient operation of our trading desks, providing operational support and expertise to traders, sales professionals, and other key stakeholders, helping them maximize their productivity and minimize disruptions and handling administrative tasks, and providing market information and research. Accountabilities Provision of immediate and efficient technical support to traders and sales professionals on the trading desks, resolving hardware, software, and network-related issues to ensure uninterrupted trading activities. Coordination of trade execution by liaising with traders, clients, and other internal teams to ensure smooth transactions. Maintenance and updating of trade records, transaction logs, and client databases accurately. Reports, presentations, and documentation preparation to support sales and trading activities. Monitoring of market data and assist in the analysis of financial information for trading decisions. Operational tasks such as processing trades, confirming orders, and resolving trade discrepancies. Analyst Expectations To meet the needs of stakeholders/ customers through specialist advice and support Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles. Likely to have responsibility for specific processes within a team They may lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. They supervise a team, allocate work requirements and coordinate team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they manage own workload, take responsibility for the implementation of systems and processes within own work area and participate on projects broader than direct team. Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. Check work of colleagues within team to meet internal and stakeholder requirements. Provide specialist advice and support pertaining to own work area. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams. Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise. Make judgements based on practise and previous experience. Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures. Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements. Build relationships with stakeholders/ customers to identify and address their needs. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a "CMBS Origination & Underwriting Analyst" at Barclays, where team underwrites loans secured by commercial mortgages that are securitized in Commercial Mortgage Backed Securitized (CMBS) transactions. For each loan request, they are responsible for assessing the property economics in determining the appropriate loan amount, interest rate to be charged, risk inherent into the transaction and ensuring that all loans meet Barclays’ criteria. Additionally, the team performs quarterly analysis of Balance Sheet loans and is involved in the underwriting & due diligence of the Acquisition facilities. You may be assessed on the key critical skills relevant for success in role, such as experience with CMBS Origination & Underwriting Analyst, as well as job-specific skillsets. To be successful as a CMBS Origination & Underwriting Analyst, you should have experience to: Basic/ Essential Qualifications #1- Review Offering Memos prepared by brokers and/or Borrowers to gain an understanding of the real estate and the requested financing. #2- Evaluate and compile property level income statements, rent roll, reimbursements, occupancy statics, sales and occupancy cost information and other information into excel-based models. #3- Compile market research to determine and verify a project’s economics and assumptions in the model. Market research will include third party sources (such as CoStar, Reis, Smith Travel Research and others) as well as public information available on the internet. #4- Review tenant leases and related documentation and prepare an abstract of key terms. #5- Evaluate historical and projected capital expenditure budgets. #6- Prepare asset summary reports which cover short descriptions of property and market characteristics, and strengths and weaknesses of the transaction. Desirable Skillsets/ Good To Have #1- Underwriting & Due Diligence of the Acquisition facilities. #2- Quarterly performance analysis of Balance Sheet loans which include analysing the financial statements, rent rolls, occupancy statistics, covenants tracking, and transaction updates for the loans. #3- Manage CMBS data and aid in aggregating, sourcing, and populating centralized databases. #4- The candidate would directly interact with the CMBS Origination teams. They would have to interact with the team members on a regular basis to make sure that the various models, reports and projects that they are developing are as per requirements. #5- The candidate will have to be proactive in identifying issues and getting them resolved by coordinating with various stakeholders. The candidate needs to work on several time sensitive activities and hence is required to be meticulous and efficient. The candidate should have great eye for detail and should ensure that he/she meets the zero-error tolerance requirement as most output forms a critical input for business decision making. #6- Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards. Candidate Is Expected To Have Excellent knowledge of Real Estate metrics and financial statements. prior experience in Real Estate finance or securitized products like CMBS, RMBS, etc. Excellent knowledge of Real Estate metrics and financial statements. Experience working in CMBS issuances and managing data. Excellent in Analytical skills and will be responsible for analyzing the results of the tests that they have