7896 Mathematics Jobs - Page 47

#BAL Required Abilities Written Comprehension — The ability to read and understand information and ideas presented in writing. Problem Sensitivity — The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem. Oral Comprehension — The ability to listen to and understand information and ideas presented through spoken words and sentences. Oral Expression — The ability to communicate information and ideas in speaking so others will understand. Required Work Experience : Business Planning Manager Degree : Bachelor of Business Studies - BBS | Bachelor of Arts - BA | Bachelor of Business Administration - BBA Required Knowledge Administration and Management — Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources. Mathematics — Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications. Production and Processing — Knowledge of raw materials, production processes, quality control, costs, and other techniques for maximizing the effective manufacture and distribution of goods. English Language — Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar. Required Skills : Business Planning, Business Operation, Strategic Planning, Planning Process, Implementation Planning Primary Responsibility Planned special events. Provided feedback to the Home Office. Identified market opportunities and solutions. Planned and supervised all merchandising, selling and sales promotional activities. Show more Show less

Company Description At AvyaktiTech – Where Tech Meets Talent , we are dedicated to bridging the gap between academic learning and industry demands. Our institute offers specialized training programs in IT, electronics, and emerging technologies, empowering students, professionals, and entrepreneurs with real-world skills. With a focus on quality education, hands-on experience, and career readiness, we aim to build the next generation of skilled talent for the digital future. Role Description This is a full-time on-site role located in Bhubaneswar for a Data Analytics Trainer. The Data Analytics Trainer will be responsible for designing and delivering training programs on data analytics, conducting workshops, and providing mentorship to aspiring data analysts. The role involves developing curriculum, creating educational materials, and assessing the progress of trainees. Qualifications Data Analytics, Data Visualization, and Data Interpretation skills Experience in designing training programs and conducting workshops Strong communication and presentation skills Knowledge of statistical analysis and programming languages such as Python or R Ability to work collaboratively with diverse groups of individuals Experience in the tech industry or data analytics field Bachelor's or Master's degree in Data Analytics, Computer Science, Mathematics, or related field Show more Show less

Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to help drive strategic business decisions. Key Responsibilities: Collect, clean, and validate data from various sources to ensure accuracy and completeness. Analyze large datasets to identify trends, patterns, and insights. Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel. Collaborate with cross-functional teams to understand business requirements and deliver actionable insights. Create data models and conduct predictive analysis as needed. Present findings in a clear and concise manner to stakeholders and management. Monitor performance metrics and suggest improvements based on data insights. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. Proven experience as a Data Analyst or similar role. Strong knowledge of SQL and experience with databases. Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker). Advanced Excel skills (including pivot tables, VLOOKUP, etc.). Experience with statistical analysis and tools such as Python, R, or SAS is a plus. Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Preferred Qualifications: Experience working with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of ETL processes and data warehousing concepts. Familiarity with machine learning or predictive modeling is a plus. Show more Show less

Role: Data Scientist Location: Noida (Hybrid) Required skills and qualifications Bachelor's/Master's/Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or a related field 5+ years prior experience in a data science role or related field is preferred Proficiency in programming languages such as Python or R for data analysis and modeling Proficiency with data mining, mathematics, and statistical analysis using Python and R Strong understanding of machine learning techniques, algorithms, and their applications Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus Great problem-solving skills and the ability to translate business questions into data science tasks Responsibilities Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Collaborate with domain experts, engineers, and stakeholders to understand business requirements and translate them into analytical solutions Communicate complex findings and insights to both technical and non-technical audiences through clear visualizations, presentations, and reports Clean, preprocess, and transform data to ensure its quality and suitability for analysis Perform data and error analysis to improve models using Python and R Conduct exploratory data analysis to identify patterns, trends, and anomalies, and translate them into actionable recommendations with clear objectives in mind Continuously evaluate model performance and make improvements based on real-world outcomes Various classical Statistical techniques such as Regression, Multivariate Analysis etc . Time Series based forecasting modeling Experience with SQL and data warehousing (e.g. GCP/Hadoop/Teradata/Oracle/DB2) Experience using tools in BI, ETL, Reporting /Visualization/Dashboards Programming experience in languages like Python strongly desired Exposure to Bigdata based analytical solutions and hands-on experience with data lakes/ data cleansing/ data management. Ability to get Insights from Data, provide visualization, and data storytelling . Show more Show less

