1830 Data Mining Jobs - Page 28

Proficiency in geological and survey software (Surpac, AutoCAD, Minex, etc.). Knowledge of statutory mining guidelines. Strong analytical and planning skills. Good communication and team leadership.Geological Exploration & Resource Evaluation. Required Candidate profile Mine Surveying & Mapping, Data Management & Reporting, Planning & Coordination ,Regulatory & Statutory Compliance,Technology & Innovation.

What We're Looking For Bachelors degree or final year students can also apply Good analytical and problem solving skills Good knowledge of Python and analytical tools/libraries Responsibilities Apply statistical methods and techniques to analyze data and derive meaningful insights. Conduct hypothesis testing, correlation analysis, and regression analysis using Pythons statistical libraries Create reports, dashboards, and data visualizations using tools like Tableau, Power BI, or Dash. Automate report generation and scheduling using Python scripts. Ensure the accuracy, completeness, and reliability of data through data validation and quality assurance processes. Identify and address data anomalies, errors, and inconsistencies. Collaborate with cross-functional teams including data engineers, business analysts, and stakeholders to understand business requirements and deliver actionable insights. Communicate analysis findings and recommendations effectively to technical and non-technical audiences.

Location : Hyderabad Work Model (Hybrid / WFO) : Hybrid & 3 Days per week (Tue, Wed, Thu) Experience Required: 5+ Employment Type (Full-Time / Part-Time / Contract): Full-time Mandatory Skills: Advanced SQL, Tableau / Snowflake / Teradata Python would be a plus Job Summary & Key Responsibilities: Design, develop, and support dashboards and reports. Provide analysis to support business management and executive decision-making. Design and develop effective SQL scripts to transform and aggregate large data sets, create derived metrics, and embed them into business solutions An effective and good communicator has demonstrated experience in handling larger and more complex business analytics projects 6+ years of relevant experience in design, development, and maintenance of Business Intelligence, reporting, and data applications Advanced hands-on experience with Tableau or similar BI dashboard visualisation tools Expertise in programmatically processing large data sets from multiple source systems, integration, data mining, summarisation, and presentation of results to exec audience. Advanced knowledge of SQL in related technologies like Oracle, Teradata, performance debugging, and tuning activities Strong understanding of dev to production processes, User Acceptance and Production Validation testing, waterfall and agile development, and code deployment methodologies Experience in core data warehousing concepts, dimensional data modeling, RDBMS, OLAP, ROLAP Experience with ETL tools used to automate manual processes (SQL scripts, Airflow/Nifi) Experience with R, Python, Hadoop Only Immediate Joiner Thanks & Regards, Milki Bisht- 9151206474 Email id milki.bisht@nlbtech.in

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. Experience with distributed data processing frameworks and modern GCP analytical and transactional data stores (e.g., BigQuery, Cloud SQL, AlloyDB), and experience working with at least one database type to write SQL queries. Experience in GCP. Preferred qualifications: Experience working with data warehouses, including technical architectures, infrastructure components, ETL/ELT processes, reporting and analytics tools, environments, and data structures. Experience with encryption techniques like symmetric, and asymmetric encryption, HSMs, and envelop encryption, along with the ability to implement secure key storage using Key Management System (KMS). Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience architecting, developing software, or internet-scale, production-grade Big Data solutions in virtualized environments. Experience in Big Data, information retrieval, data mining, or machine learning. Experience with IaC and CI/CD tools like Terraform, Ansible, Jenkins etc. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product tests. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work with Product Management and Product Engineering teams to build and drive excellence in our products. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Design, migrate/build and operationalize data storage and processing infrastructure using Cloud native products. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