developed. Experience in preparing Narratives or Asset Summary reports of the transaction. Proficiency in MS Excel, Word and PowerPoint. Experience in Due Diligence process. Experience of working on Argus Software. Familiar with Bloomberg or Trepp. Familiar with various market reports like CoStar & REIS. This role will be based out of Nirlon Knowledge Park, Mumbai. Purpose of the role To maintain the smooth and efficient operation of our trading desks, providing operational support and expertise to traders, sales professionals, and other key stakeholders, helping them maximize their productivity and minimize disruptions and handling administrative tasks, and providing market information and research. Accountabilities Provision of immediate and efficient technical support to traders and sales professionals on the trading desks, resolving hardware, software, and network-related issues to ensure uninterrupted trading activities. Coordination of trade execution by liaising with traders, clients, and other internal teams to ensure smooth transactions. Maintenance and updating of trade records, transaction logs, and client databases accurately. Reports, presentations, and documentation preparation to support sales and trading activities. Monitoring of market data and assist in the analysis of financial information for trading decisions. Operational tasks such as processing trades, confirming orders, and resolving trade discrepancies. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Global Sales Strategy & Operations (GSSO) is the team that helps shape Gartner's mission-critical sales priorities and works with sales leaders to drive tactical and analytical insights. As an associate on the GSSO team, you'll be at the forefront of the ongoing transformation of Gartner's sales force, which delivers approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support a global sales force comprised of more than 5,000 associates who sell to every major function, industry and market sector around the world. About the role: The Senior Data Analyst role is part of the Sales Strategy & Analytics team in GSSO. The team is focused on helping leaders across GSSO and Sales make strategic decisions to improve performance, processes, and their overall functions, based on careful analysis and data. The person joining will have access to large and complex data sets which will enable them to develop and support products that solve complex data problems and automate existing processes using different tools. They will collaborate with various teams to create scalable solutions that cater to the large volumes of data used across Gartner. What you will do: Consult with key Gartner business leaders and cross-functional stakeholders across Sales and many different GSSO functions Create reporting dashboards that will be leveraged by various business and operations teams for deriving key insights and analyzing metrics. Deliver comprehensive analytics (reports, analytics, and presentations) to diagnose issues, identify risks, and lead conversations to inform and shape decision-making Solve problems with structured/unstructured quantitative data and derive key insights that are top priorities for improving Sales performance What you will need : 4+ years of experience, ideally with focus on Business Analytics and/or Sales Operations Exceptional analytical skills, including proficiency with Microsoft Excel, databases, and relational databases. Familiarity with statistics and statistical tools. Experience in all aspects of data analytics including mining, scrubbing, and transforming. Strong Microsoft Excel skills including working experience of creating VBA/Macros to be used for the purpose of Data analysis & reporting. Strong Experience creating visualization dashboards to represent key business metrics. Strong proficiency in SQL, Power BI and Excel Experience in Python and Databricks for advanced data engineering and analytics will be a plus. Demonstrated ability to translate quantitative analysis into actionable recommendations. Ability to work with business stakeholders to understand key requirements and break them down into data problems. Experience in presenting insights to senior leaders and communicating using PowerPoint. Strong written and verbal communication and collaboration skills. Quantitative and qualitative problem-solving experience, including turning quantitative analysis into actionable recommendations and business strategies Demonstrated ability to form relationships and have strong communication skills What you will get : Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:101972 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

BigSpring AI builds field force proficiency for revenue growth. Think of revenue as the “game scoreboard”, and BigSpring AI as the practice engine for people to get ready for the game. Google, Pfizer, SAP, Cisco, HSBC, Tata, Nutanix use BigSpring AI across their ecosystem of sales teams and partners. Customers have seen 2x sales productivity, 215% uplift in upsell, 9x faster time to market, and more. John Chambers, Adam Grant, Stewart Butterfield, Marty Nestbitt (chair of the Obama Foundation), Claire Hughes Johnson (COO of Stripe), Mark Templeton (President & CEO of Citrix) are investors/advisors. About the Role We're looking for a Product Engineer/Analytics Engineer who thrives at the intersection of data engineering, product analytics, and commercial impact to join our growing team. This role plays a critical part in enabling data-driven decisions across the business, turning data into insights that influence