Job Description Key Responsibilities: Liaising with senior leadership and local project teams to establish project delivery requirements Managing multiple client projects and their timelines to meet both internal and client’s deadlines Building and maintaining MS Excel databases from source data Analysing client data using quantitative and qualitative methods to evaluate key performance indicators Pressure testing data and identifying areas for investigation and training Collaborating with Project leaders and local teams to interpret data and formulate action plans and recommendations for clients Produce high quality presentations and other deliverables for clients using powerpoint Supporting members in the analysis team to meet client deadlines and drive development and efficiencies within the team both locally and on international projects. Key Requirements: The ideal candidate must have an Economics or Science based degree in subjects with numerical emphasis (such as Chemistry, Physics, Mathematics, Engineering etc.) A few years of experience in a similar analysis job within the Pharmaceutical industry is preferable Strong communication and project management skills to handle multiple projects with different stakeholders Advanced Level experience in using Excel and Powerpoint Proactive individual with drive and ambition, a strong work ethic to grow in a dynamic environment with good opportunities to help develop and further the business as a whole. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others. Show more Show less

Job Title : PRT Mathematics About the Institution DPS Bathinda is a premier co-educational school affiliated to the Central Board of Secondary Education. Established in 2003, Delhi Public School Bathinda is a leading school in the city of Bathinda, offering excellent education in a splendid campus, spread over 13 acres. Life in Delhi Public School centers on a shared commitment to academic excellence, intellectual growth, arts, athletics, high standards of ethical awareness, sportsmanship, and community service. Job Summary: We are seeking a dedicated PRT Teacher to join our team who can teach all the subjects to classes uptil class 2. help to create a fun environment and incorporate educational programs that assist in our children’s development. The candidate will be responsible for monitoring and teaching the students, developing a curriculum that the children will respond to positively and partnering with our team to enhance the learning environment at our school. Responsibilities Develop and maintain a constructive and ongoing rapport with children and parents Create activities that are fun and educational for the children Manage day-to-day classroom activities, including structured lessons, free play, toilet breaks, lunch time and rest time for students Help children develop their social skills, communication, and speech. Use art, music, storytelling, and play to help children express themselves and develop problem-solving skills. Ensure children are in a safe, clean and healthy environment Assess students’ progress through and share the feedback with Parents. Promote positive behavior from children and to assist in establishing good standards of behavior Attending school meetings and any teacher training workshops Required Qualifications Educational : BA, B.Ed · Strong knowledge of On Track Programme Caring and nurturing attitude towards children Excellent verbal and written communication skills Work Experience : 3+ years’ experience working with children in a classroom setting in a reputed school Personal Traits Required · Professional, Proactive and Self-initiator. · Excellent interpersonal skills. · Keen to strive for career excellence. · Expressive with good communication skills. Selection Process: · Personal Interview · Subject Demonstration Job Type: Full-time Benefits: Provident Fund Schedule: Day shift Ability to commute/relocate: Bathinda, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Location: Bathinda, Punjab (Required) Work Location: In person

What you will enjoy doing • You will develop, train, test and deploy machine learning models in various fields such as computer vision, LLMs, tabular and time series data. • Experimenting with novel deep learning based technologies such as self-supervised learning and generative AI will also be part of your tasks • You will support in setting up the MLOps infrastructure for existing and new AI products • Additionally you will work directly with customer data and set up data pipelines to collect, curate, transform and version data You'll be working in the Artificial Intelligence team, AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Global AI team. As a Machine Learning Enginee, you will be working closely with our global AI team to create and implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations. You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision. What Makes You Great • You have a Bachelor or Masters Degree in Data Science, Computational Statistics/Mathematics, Computer Science or related field • You know the basics of neural networks and have an initial practical experience with deep learning frameworks like PyTorch and Tensorflow. • You have experience in backend and API development with Python (FastAPI, Flask) or similar • You demonstrate knowledge of and basic practical experience with Object Oriented Programming, design patterns, algorithms and data structures, version control systems (e.g. Git) • Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus • Fluent English Show more Show less