Who We Are Saveo is a managed marketplace bringing primary & secondary medicine market together, offering faster delivery, cheaper procurement & better technology to pharmacies. It runs with an aim that no prescription shall bounce in India. Pharmacy in itself is a living organism having requirements at different fronts : acquisition of new customers, retaining customers, managing inventory, managing suppliers, finances etc. The Indian pharmaceutical industry is highly fragmented with 6.5lakh retailers and 65000 distributors, unlike the US where there are just 5 major distributors covering 93% of the market share. We aim to streamline this supply chain by being a single distribution point and empower these 6.5lakh micro-entrepreneurs with technology and sustainability. What We're Looking For check Bachelors degree in Data Science, Analytics, Healthcare Management, or a related field or Fresher from Tier 1 college ( recent Passouts) check Proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI) Strong analytical and problem-solving skills Knowledge of healthcare workflows and basic understanding of medical terminologies Excellent communication and collaboration abilities Responsibilities Collect, clean, and analyze healthcare operations data (e.g., patient records, and workflow metrics) Generate reports and dashboards to track key performance indicators (KPIs) Identify trends and inefficiencies in operational processes Assist in forecasting and planning for resource allocation Ensure compliance with data privacy regulations (e.g., HIPAA) Collaborate with teams to implement data-driven solutions

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. Experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and hadoop frameworks. Experience in Google Cloud Platform. Experience in data processing frameworks and Google Cloud Platform with investigative and transactional data stores like BigQuery, CloudSQL, AlloyDB, etc. Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience in building applications with modern technologies like NoSQL, MongoDB, SparkML, and TensorFlow. Experience with architecting, developing software, or internet production-grade Big Data solutions in virtualized environments. Experience with Infrastructure as Code (IaC) and CI/CD tools like Terraform, Ansible, Jenkins, etc. Experience with encryption techniques like symmetric, asymmetric, Hardware Security Module (HSMs) and envelop with ability to implement secure key storage using Key Management System. Experience in working with data warehouses, including technical architectures, infrastructure components, ETL/ELT and reporting tools, environments, and data structures. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform (GCP). You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot platform/product tests. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for solution architectures and advisory services. Engage with technical leads, and partners to lead migration and modernization to Google Cloud Platform (GCP). Design, migrate/build, and operationalize data storage and processing infrastructure using Cloud native products. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Take project requirements and organize them into goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience in GCP. Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc. Experience architecting, developing software, or Big Data solutions in virtualized environments. Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop. Ability to implement secure key storage using Key Management System. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP. Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.

Minimum qualifications: Bachelor s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Experience in distributed data processing frameworks and modern age investigative and transactional data stores. Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures. Experience in big data, information retrieval, data mining. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB. Experience with Infrastructure as Code (IaC) and Continuous Integration/Continuous Delivery (CICD) tools like Terraform, Ansible, Jenkins etc. Understanding of at least one database type with the ability to write complex SQLs. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Strategic Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an in-depth understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering teams to build and constantly drive excellence in our products.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Design, Migrate/Build and Operationalize data storage and processing infrastructure using Cloud native products. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 3 years of experience in solution engineering and 1 year of experience in stakeholder management, professional services, or technical consulting. 2 years of experience writing code in one or more programming languages (e.g., Python, Java). Preferred qualifications: Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience in distributed data processing frameworks and modern age analytical and transactional data stores. Experience in Big Data, information retrieval, and data mining. Experience with IaC and CICD tools like Terraform, Ansible, Jenkins, etc. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Cloud Data Consultant, you'll guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you'll work closely with Product Management and Product Engineering teams to build and constantly drive excellence in our products. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with clients to understand their objectives and challenges, identify technical gaps, and surface opportunities for solution reuse or innovations. Design and implement solutions that meet client needs and are compliant with data and legal policies. Understand the nuances of clients within the industry and develop subject matter expertise in trending spaces.