product direction, customer success, and revenue growth. You’ll build and maintain data pipelines, support A/B testing infrastructure, uncover insights across customer journeys, and ensure our data ecosystem is robust and actionable. Responsibilities Design, develop, and maintain scalable ETL pipelines using Python to support data ingestion, transformation, and integration from multiple sources. Develop and maintain A/B testing frameworks, track key metrics, and analyze experiment results to inform product strategies. Work closely with the product team to develop and drive product strategy and new feature development. Collaborate with cross-functional teams, including customer success, sales, and marketing, to support commercial strategies with data solutions. Analyze customer and operational data to identify trends, patterns, and opportunities that support revenue growth and improve customer engagement. Develop and maintain dashboards and reports using SQL and data visualization tools like Looker, Tableau, or Power BI to present insights to stakeholders. Write and optimize complex SQL queries for data analysis and support decision-making processes. Ensure data integrity and quality through regular audits, validations, and monitoring. Assist in the development of metrics and KPIs to measure the success of business initiatives. Partner with commercial teams to analyze performance data and support customer-facing initiatives. Data analysis and curation to improve AI models What We’re Looking For Bachelor’s degree in Computer Science, Data Engineering, Statistics, Mathematics, or a related field. 5+ years of experience in data engineering, ETL development, or a related role. Strong proficiency in Python, with experience in building ETL workflows and data processing scripts. Advanced SQL skills, including query optimization and database modeling. Proficiency with data visualization tools (e.g., Tableau, Power BI, or Looker). Familiarity with A/B testing methodologies and ability to analyze experiment results. Solid understanding of Excel, including advanced functions and pivot tables. Familiarity with cloud platforms and data storage solutions (e.g., AWS, GCP, Azure) is a plus. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication skills to present data-driven insights to non-technical stakeholders, which may include customers. Ability to work collaboratively in a team-oriented environment. A proactive mindset and eagerness to learn new tools and technologies. Comfortable multitasking across various roles and working independently. Why you'll love working here: You'll be part of an innovation-driven, high-growth company on a mission to improve people's lives Competitive compensation package with equity Flexible location and work-from-home Medical, vision, and dental coverage Flexible vacation and PTO Female Founder/CEO Supportive, highly collaborative team environment BigSpring is an Equal Opportunity Employer. BigSpring does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. You must have authorization to work in the location the position is posted. Join BigSpring and be part of a team that is transforming how individuals and organizations learn and adapt in the age of innovation. If you're passionate about shaping the future of learning and driving growth, we want to hear from you!

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America Position Overview This role will be responsible for designing, building, and maintaining scalable data pipelines and architectures to support the global business’s data needs. The Data Engineer will ensure the availability, reliability, and performance of data systems by integrating raw data from various sources, optimizing data storage solutions, and enabling advanced analytics. Key responsibilities include data modeling, ETL (Extract, Transform, Load) development, and ensuring data quality and security. Effective communication skills, attention to detail, problem-solving abilities, and a strong understanding of modern data engineering tools and technologies are essential. A willingness to collaborate across teams, adapt to evolving business requirements, and continuously learn new techniques and technologies is critical to success in this role. Key Responsibilities Coordinate with the business and data owners to design and build new data models within Azure Lead discussions with IT for data exposure prioritization and cloud platform maintenance Monitor data pipeline performance, identify bottlenecks, and troubleshoot issues to ensure smooth and efficient data operations. Maintain comprehensive documentation of data pipelines, processes, and best practices to facilitate knowledge sharing Ensure data quality and security of the data pipelines, replicating the security structure provided by the raw data sources being accessed Continuously seek out industry best practice and skills to develop new capabilities for data engineering at McCormick and help drive our digital transformation Required Qualifications & Experience Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field. 5-8 Years of Post Qualification Exp. Advanced analytical skillset. Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets Demonstrated ability coding in one or more languages (PySpark preferred) Experience with data visualization software (Power BI preferred) Experience with building data pipelines Demonstrated ability to manage multiple priorities simultaneously At McCormick, we have over a 100-year legacy based on our “Power of People” principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values.