Papaya Global is a rapidly growing, award-winning B2B tech unicorn with a mission to revolutionize the payroll and payments industry. With over $400M raised from top-tier investors, our innovative technology provides a comprehensive solution for managing global workforces, from hiring and onboarding to managing and paying employees in over 160 countries. We’re looking for a driven, high-energy, experienced, hands-on Payroll Journal Entry Controller to join our Finance team. The successful candidate will be customer service-focused and able to work well with internal and external customers at all levels. You will: Gather Journal Entry (JE) business requirements for new customers Write JE business requirements and work with our developers to automate reports Process ongoing JE reports for existing customers Reconcile processed work by verifying data and comparing against payroll summary reports Investigate and respond to customer JE inquiries Work with product architects and designers to build scalable solutions via system flow and automation Requirements: Bachelor’s degree in Business, Finance, Economics, Mathematics or Bookkeeping 3 – 5 years of accounting/ banking/ bookkeeping/ analysis work experience Fluent in English Advanced skills with Microsoft Office suite Strong customer service & communication skills Ability to work under pressure and tight deadlines Detail Oriented Team player Show more Show less

At Swarovski, where innovation meets inspiration, our people desire to explore, experience and create. We are looking for a Tableau Developer where you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand, learn and grow with us. We’re bold and inventive, revealing astonishing things like no one else can. A world of wonder awaits you. About The Job Collecting detailed requirements for new standard reports and dashboards in accordance with the data governance policies and standards Monitor, support, maintain and improve Tableau reports Providing technical support to end-users on BI tools (SAP Business Objects, Tableau) and processes Ensuring data accuracy and consistency by identifying and correcting errors Enable self-service data discovery for ad-hoc analysis by providing users with the tools and resources they need to access and explore the data and helping them to interpret the emerging insights Responding to specific data requests and providing quick insights Sharing best practices and tips for data analysis and reporting, including the process for identifying new requirements, developing new features, and retiring old products About You We are looking for a unique and amazing talent, who brings along the following: University degree/ Education, preferably in Mathematics, Computer Science, information management or similar Minimum 5 years of professional experience in a similar role 3+ years experience with data visualization in SAP Business Objects Excellent analytical and problem-solving skills Excellent communication proficiency and interpersonal skills Experience in SQL(for standard queries and views) , Tableau About Swarovski Masters of Light Since 1895 Swarovski creates beautiful crystals-based products of impeccable quality and craftsmanship that bring joy and celebrate individuality. Founded in 1895 in Austria, the company designs, manufactures and sells the world's finest crystals, gemstones, Swarovski Created Diamonds and zirconia, jewelry, and accessories, as well as objects and home accessories. Swarovski Crystal Business has a global reach with approximately 2,400 stores and 6,700 points of sales in over 150 countries and employs more than 18,000 people. Together with its sister companies Swarovski Optik (optical devices) and Tyrolit (abrasives), Swarovski Crystal Business forms the Swarovski Group. A responsible relationship with people and the planet is part of Swarovski’s heritage. Today this legacy is rooted in sustainability measures across the value chain, with an emphasis on circular innovation, championing diversity, inclusion and self-expression, and in the philanthropic work of the Swarovski Foundation, which supports charitable organizations bringing positive environmental and social impact. Show more Show less