Designation: Data AnalystThe Business Analyst role is one of the most crucial roles in any organization and so is it in Gameskraft. This role offers taking initiatives, dealing with challenging problems, building data science models, finding insights from existing data and presenting it through power of data visualization.This role is in the Fairplay (FPV) team which leads development and implementation of effectivefraud detection and prevention strategies to mitigate losses while ensuring an appropriatebalance between risk and customer experience.What you will do : You ll work with large, complex data sets to solve high-impact business problems which will have a direct impact on the growth of the company. Solving these problems will involve data mining, experimentation, statistical analysis, related techniques, and machine learning using tools like SQL, Python, Tableau, Excel etc. You ll be involved in multiple cycles of data analysis - forming an initial hypothesis, extracting, analysing, dissecting that data as per the hypothesis, presenting the insights in a crisp, actionable manner; and then keep reiterating the whole process till you reach the conclusion Your role would require building data science models using the latest methodologies You ll also be responsible for fixing data issues in coordination withthe data engineering team and conducting root cause analysis. You ll work with multiple stakeholders from product, operations, and CX teamsWhat you will bringWell, apart from a few cookies every day, it d be great if you came with these Bachelor s degree in Engineering or Economics or Mathematics or Statistics or related discipline 1-2 yrs. experience in data analytics or data sciences preferably for a product-oriented company Candidate needs to exhibit structured thinking and strong analytical skills Hands-on experience with data manipulation tools like SQL, R, Python, Excel etc. Exposure to visualization tools like Tableau, Power BI etc

This position will support the Anomaly Detection Platforms (ADP) team and help drive several of Visa s most important and high-visibility fraud deterrence and compliance enablement projects within Global Risk team at Visa. This fast-paced team of technology experts identifies, investigates, disrupts and prevents compliance breaches and fraud attacks targeting the global payment ecosystem. This data and analytics team is working closely with the Visa Direct team to identify non-compliance across money-movement merchants and their acquiring banks leveraging advanced analytics and data science techniques. Key measures of success for this position include the ability to develop and automate key data intelligence capabilities that optimize detection of Visa Direct acquirer & merchant non-compliance activities, the development of advanced metrics that evaluate the non-compliance risk of key clients, and automated reporting at scale for business enforcement. The solutions developed under this role will lead to measurable improvement in Visa Direct s transactional data integrity and streamlined operations of Visa Direct business. The primary responsibilities for this role will include: Lead the design and production deployment of new and advanced techniques to recognize non-compliance in Visa Direct AFT and OCT transactions - including peer-to-peer transfers, wallet loads, account funding, money transfers, etc. Manage non-compliance detection taxonomies and thresholds that optimize true positive detections. Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and non-compliance identification. Collaborate closely with issuing and acquiring clients to understand their specific risk and fraud challenges, providing expert guidance and tailoring solutions to their needs. Provide data analysis to provide evidence against non-compliance in merchant registration and operations. Continuously question and consider new techniques to stay ahead of key money movement trends. Assist in the coordinated compilation and delivery of reporting, briefings, and other related communication products to Visa management. Collaborate with Technology partners to enhance detection capabilities for improved insights and pattern detection. SECONDARY RESPONSIBILITIES: Develop customized monitoring solutions to enable clients to take proactive action during merchant registration to avoid non-compliance at source. Support the development of data-led cybercrime and fraud prevention initiatives - including point-of-sale (card present/card not present) terminal fraud, anomalous cross-border volumes, Purchase Return Authorization fraud, data manipulation attacks, and ATM Cashouts. Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem. Create detailed documentation for all the Visa Direct analytics solutions. Communicate openly with the Visa Direct team and act as an SME and point of escalation. Develop a plan to partner and gather intelligence details from acquirers for all source analysis. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. REQUIRED: 3 years of work experience (preferably in payments industry) with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, or PhD) Bachelors or Masters in Computer Science, Operations Research, Statistics, or highly quantitat