Marketing Executive responsibilities include:Conceiving and developing efficient and intuitive marketing strategiesOrganizing and oversee advertising/communication campaigns (social media, TV etc.), exhibitions and promotional eventsConducting market research and analysis to evaluate trends, brand awareness and competition ventures Job brief We are looking for a talented Marketing Executive to undertake marketing projects for the benefit of our company. You will organize creative campaigns and promotional events that can make a difference for our company’s success according to trends and customer requirements. The ideal candidate will be passionate for the “art” of marketing and will have an abundance of ideas for building efficient strategies. He/she must bring forth a strong arsenal of techniques and methods to promote our products, services and public image. The goal is to reach out to the market and cultivate the customer’s interest in our products and services in ways that strengthen our reputation and facilitate our continuous growth. Responsibilities Conceive and develop efficient and intuitive marketing strategies Organize and oversee advertising/communication campaigns (social media, TV etc.), exhibitions and promotional events Conduct market research and analysis to evaluate trends, brand awareness and competition ventures Initiate and control surveys to assess customer requirements and dedication Write copy for diverse marketing distributions (brochures, press releases, website material etc.) Maintain relationships with media vendors and publishers to ensure collaboration in promotional activities Monitor progress of campaigns using various metrics and submit reports of performance Collaborate with managers in preparing budgets and monitoring expenses Requirements and skills Proven experience as marketing executive or similar role Good understanding of market research techniques, data analysis and statistics methods Thorough knowledge of strategic planning principles and marketing best practices Proficient in MS Office and marketing software (e.g. CRM) Familiarity with social media and web analytics (e.g. WebTrends) Excellent communication and people skills Strong organizational and time-management abilities Creativity and commercial awareness

Reading and interpreting blueprints, schematics, and technical diagrams. Testing electrical components and systems using voltmeters, ammeters, and other tools. Conducting preventative maintenance on electrical equipment, including cleaning, lubricating, and adjusting components. Repairing or replacing faulty wiring, switches, outlets, and other electrical components, according to the Bureau of Labor Statistics. Installing new electrical systems in commercial settings. Troubleshooting electrical problems using diagnostic tools and techniques. Supervising other technicians on larger projects. Ordering supplies and materials for electrical work. Ensuring compliance with safety regulations and codes. Documenting work performed and maintaining records.

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Qualifications Bachelor’s Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Job Description Position Overview As a Senior Data Scientist in the Ecommerce Methods team, you’ll develop and implement data-driven solutions to enhance ecommerce measurement and performance. You’ll design forecasting models, collaborate with cross-functional partners, and ensure the quality and impact of analytics. This role involves solving real-world retail challenges and communicating insights to both technical and non-technical audiences. Key Responsibilities Methodological Development: Collaborate in the design, prototyping, and refinement of data science methodologies to measure online retail performance Advanced Analytics: Develop, test, and validate statistical and machine learning models addressing revenue forecasting, outlier detection, missing data imputation, and data synthesis Quality Assurance: Contribute to validation efforts, code reviews, and documentation, promoting reliability and reproducibility in our analytics Knowledge Sharing: Present findings internally, contribute to technical documentation, and stay abreast of advancements in ecommerce analytics Collaboration & Support: Partner with colleagues across teams to understand business needs and support the deployment of analytical solutions. Mentor junior team members and contribute to a collaborative team environment Continuous Learning: Keep up-to-date with the latest trends, tools, and best practices in data science, machine learning, and ecommerce analytics Qualifications Education: Master’s degree (or higher) in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field Experience: 3+ years of hands-on data science or advanced analytics experience, preferably in ecommerce, retail analytics, or digital marketing High proficiency in Python, with experience in statistical modeling, machine learning, data wrangling, and visualization Solid understanding of statistical inference, time series analysis, and machine learning algorithms Experience with version control (Git) and containerization (Docker) is a plus Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates. DeepLearning.AI is looking for a Curriculum Engineer to work alongside our growing team of developers and engineers. In this role, you will apply your programming skills to help Subject Matter Experts (SMEs) create and / or revise AI and ML coding exercises, write and maintain high-quality code, test and debug new code exercises on the Coursera platform, and build and deploy autograder software for coding exercises. Your experience as an educator, your technical skills in the AI space and your ability to communicate and work