Compelling Opportunity for ML Engineer with Innovative Entity in Insurance Industry Employment | Immediate Location: Hyderabad, India Reporting Manager: Head of Analytics Work Pattern: Full Time, 5 days in the office Minimum Experience as a ML Engineer : 3 to 5 years Position Overview: The Innovative Entity in Insurance Industry is seeking an experienced Machine Learning Engineer with 3 to 5 years of hands-on experience in designing, developing, and deploying machine learning models and systems. The ideal candidate will work closely with data scientists, software engineers, and product teams to create solutions that drive business value. You will be responsible for building scalable and efficient machine learning pipelines, optimizing model performance, and integrating models into production environments. Key Responsibilities: · Model Development & Training: Develop and train machine learning models, including supervised, unsupervised, and deep learning algorithms, to solve business problems. · Data Preparation: Collaborate with data engineers to clean, preprocess, and transform raw data into usable formats for model training and evaluation. · Model Deployment & Monitoring: Deploy machine learning models into production environments, ensuring seamless integration with existing systems and monitoring model performance. · Feature Engineering: Create and test new features to improve model performance, and optimize feature selection to reduce model complexity. · Algorithm Optimization: Research and implement state-of-the-art algorithms to improve model accuracy, efficiency, and scalability. · Collaborative Development: Work closely with data scientists, engineers, and other stakeholders to understand business requirements, develop ML models, and integrate them into products and services. · Model Evaluation: Conduct model evaluation using statistical tests, cross-validation, and A/B testing to ensure reliability and generalizability. · Documentation & Reporting: Maintain thorough documentation of processes, models, and systems. Provide insights and recommendations based on model results to stakeholders. · Code Reviews & Best Practices: Participate in peer code reviews, and ensure adherence to coding best practices, including version control (Git), testing, and continuous integration. · Stay Updated on Industry Trends: Keep abreast of new techniques and advancements in the field of machine learning, and suggest improvements for internal processes and models. Required Skills & Qualifications · Education : Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · Experience: 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Programming Languages: Proficiency in Python (preferred), R, or Java. Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Data Manipulation: Strong knowledge of SQL and experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Cloud Services: Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform. · Model Deployment: Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines. · Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to understand complex data problems and implement effective solutions. · Mathematics and Statistics: A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Communication Skills: Strong verbal and written communication skills to collaborate effectively with cross-functional teams and stakeholders. Preferred Qualifications: · Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). · Exposure to natural language processing (NLP), computer vision, or recommendation systems. · Familiarity with version control systems (e.g., Git) and collaborative workflows. · Experience with model interpretability and fairness techniques. · Familiarity with big data tools (e.g., Hadoop, Spark, Kafka). Screening Criteria · Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Proficiency in Python · Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Strong knowledge of SQL · Experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform · Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines · A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Available to work from office in Hyderabad · Available to join within 30 days Considerations · Location – Hyderabad · Working from office · 5 day working Evaluation Process Round 1 – HR Round Round 2 & 3 – Technical Round Round 4 – Discussion with CEO Interested Profiles, Kindly Apply Note o Additional inputs to be gathered from the candidate to put together the application Show more Show less

📊 Data Analyst Intern – Remote Type: Internship (3 to 6 Months) Mode: Remote Stipend: Unpaid 🔍 About the Role We’re looking for a motivated and analytical Data Analyst Intern to join our growing team. This internship is ideal for students or recent graduates who want to gain real-world experience in data analytics, reporting, and business intelligence. You will support our data team in transforming raw information into valuable insights that help drive key business decisions. 🧠 What You’ll Do Analyze datasets to identify trends, patterns, and actionable insights Build visual reports using tools like Power BI, Excel, or Tableau Write SQL queries and basic scripts (Python or R) to clean and process data Assist in maintaining dashboards and creating ad hoc reports Document processes, findings, and recommendations clearly ✅ Requirements Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Mathematics, or related fields Strong proficiency with Excel and Google Sheets Familiarity with at least one data language/tool (e.g., SQL, Python, or R) Analytical mindset and problem-solving skills Ability to work independently and meet deadlines 🌟 Nice to Have (Optional) Prior experience with data projects or internships Knowledge of predictive modeling or data scraping Familiarity with Looker Studio or similar BI tools 🎁 What You’ll Gain Practical experience with real projects and data tools Mentorship from experienced data professionals Access to training materials and learning resources Internship certificate and letter of recommendation Opportunity for a full-time offer based on performance ⚖ Equal Opportunity Employer We are committed to building an inclusive environment for all interns and employees. Discrimination of any kind has no place in our culture—we welcome talent from all backgrounds. 📬 How to Apply Send your resume and a short cover letter to hr@corelinesolutions.site Subject line: Application for Data Analyst Intern – [Your Full Name] 💡 Tip: Ensure your LinkedIn profile is updated. Follow our page to stay informed about future opportunities. Show more Show less