We are seeking a Principal Analyst in Data Science to lead our data science initiatives and drive innovation in our analytical capabilities., responsibilities: [ Selecting features, building, and optimizing classifiers/regression using machine learning and deep learning techniques, Proficient in using data analytics tools to perform queries and analyses and for defining and correlating data, Processing, cleansing, and verifying the integrity of data used for analysis, Performing data mining and analytics to support ongoing continuous risk monitoring, Utilize data analysis by leveraging various statistical techniques, Drive efficiency by automation of manual processes ], requirements: [ Excellent understanding of machine learning algorithms, Deep Knowledge of ML/AI software and packages, Proficiency in statistics concepts, Expertise in model validation and hyperparameter tuning, Proficiency in using query languages such as SQL, spark, Experience with Power BI, Python, PySpark, Undergraduate degree in engineering with 4+ years experience ],

"Overview Experience 10 + Years Shift 2-11 pm Location Hyderabad /Bangalore /Chennai About Omnicom Global Solutions Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company Omnicom s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services to over 5,000 clients in more than 70 countries Omnicom Global Solutions India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management About Role We are seeking an experienced Data Analytics Manager with 10+ years of proven management and leadership experience The ideal candidate will have strong Data Analytics skills and the ability to manage a growing team This role involves overseeing projects through all stages of the project lifecycle, including initiation, scoping, planning, execution, and execution This role will work closely with the project management team onshore to ensure that both onshore and offshore teams are aligned on weekly deliverables Responsibilities Leadership & Team Management Lead projects, manage people, and deliver results to business leads Focus on mastering team management and progressing into firm leadership Provide project oversight and strategic direction Collaborate with all employee levels to deliver meaningful work Manage a team of data analysts and assisting with unlocking their potential and shaping their growth Data Analytics & Strategy Translate business problems into analytical frameworks and models Develop and maintain data models, reporting systems, dashboards, and automation tools to support business decisions Implement quality control measures to ensure data integrity, consistency, and reliability Guide the team in performing statistical analysis, predictive modeling, and business intelligence reporting Design and implement technical processes for data intake, validation, mining, and engineering Working knowledge of data mining principles predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources Oversee the creation and delivery of reports, insights, and key performance metrics for business functions You will be working closely with Global Finance Leaders / members of agency Finance Team and will have responsibilities to achieve group goals with respect to Reporting, Planning, Forecasting, Working Capital, and accounting support Qualifications Bachelor s degre

Job Description: Role Title : AVP, Marketing technology audience analyst (L10) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India s Best Companies to Work for by Great Place to Work. We were among the Top 50 India s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview : The Performance Marketing Team is the engine behind business growth as it handles the majority of marketing activities. This includes targeting the right audience through campaigns, distributing content via channel marketing, conducting a thorough analysis of campaign launches and budgets, and also ensuring compliance via surveillance and governance all to maximize results and maintain a competitive edge. Together this team drives ROI and elevates Synchronys brand presence in a dynamic market. Role Summary Synchrony is continuing to build a world class Performance Marketing Organization committed to driving results with our retail and payments partners while also delivering leading customer experiences. The AVP, Audience Analyst will be responsible for mining and analyzing digital audience performance, delivering insights centered on audience strategies and persona development and developing digital audiences. Additionally, this role will excel in the understanding, building and tracking of audiences in various platforms and develop best practices for audience governance as well as support the broader audience strategy development. Key Responsibilities Perform and deliver audience analyses using multiple internal and external data sources and develop insights which will optimize current audience campaigns and direct future campaign strategies and activities. Create data personas and consult with marketing partners to drive the understanding of trends and audience opportunities Partner with cross functional teams to identify key audiences and assist in the collection of data for audience insight Build audiences, managing the workflow from onboarding of CRM data, the anonymization process, to pushing audience segments to destinations for programmatic and personalization campaigns Develop partnership with cross functional teams, establishing a strong communicative and collaborative atmosphere, to understand their business needs and goals and ultimately deliver processes and opportunities Perform other duties and/or special projects as assigned Qualifications/Requirements Bachelors Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain 5+ years experience working in enterprise-level data sciences, analytics and/or customer intelligence, including: 3+ years of professional digital marketing experience, working directly within Digital Platforms (ex. CDP, DMP, DV360, Google Analytics, Adobe Analytics, Neustar, LiveRamp, Dynamic Yield, Optimizely, Adobe Audience Manager, Salesforce, etc) Desired Characteristics: Proven experience executing analyses with massive data sets, complex data structures and multi-variate campaign strategies. Expert proficiency with leading-edge data mining techniques with analytic programming languages including Python, SQL, Java, SAS and others Leadership experience working with cross-functional partners (i.e., Media, Client Marketing, IT, Enterprise Operations) to deliver against mutual goals and ensure alignment of priorities and requirements. Working knowledge of analytic platforms and tools such as Hadoop, R, Hive as well as BI tools such as Tableau Operational understanding in areas such as probability and statistics; familiarity with machine learning and artificial intelligence a plus. Experience with compiling and analyzing data from paid media and digital marketing campaigns to report out actionable results Ability to provide wing-to-wing analytic activities data aggregation, analysis preparation, data interpretation and presenting strategic recommendations to client/product teams Expert proficiency with leading-edge data mining techniques and analytic platforms (including but not limited to Python and R) to feed a strong data management foundation Creative thinker with successful history of synthesizing insights to inform business decisions and lead strategic discussions; providing innovative thought leadership and developing actionable outcomes with tangible results Highly motivated, assertive self-starter with the ability to work autonomously or as a strong team participant Experience in Agile methodologies and processes a plus Experience with consumer financial services organizations, preferably with exposure to credit card marketing or retail marketing, consumer protection, privacy and related laws and policies. Eligibility Criteria: Bachelors Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain Work Timings : 2:00 PM to 11:00 PM IST For Internal Applicants : Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L8+ Employees can apply Level / Grade - 10 Job Family Group: Marketing