well with a team will all be critical for this role. We are open to remote global workers as long as they are available to work within 3 time zones of California (PDT / GMT -7). Here’s what you’ll do: Help Subject Matter Experts (SMEs) to create and / or revise coding assignments: In this role, you will be responsible for creating and / or revising coding exercises in collaboration with SMEs. Although you do not have to be an expert in the subject of every course, you have to be sufficiently technical to develop coding exercises given a set of specifications, or review / revise code that was written by others. As such, we expect you to be proficient in math (calculus, linear algebra and statistics) as well as Python programming (functions, classes, data structures, machine learning frameworks) at a level where you can rapidly learn AI topic areas that are new to you and contribute to / provide feedback on course code exercises. Write and maintain high-quality code: Your software engineering skills are more important for this role than your knowledge of AI, but at least a basic knowledge of AI / machine learning (enough to be a successful learner in the course you’re working on) is a requirement. You’ll be expected to collaborate with SMEs and others to write well documented code that is easily human readable and maintain that code using best practices in GitHub. Python is our preferred language, but a high degree of proficiency in another OOP language similar to Python could serve as a replacement for the Python requirement identified above. Test and debug new code exercises on the Coursera platform and revise / update existing coding exercises: The development of code exercises often happens offline, but you’ll also be responsible for uploading and testing exercises within the Coursera Labs environment. You will also work on maintenance and updates of existing coding exercises. This includes implementing improvements such as fixing bugs / refactoring individual code exercises, collecting and modifying datasets to ensure the code exercises have the desired pedagogical impact, as well as implementing course-wide revisions to update to the latest version of a framework or package being used in the code exercises. Build and deploy autograder software for coding exercises: All of our coding exercises are set up to be automatically graded by software. Familiarity with writing good software unit tests, working with docker containers and debugging across various platforms is critical for this role. Apart from writing robust code, you will always be working with an eye toward how to “humanize” the autograder systems we deploy, such that learners get meaningful automated feedback when their code needs to be revised. Here are the skills you should have: Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning such as DLAI’s Deep Learning Specialization. We expect you to be proficient in math (calculus, linear algebra, statistics etc.) as well as Python programming (functions, classes, data structures etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you. Basic knowledge of AI / machine learning is required. Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or a Bachelor’s degree and equivalent industry experience with hands-on expertise in machine learning, software development, or data-driven model deployment. In-depth knowledge and experience designing and/or teaching technical courses online or offline, with experience in designing, structuring, and teaching technical courses specifically in machine learning, data science, or artificial intelligence. Demonstrated ability to create interactive, applied learning experiences. Knowledge of software testing best practices and experience with Github, Docker. Excellent communicator with an ability to author and edit high-quality written content in English. Knowledge of instructional design best practices, specifically as it relates to content creation. A team player with willingness to be flexible in timing and tasks to produce the best quality product. Bonus if you have: Industry experience as a data scientist, machine learning engineer or similar. Previous experience developing online asynchronous curriculum in the areas of AI, machine learning, data science, robotics or similar. Familiarity with pedagogical practices such as defining learning objectives and backward design, as well as experience applying such practices in the creation of online educational content. By working with us you will: Being part of a world-class team of subject matter experts from various fields (marketing, operations, product, etc.) trying to change the world. Work across cultural and geographical lines alongside our offices in different parts of the world. The opportunity to be exceptionally creative with your high-impact ideas. Our defining values: We care deeply about our learners: We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves. We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and the people we hire. We default to action: We are comfortable acting with limited information and taking ownership of our decisions. We ask why: We ask the hard questions and are open to being in the wrong. We advocate for the best ideas, not our ideas. We are honest and authentic: We are transparent as an organization, over-communicate to build trust, and share our failures just as we do our successes. We do this together: We help each other grow and succeed and have fun at work, even in a remote environment. At DeepLearning.AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. DeepLearning.AI believes that diversity and inclusion among our employees are critical to our success as a company. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business needs.