About the Delta Technology Hub (DTH), Bangalore Delta has fast emerged as a customer-focused, innovation-led, technology-enabled business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a distributed team to create memorable experiences for customers. “Why join?”: Technology is a key enabler of the differentiated services that Delta provides. At the DTH, you get the opportunity to work on projects with a significant impact on business outcomes and customer experience. Deepen your knowledge by taking part in multifaceted learning and development programs –exposure to extensive internal and partner repositories, institutional affiliations, and industry SIG (Special Interest Groups) partnerships. Collaborate with research, innovation and IP co-development partners. Immerse yourself in an employee-centric culture. Develop deep and broad business acumen on airline operations while retaining focus on cutting-edge technology driven solutions. Avail a full range of benefits that support you and your family: Insurance, Commute, Meals and Special Travel opportunities. Role Description: The Customer Experience Design (CXD) organization is founded on delivering the Delta Brand experience via welcoming, elevating, and caring service, offering distinctive and premium choices to our customers across all destinations, and personalizing the experience to create memorable connections and deepened relationship with Delta. The Inflight Entertainment and Connectivity (IFEC) team within CXD is on a mission to create a highly personalized and engaging digital onboard environment that drives higher NPS and Delta revenue through two core products: fast, free Delta Sync Wi-Fi and Delta Sync seatback, our personalized seatback screen experience. This candidate will be part of a high-performing, fast-paced team that delivers actionable insights, analytics, and performance reporting. In this role, you will be responsible for data visualization, optimization, and advanced analytics. The Sr Data Analyst is responsible for delivering high quality integrated data assets that support the creation of analytical models and visualizations and deriving insights that drive personalization and optimization opportunities. This individual will help the team understand how our customers are engaging with onboard digital platforms to continually improve customer engagement levels. The role will require top-notch technical skills, strong analytics exposure, and understanding of Delta’s customer journey to help drive decisions throughout the organization. Responsibilities: Gather and transform large sets of raw data into well-built integrated data assets using SQL, SAS, AWS Glue or other emerging technologies Write, validate and performance-tune complex SQL queries Recommend, build, and monitor robust and extensible data models that capture the business performance from a customer experience lens Support data quality testing along critical check points to surface data anomalies Be the expert in critical IFEC data assets and support data documentation Develop visualizations in Power BI and occasionally support data science teams with exploratory data analysis and KPI development Support the IFEC Analytics, Performance, & Tech team members with best practices on SQL, AWS, Power BI and other systems Minimum Qualifications Bachelor’s degree in computer science, data science, engineering, mathematics, or statistics 3-6 years of relevant work experience Expert in SQL, strong experience in Python. Proficient with Power BI and advanced data visualization High attention to detail, solution-oriented and capable of meeting or exceeding deadlines in a fast-paced environment Embraces diverse people, thinking, and styles Consistently makes safety and security, of self and others, the priority Preferred Qualifications Working knowledge of statistical/machine learning tools (e.g., R, scikit-learn) Prior experience with Delta or other airline or Hospitality data a plus Self-motivated and take pride in building great products for key stakeholders Resourceful in finding the data and tools you need to get the job done Not afraid to ask for help when you need it or help teammates when they need a boost Data processing tools such as Glue (or SAS) Show more Show less

Hi we are looking for Business Analyst , the selected candidate will be hired for our client (Amazon) but will be on our payroll. Location - Rajajinagar, Bangalore Duration - 6months contract Salary - Upto 6LPA Experience - 2years KEY JOB RESPONSIBILITIES This person will own the production and delivery of suite of analytics reports and dashboards used by the team to make key business decisions. This will involve: 1. Build the data structure, transformation processes, load jobs in Redshift and data processing and presentation in Excel 2. Debugging report issues and unblocking workflows 3. Communicating with the Product team and customers to provide status updates. 4. Publishing detailed automated dashboards 5. Creating the report requires extracting & transforming data from tables and loading it into tables with an optimized data structure BASIC QUALIFICATIONS - Bachelor's degree in mathematics, engineering, statistics, computer science or a related field - 1+ years of business analysis (dealing with large complex data) experience - Demonstrated ability with Data-warehousing, database administrator roles, database migration - Strong experience in dash-boarding using Tableue/PowerBI/Excel/PowerPivots - Strong communication skill and team player - Demonstrated ability to manage and prioritize workload PREFERRED QUALIFICATIONS - Knowledge of scripting for automation (e.g., VB Script, Python, Perl, Ruby) is a plus Show more Show less