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. Responsibilities: Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling. Function as a predictive modeling or application team lead on Core Map projects. Who are you? MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 8+ years related professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) What You ll Get: Challenging problems to solve Opportunities to learn cool new things Work that makes a difference in the world Freedom to decide how to perform your work Variety in the types of projects Feedback so you will know how well you are doing Collaborative, Supportive Colleagues

Job Title Marketing Data Science - General Manager Job Description Job Responsibilities: Analyzes and synthesizes complex data sets to develop innovative solutions, formulate advanced hypotheses, and create sophisticated proof of concepts to validate and enhance analytical models. Ensures the integrity and reliability of data through the implementation of robust validation protocols, advanced data governance frameworks, and comprehensive quality assurance processes, working under limited supervision. Participates in large-scale data mining projects, utilizing cutting-edge algorithms, AI, and machine learning techniques to uncover deep insights and actionable intelligence from vast, multi-source data sets. Coordinates the end-to-end deployment and rigorous validation of data science solutions, ensuring optimal performance, seamless integration, and alignment with enterprise systems and business processes. Builds and optimizes scalable, high-performance data pipelines and workflows using state-of-the-art big data technologies, ensuring efficient handling and processing of large-scale data for advanced analytics. Develops, documents, and disseminates advanced analytical methodologies and best practices, ensuring reproducibility, transparency, and fostering cross-functional collaboration and knowledge sharing. Evaluates and implements cutting-edge AI and machine learning techniques, pioneering innovative approaches to address complex business challenges and drive strategic advancements in analytics. Monitors, maintains, and continuously enhances the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact. Identifies, assesses, and leads the implementation of advanced data science methodologies and technologies, driving continuous innovation and elevating Philips analytics capabilities to new heights. Guides junior data scientists and analysts, providing expert advice, training, and fostering a culture of excellence, continuous learning, and professional growth within the data science team. Participates in strategic initiatives to evaluate and integrate emerging technologies, open-source tools, and advanced data science frameworks, ensuring Philips stays at the forefront of innovation and maintains a competitive edge in the analytics domain. Minimum required Education: Bachelors / Masters Degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent. Minimum required Experience: Minimum 15 years of experience with Bachelors OR Minimum 13 years of experience with Masters in areas such as Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition or equivalent. Preferred Skills: Data Analysis & Interpretation Data Governance Statistical Methods Statistical Programming Software Business Intelligence Tools Data Mining Machine Learning Engineering Fundamentals Research & Analysis Requirements Analysis Root Cause Analysis (RCA) Data Quality Management Systems Regulatory Compliance How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company s facilities. Field roles are most effectively done outside of the company s main facilities, generally at the customers or suppliers locations. Indicate if this role is an office/field/onsite role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .

Are you ready to embark on a thrilling journey in the smartphone e-commerce? Were on the lookout for a leader to spearhead our latest initiative, operating at the forefront of innovation in a dynamic, fast-paced environment. This role demands the agility to navigate across multiple functions seamlessly, the resilience to thrive in a fast paced environment, excitement to handle challenges head-on and excellence in analytical abilities. About the role: Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with different Amazon teams to help optimize and improve the smartphone business. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon smartphone business. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon s strategic needs. The candidate should enjoy problem solving, conducting Root Cause analysis and should be proficient in SQL, Excel, and Visualization tools (Tableau, Quicksight or similar) . Deliver on all analytical requirements across different business areas required for launch of the new initiative Own the design, development, and maintenance of ongoing metrics, reports, analysis, dashboards, etc. to drive key business decisions. Perform both ad-hoc and strategic data analysis Build Dashboards to tell the story and let the data speak for itself Ensure data accuracy by validating data for new and existing tools Apply data mining and quantitative analysis to understand ways to improve our content selection, shopping experience and delivery speed for our customers Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls 1+ years of sales experience Bachelors degree Bachelors degree in engineering, commerce, business administration or equivalent

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decisionmaking and automation. s Position responsibilities and expectations Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. Ability to learn new scripting language or analytics platform. Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. Strong understanding of deploying and optimizing AI application in production. Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Nonparametric analysis. Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. Experience in advanced Text Analytics (NLP, NLU, NLG). Strong handson experience of endtoend statistical model development and implementation Understanding of LLMOps, ML Ops for scalable ML development. Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) Experience in video/ image analytics (Computer Vision) Experience in IoT/ machine logs data analysis Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME Expertise in Cloud analytics platforms (Azure, AWS or Google) Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generative AI services like OpenAI, Google (Gemini) Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) Understanding of finetuning for pretrained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. Proven capability in building customized models from opensource distributions like Llama, Stable Diffusion Mandatory skill sets AI chatbots, Data structures, GenAI objectoriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets AI chatbots, Data structures, GenAI objectoriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required 310 Years Education qualification BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education Degrees/Field of Study required Bachelor of Technology, Bachelor of Engineering, Master Degree Degrees/Field of Study preferred Required Skills Generative AI Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Travel Requirements Government Clearance Required?