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Data Science Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Analyst, you will conduct specific advanced data analyzes, develop custom tools, annotate data and implement robust data quality controls using statistical methods. You will support one specific area of our portfolio. Roles & Responsibilities: - Develop custom data analytics tools and data visualizations to report on data quality and AI model performance KPIs. - Provide technical support to existing solutions, addressing bug fixes and simple issues - Independently design and utilize specialized tools to annotate data in various formats (e.g. timeseries) for predictive algorithm development, validation and monitoring - Support data scientists with data exploration and cleaning, data analytics, data visualizations and data annotations. - Stay current with the latest advancements in advanced data analytics technologies to provide informed support and recommendations. - 1-3 years experience in advanced data analysis on large data sets, including data annotation, cleaning and data visualization. Professional & Technical Skills: - Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles) - Data engineering tools (Python, pandas, jupyter notebook) - Visual analytics platforms (Tableau, Superset, Streamlit) - Database and other data storage technologies (SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB) - Cloud platform technology (AWS, MS Azure or Snowflake) - System infrastructure in Linux/Windows (Bash, PowerShell, Docker, CRON, Apache Airflow) - Demonstrated knowledge in a) Applied Mathematics (statistics, regression, simulation, scenario analysis) b) Advanced Data Analytics (applied statistics, model evaluation, data visualization) - Good problem-solving skills and attention to detail. - Ability to communicate well with stakeholders and customers from a wide range of backgrounds - Must be able to function independently as well as work in a collaborative team environment. - Willingness to learn new technologies Additional Information: - The candidate should have minimum 3 years of experience in Data Science. - This position is based at our Bengaluru office. - A 15 years full time education is required. - Bachelor degree in Computer Science, Mathematics, Data Science or related field with coursework in statistics or data science.

About The Job Sanofi is a pioneering global healthcare company committed to advancing the miracles of science to enhance the well-being of individuals worldwide. Operating in over 100 countries, our dedicated team is focused on reshaping the landscape of medicine, transforming the seemingly impossible into reality. We strive to provide life-changing treatment options and life-saving vaccines, placing sustainability and social responsibility at the forefront of our aspirations. Embarking on an expansive digital transformation journey, Sanofi is committed to accelerating its data transformation and embracing artificial intelligence (AI) and machine learning (ML) solutions. This strategic initiative aims to expedite research and development, enhance manufacturing processes, elevate commercial performance, and deliver superior drugs and vaccines to patients faster, ultimately improving global health and saving lives. What you will be doing:: As a dynamic Data Science practitioner, you are passionate about challenging the status quo and ensuring the development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influential leader with hands-on experience deploying AI/ML and GenAI solutions, applying state-of-the-art algorithms with technically robust lifecycle management. Your keen eye for improvement opportunities and demonstrated ability to deliver solutions in cross-functional environments make you an invaluable asset to our team. Main Responsibilities This role demands a dynamic and collaborative individual with a strong technical background, capable of leading the development and deployment of advanced machine learning while maintaining a focus on meeting business objectives and adhering to industry best practices. Key highlights include: Model Design and Development: Lead the development of custom Machine Learning (ML) and Large Language Model (LLM) components for both batch and stream processing-based AI ML pipelines. Create model components, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and fine-tuning, ensuring alignment with technical and business requirements. Develop and maintain full-stack applications that integrate ML models, focusing on both backend processes and frontend interfaces Collaborative Development: Work closely with data engineer, ML Ops, software engineers and other team Tech team members to collaboratively design, develop, and implement ML model solutions, fostering a cross-functional and innovative environment. Contribute to both backend and frontend development tasks to ensure seamless user experiences. Model Evaluation: Collaborate with other data science team members to develop, validate, and maintain robust evaluation solutions and tools for assessing