Your Future Evolves Here Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference working in everything from scrubs to jeans. Are we growing? Absolutely and Globally. In 2021 we grew our teams by almost 50% and continue to grow even more in 2022. Are we recognized as a company you are supported by for your career and growth, and a great place to work? Definitely. Evolent Health International (Pune, India) has been certified as “Great Places to Work” in 2021. In 2020 and 2021 Evolent in the U.S. was both named Best Company for Women to Advance list by Parity.org and earned a perfect score on the Human Rights Campaign (HRC) Foundation’s Corporate Equality Index (CEI). This index is the nation's foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it. What You’ll Be Doing: Job Description Evolent Health is looking for a Provider Data Specialist to be a key member of the PDM Operations team. Reporting to the Supervisor of Provider Data Management, this individual will play a critical role in executing Evolent Health’s mission by working directly with our partners, focused on coordinating, monitoring, trending and supporting report requirements of business operational and clinical programs within Provider Network Management. This Provider Data Analyst will work with both internal and external business partners to implement ongoing operational monitoring, resolve service barriers, develop solutions to improve effectiveness and identify continuous improvement initiatives to increase service levels. Essential Functions Serve as a liaison between the internal team members and partner organization providing support for provider data enrollment activities; acts as liaison with technology team and business product team members. Defines analysis methodology and provides analytic support. Analyzes existing systems to recommend enhancements and creates new systems to reduce manual processes and maximize the business efficiencies. Analyzes data from conceptualization through presentation and requires proficiency with analytical tools, knowledge of data analysis methodology, use of presentation software, and strong communication skills. Identifies, evaluates, and implements new data-driven strategies and processes for the department Develops tools and reports that lend valuable insights that capitalize on a combination of internal and external data. Recommends enhancements to existing systems in accordance to business needs by creating ad hoc and standard reports as well as information delivery technologies. Prepare reports in an accurate, concise and timely fashion. Performs data collection, analysis, reporting. Provide guidance and support to all claims and operations personnel towards resolution of provider data and claims problems with an emphasis on root cause analysis and resolution of problems Compile, review and analyze management reports and take appropriate action Identify and advise Claims, Provider Network Management, Medicare Operations and other operational areas of trends, problems, and issues as well as recommended course of action; ensure timely communication; participate in the development and implementation of solutions Monitor adherence to the efficiency and service level goals including volume, processing, timeliness, accuracy and other metrics. Compose, submit and track claim system questions and configuration requests to correct identified systemic issues Prioritize issues identified by TPA/BPO, internal team members and/or partner representatives and monitors progress in the resolution of the issues Develop deep understanding of processing capabilities and limitations of claims and benefits with TPA/BPO systems, tools and resources; provide recommendations to meet plan requirements Confirm that all provider data elements have been set up within the claims payment system and are aligned with the requirements as specified by the plan materials. Create and report operational tracking metrics and dashboards for monitoring claims, provider disputes and benefits performance. Coordinate corrective action plans with partner/client and TPA/BPO operations services administrator to resolve issues. Support internal plan team members with the resolution of daily issues. Work with other departments to identify and resolve problems leading to incorrect provider data and issues regarding payment of claims. Serve on various committees and attends required meetings. Perform other duties and projects as assigned Key competencies/skill/success factors: Experience working within a health plan, managed care organization, provider operated healthcare environment or third party administrator Good Knowledge on Python, SQL Server- SSMS, SSRS. Extensive knowledge of PCs and related software applications, such as Word, PowerPoint, Excel, Project Demonstrated exceptional active listening and communications skills Experience in systems and languages related to database lifecycle management such as MS Access, Visual Basic, etc Qualification and Experience: Required Associates Degree or equivalent 2-4 years of experience in collecting, analyzing, and presenting data and recommendations to management Big plus Bachelor’s degree in Computer Science, Statistics, Mathematics or related field 1-3 years data analysis and business intelligence experience working with BI suites such as Power BI, SSRS or other enterprise class tools Mandatory Requirements: Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business. Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status . Show more Show less