: Job TitleESG Data / Operations Analyst, AVP LocationMumbai, India Role Description About DWS DWS, publicly listed asset management division of Deutsche Bank, is one of the world's leading investment management organizations with billions of assets under management. DWS provides flexible products and solutions to a wide range of investment opportunities across all asset classes from pooled funds to highly customized portfolios for a wide range of investors and offers individuals and institutions traditional and alternative investments across all major asset classes. About the DWS ESG Engine team Our dedicated DWS ESG team is part of DWS Platform Sustainability team with activities integrated into the investment process, designed to go beyond the fiduciary duties. Our proprietary DWS ESG Engine uses data from multiple vendors which allows us to rely on amongst the best data sources available for analysis. The wealth of information available from these providers means that the DWS ESG Engine has access to more than 50 million data points for over 10,000 companies. The software translates the available data into a consistent evaluation process, to derive DWS ESG ratings which are used for investment process. About DWS India (P) Ltd DWS India (P) Ltd., is a wholly owned subsidiary of DWS Group GmbH & Co. KGaA (part of Deutsche Bank Group). Our teams in Mumbai focuses on Research & Analytics, Portfolio Management Support, Business Management Support, etc. across all divisions of DWS Group What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities As an ESG Analyst you are part of the DWS ESG Engines ESG Data & Research Team. The ESG Engine Team is part of DWS international Platform Sustainability Team, which has a dual reporting line into DWS Chief Investment Officer and the Head of the Product Division. Ensure operational excellence that istimely and accurate ESG signal production. Run the monthly result validation / quality assurance procedures, which requires in-depth analysis of ESG assessments and changes in different detail levels, and coordination of review loops within the engine team, research and other internal/external functions Engage with ESG data vendors in case of concerns on data quality Engage with the DWS teams monitoring the compliance of DWS investments with guidelines based on our ESG data and ensure that all actions are based on validated results. Engage with ESG Engine engineers which design and build the platform on which the ESG results are algorithmically evaluated Provide one-stop service for ad-hoc queries from the business on ESG data and results. This requires understanding of the implemented methodology. Enhance operational excellence by continuously challenge the status-quo and propose changes to and/or further automate existing procedures Support documentation base of implemented ESG processes and methodology, and train/support the platform Your skills and experience Education and Experience Experience in production support roles, i.e. executing (semi-)manual procedures with zero failure rate Masters degree in Commerce/Science or similar Experience in quality assurance, i.e. review, challenge and/or evidence obtained data Experience on working with high volume of complex data Experience in analyzing company reports / filings Advanced Proficiency in MS-Office Strong analytical skills and mindset Passionate about responsible investing/stewardship and having positive impact Competencies Highly motivated, self-sufficient and ability to learn quickly Intercultural competence, superior communication skills and strict attention to detail Highly structured and dedicated approach to work High interest in taking on new challenges Ability to work independently and as part of the team High level of comfort in dealing with different levels of management How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT s Global Data & Analytics Team, and the Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About the Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor s degree required, preferably with a quantitative focus ( Statistics , Business Analytics , Data Science , Math, Economics, etc.) Master s degree preferred (MBA/MS Computer Science /M.Tech Computer Science , etc.) Relevant Experience 3-4 years of relevant working experience in a data science / advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics , Marketing Analytics , Customer Analytics ) Statistical modelling using Analytical tools (R, Python , KNIME, etc.) and use big data technologies Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) #LI-DS1

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. The India Data & Analytics Global Capability Centre is an integral part of ACT s Global Data & Analytics Team and the Associate Data Scientist will be a key player on this team that will help grow analytics globally at ACT. About the Role The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining , statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Structure hypothesis, build thoughtful analyses, develop underlying data models , and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure , pipelines, and data workflows to automate dashboards and analyses Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Qualifications and experience Bachelor s degree required, preferably with a quantitative focus ( Statistics , Business Analytics , Data Science , Math, Economics, etc.) Master s degree preferred (MBA/MS Computer Science /M.Tech Computer Science , etc.) 1-2 years of relevant working experience in a data science / advanced analytics role Knowledge of Functional Analytics (Supply chain analytics , Marketing Analytics , Customer Analytics ) Knowledge and ability to conduct statistical modelling using Analytical tools (R, Python , KNIME, etc.) and use big data technologies Knowledge of business intelligence & reporting (Power BI, Tableau , Alteryx , etc.) Knowledge of Enterprise reporting systems, relational ( MySQL , Microsoft SQL Server etc.), non-relational database management systems and Data Engineering tools Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto etc) and Cloud computing services in Azure/AWS/ GCP for data engineering , ML Ops Ability to delivery, strong disposition towards business and strong interpersonal communication Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment. #LI-DS1