model performance, accuracy, consistency, and reliability during development and User Acceptance Testing (UAT). Implement model optimizations to enhance system efficiency based on evaluation results. Model Deployment: Work closely with the MLOps team to facilitate the deployment of ML and Gen AI models into production environments, ensuring reliability, scalability, and seamless integration with existing systems. Contribute to the development and implementation of deployment strategies for ML and Gen AI models. Implement frontend interfaces to monitor and manage deployed models effectively. Internal Collaboration: Collaborate closely with product teams, business stakeholders, data science team members to ensure the smooth integration of machine learning models into production systems. Foster strong communication channels and cooperation across different teams for successful project outcomes. Problem Solving: Proactively troubleshoot complex issues related to machine learning model development and data pipelines. Innovatively develop solutions to overcome challenges, contributing to continuous improvement in model performance and system efficiency. Key Functional Requirements & Qualifications Education and experience: PhD in mathematics, computer science, engineering, physics, statistics, economics, operation research or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with 3+ years of data science experience Technical skills: Disciplined AI/ML development, including CI/CD and orchestration Cloud and high-performance computing proficiency (AWS, GCP, Databricks, Apache Spark). Experience deploying models in agile, product-focused environments Full-stack AI application expertise preferred, including experience with front-end frameworks (e.g., React) and backend technologies. Communication and collaboration: Excellent written and verbal communication A demonstrated ability to collaborate with cross-functional team (e.g. business, product and digital) Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Sanofi achieves its mission, in part, by offering rewarding career opportunities which inspire employee growth and development. Our 6 Recruitment Principles clarify our commitment to you and your role in driving your career. Our people are responsible for managing their career Sanofi posts all non-executive opportunities for our people We give priority to internal candidates Managers provide constructive feedback to all internal interviewed candidates We embrace diversity to hire best talent We expect managers to encourage career moves across the whole organization Pursue Progress Discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Introduction Games24x7 is Indias leading and most valuable multi-gaming unicorn. Were a full-stack gaming company, offering awesome game playing experiences to over 100 million players through our products - RummyCircle, Indias first and largest online rummy platform, My11Circle, the countrys fastest growing fantasy sports platform A pioneer in the online skill gaming industry in India, Games24x7 was founded in 2006 when two New York University trained economists Bhavin Pandya, and Trivikraman Thampy met at the computer lab and discovered their shared passion for online games. Weve always been a technology company at heart, and over the last decade and a half, weve built the organisation on a strong foundation of the science of gaming, leveraging behavioural science, artificial intelligence, and machine learning to provide immersive and hyper-personalised gaming experiences to each of our players. Backed by marquee investors including Tiger Global Management, The Raine Group, and Malabar Investment Advisors, Games24x7 is leading the charge in Indias gaming revolution, constantly innovating and offering novel entertainment to players! Our 800 passionate teammates create their magic from our offices in Mumbai, Bengaluru, New Delhi, Miami, and Philadelphia. For more information and career opportunities you may visit www.games24x7.com. Role : Analytics Manager Location : Bangalore or Mumbai Develop sophisticated analytics systems to help with businessmetrics trend analysis,campaign analysis and insighted To analyze/estimate impact of changesto product and promotions and identify next steps to improve RoI. A/B testing is the core of how we execute. To come up with actionable use behavior insightsto improve productexperience and marketing offers. To convert actionable insights into well-defined projects. To understand underlying player behavior. Minimum Job Qualifications: At least 4 years of experience in analytics. Hands on Experience with Python, SQL, and Tableau. Deep knowledge of A/B testing methods and frameworks Degree in Engineering/Statistics/Management Basic knowledge of digital marketingis preferable. Good understanding of statistics, probability, and segmentation techniques. Exceptional logicaland analytical skills Strong abilityto parse throughdata and detect patterns Strong abilityto convert patternsin data to test hypotheses Good writtenand oral communication skills Show more Show less