About the Company Over the last twenty years, 32nd has delivered 2.4 million square-feet of award-winning commercial, co-working, hospitality and retail space across India. Through decades of working with the world's leading brands, artists and restaurateurs, 32nd has become a pioneering Lifestyle Real- Estate company that blends together the most sought after locations, with visionary architecture and design, industry-defining standards in operations and management, and strong, collaborative partnerships. Find out more on: 32nd.com About the Role We are on a lookout for a Data Analyst with 3+ years of experience to join our team. This opportunity will provide hands-on experience in analyzing and interpreting data to drive business decisions. You will work closely with the team to extract insights from various datasets and assist in the development of data-driven solutions. What You Will Be Doing Clean, preprocess, and analyze large datasets to identify trends, patterns, and correlations Assist in the development and implementation of data models and algorithms Create visualizations and dashboards to present findings to stakeholders Collaborate with cross-functional teams to gather requirements and understand business needs Support ad hoc analysis and reporting requests from various departments Contribute to ongoing projects and initiatives to improve data quality and efficiency What You Bring To The Table Exceptional Python and SQL skills Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib A degree in Computer Science, Statistics, Mathematics, Economics, or related field Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders What Really Wows Us Understanding and keenness to learn new things Creative approach to solve real-time problems instead of relying on a process that was laid out a while back Entrepreneurial DNA and a high-ownership approach towards challenges The Fine Print 32nd is committed to equal employment opportunities regardless of race, colour, national origin, gender, sexual orientation, age, religion, and veteran status. We embrace diversity as a strength, and our hiring and promotion decisions are based solely on qualifications and merit. We are proud to be an equal opportunity employer, dedicated to building a more equitable and inclusive future for all. Show more Show less

Job Description: Assistant Vice President (AVP) / Senior Assistant Vice President (SAVP) - Life & Annuities (L&A) – Insurance Analytics & SGU Vertical Location: Gurgaon, India -Hybrid Notice: 35-40 days’ notice max Reports To: Vice President, Insurance Analytics & SGU Vertical Experience: 12 + years of experience in a data analytics or insurance analytics role, with at least 5 years of leadership experience in Life & Annuities or related domains. Proven expertise in managing large teams and delivering high-quality analytics solutions to business clients. In-depth knowledge of data analytics methodologies, tools and technologies, including predictive modelling, statistical analysis and data visualization. Strong experience in client and stakeholder management, with an ability to influence and collaborate at senior levels. Knowledge of the Life & Annuities insurance domain, including product offerings, risk management, claims analysis and customer insights. Leadership and Team Management: Lead, mentor, and develop a team of 20-25 data analysts and data scientists focused on Life & Annuities (L&A) within the insurance sector. Client and Stakeholder Management- Act as the primary point of contact for internal stakeholders, senior leadership, and clients. Develop and maintain strong relationships with key business partners, clients, and external vendors. Strategic Analytics Leadership: Drive the data analytics strategy for the Life & Annuities sector, ensuring alignment with business goals. Provide thought leadership and in-depth knowledge of industry trends, data analytics tools, and methodologies relevant to Life & Annuities. Data Analytics Oversight: Utilize advanced data analytics techniques to drive actionable insights that influence business strategy and decision-making Education: Bachelor's or master’s degree in business, Statistics, Mathematics, Data Science, Economics, or a related field. Show more Show less

Key Duties Deliver engaging lectures in core mathematical areas, especially related to data science and computational methods. Design and update course syllabi in line with current academic and industry trends. Supervise final year projects and graduate-level theses. Conduct research in applied mathematics and allied interdisciplinary fields. Collaborate with faculty from engineering, computer science, and analytics departments. Guide students on academic, research, and career matters. Assist in organizing workshops, seminars, and symposia. Contribute to curriculum development and accreditation processes. Participate in academic committees and institutional governance. Essential Qualifications Ph.D. in Mathematics, Computational Mathematics, Statistics, or a related area. Minimum of 2 years of teaching or research experience at the university level. Strong academic and publication record in high-impact journals. Proven expertise in teaching advanced mathematics and computational applications. Show more Show less