Emerging Marketplaces Analytics team builds Analytics solutions that drive customer growth across all EMs for Amazon. These solutions include building and scaling complex analytical frameworks, mining data-driven insights through comprehensive dashboards, using ML/AI to address business problems, and leading Analytics for key strategic review meetings with leadership. Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems Simplify and automate reporting, audits and other data-driven activities Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation Learn new technology and techniques to meaningfully support internal stakeholders and process innovation About the team We are the Emerging Prime, Lifecycle and XCM (PLX) EMXO team that builds & orchestrates inputs towards Customer Growth and Engagement for our Stores across ten locales. We do this through: (i) Crafting EM-specific frameworks where none exist to guide inputs, prioritization and investment decisions; (ii) Building foundational tech, tools & capabilities to enable inputs at scale, sharper targeting of key customer cohorts, driving down Cost-To-Serve (CTS) through core builds; and (iii) Orchestrating EM-focused builds by influencing partner WW teams and x-EM experiments across the customer Lifecycle 8+ years of professional or military experience 6+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing and communicating results to senior leadership

Want to join the Earth s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Ops DnA team. In this position you will be responsible for supporting our sites to build solutions for the rapidly expanding GO-AI team. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. We are looking for an entrepreneurial and analytical program manager, who is passionate about their work, understands how to manage service levels across multiple skills/programs, and who is willing to move fast and experiment often. Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. Building and owning small to mid-size BI solutions with high accuracy and on time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions. Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically. Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either take ownership for their resolution or ensure a clear hand-off to the right owner. About the team The Global Operations Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs and other new initiatives in partnership with global technology and operations teams. 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Dear Candidate, We are looking for a skilled Data Engineer to design and maintain data pipelines, ensuring efficient data processing and storage. If you have expertise in ETL, SQL, and cloud-based data platforms, wed love to hear from you! Key Responsibilities: Design, develop, and maintain scalable data pipelines. Optimize data workflows for performance and efficiency. Work with structured and unstructured data sources. Implement data governance and security best practices. Collaborate with data scientists and analysts to support data-driven decisions. Ensure compliance with data privacy regulations (GDPR, CCPA). Required Skills & Qualifications: Proficiency in SQL, Python, or Scala for data processing. Experience with ETL tools (Informatica, Apache NiFi, AWS Glue). Hands-on experience with cloud data platforms (AWS, Azure, GCP). Knowledge of data warehousing (Snowflake, Redshift, BigQuery). Familiarity with Apache Spark, Kafka, or Hadoop for big data processing. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and in a team. Good communication skills to collaborate with stakeholders. Note: If interested, please share your updated resume and your preferred contact details. If shortlisted, our HR team will reach out to you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Lead the solutioning and delivery of asset management and reliability consulting engagements, frequently interacting with CXO-level executives. End to end solution design, product selection, blue printing of integrated asset management solutions catering to manufacturing, oil & gas, mining and metals, utilities and other asset intensive industries. Shape and drive the client's vision and transformation roadmap to tackle challenges in asset management and reliability using cutting-edge digital technologies such as IIOT, Analytics, AR/VR/XR, and Mobility. Demonstrate knowledge of leading industry practices in asset management, asset lifecycle, reliability, asset performance management, planning andscheduling, work control, and turnaround management. Stay abreast of the latest advancements in asset management technologies and industry best practices. Manage transformation projects in EAM/APM/AIM areas, conduct asset management maturity assessments, identify improvement areas, define baselines and target architectures, develop, day-in-life scenarios, and create roadmaps to achieve desired maturity levels in strategy, processes, technology, and governance. Your Profile Should have hands-on working experience on two or more EAM/RCM/APM COTS solutions like Hexagon EAM/IBM Maximo/GE APM (Meridium)/SAPEAM/AIN/ASPM/PDMS/Aveva/ Bently(Ivara)/NRX Asset Hub (Head hub)/Evision etc. Facilitate strategic and operational leadership through application of extensive business, customer and digital experience. Should have experience in RFI/RFP response preparation, solutioning, and estimations within the asset management business domain. Exceptional communication and interpersonal abilities. Strong analytical and problem-solving abilities, particularly in consulting and solution design. Proven leadership and stakeholder management capabilities. Proficient in team management, analysis, and delivering presentation What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.