Company Description CHRP-INDIA PVT. LTD. is a leading provider of innovative learning technology based in Hyderabad. Since 2008, we have been specializing in bespoke eLearning, AR, VR, and MR simulations for industrial applications, serving Fortune 500 companies globally. Our services include AR/VR/MR Simulations, custom eLearning development, 2D/3D animations, video production, and more. Role Description This is a full-time on-site role for a Virtual Reality Developer located in Hyderabad. The Virtual Reality Developer will be responsible for developing immersive experiences through VR simulations, software development, and creating cutting-edge XR labs for innovative training. Key Responsibilities: · Design and develop customized AR/VR applications tailored for enterprise and industrial use cases. · Collaborate with UI/UX designers, 3D artists, and stakeholders to create immersive experiences that align with user needs and business objectives. · Test and debug AR/VR applications to ensure stability and functionality across various devices and platforms. · Stay updated with the latest tools, technologies, and best practices in AR/VR development to continuously enhance application competitiveness. · Integrate AR/VR solutions with existing systems and workflows, ensuring compatibility and functionality across multiple platforms and devices. · Conduct thorough testing using AR emulators and testing tools to simulate real-world conditions, identifying and resolving bugs and performance issues promptly. · Design intuitive and engaging user interfaces for AR/VR applications, incorporating user feedback to enhance the user experience continually. · Engage in continuous learning to experiment with new tools and techniques, pushing the boundaries of AR/VR development. Required Technical Skills: Development Engines: Unity, Unreal Engine Programming Languages : C#, JavaScript, Java 3D Mathematics : Vector math, transformations, quaternions AR SDKs and APIs : ARKit, ARCore, Vuforia, Mixed Reality Toolkit (MRTK), HoloLens SDK, Wikitude VR SDKs and APIs : Oculus SDK, HTC Vive, XR Toolkit Databases : SQL, PLSQL, Oracle Forms, RDF Reports, ORDS Services Cloud Services : AWS Rekognition, Azure, Google Cloud Vision Platforms : Android, iOS, Windows, Web (HTML5) AR/VR Devices: Meta Quest, HTC Vive, Pico, Microsoft HoloLens, Apple Vision Pro, Vuzix Blade, Magic Leap, Nreal, Realwear Desired Experience: · Minimum of 4 years in AR/VR development. · Proven track record with at least 10 AR-based enterprise/industrial projects. · Experience in various AR projects, including marker-based tracking, location-based AR with GPS, surface tracking (SLAM), spatial tracking, object tracking, face tracking, body tracking, and open space mapping. · Proficiency in object detection and tracking algorithms essential for real-time AR applications. · Familiarity with machine learning models for object recognition, gesture recognition, or image classification in AR applications. · Experience in designing for natural input methods like hand gestures and voice commands. · Skills in designing spatial layouts that enhance user interaction with virtual objects in real-world environments. · Ability to implement and integrate AR/VR solutions with existing systems and workflows. · Experience with APIs and SDKs specific to various AR/VR devices. · Conducting thorough testing of AR/VR applications using emulators and testing tools to simulate real-world conditions. · Designing intuitive and immersive user interfaces for AR/VR applications, incorporating user feedback to enhance the user experience. · Commitment to continuous learning, developing, and testing the latest AR/VR technologies, trends, use cases, and best practices. Show more Show less

Role: Operations Consultant Who We Are: Streamliners is a management consulting firm specialized in rapid efficiency improvements, operational excellence, and fast turnaround. We help manufacturers and private equity owned portfolio companies in North America and Europe solve complex operational challenges to maximize profit margins and gain competitive advantage. At our core, we are doers. We work closely with clients in various industries to execute the steps required to achieve performance improvements. Who You Are: A experienced and self-directed problem solver. A change management champion. You not only work well with others, but also can operate autonomously with little direction. You go the extra mile, and your entrepreneurial drive and intellectual curiosity have helped you garner a track-record of achievement. You should feel second nature conducting & leading the following analysis: Process Capacity & Utilization Modeling Bottleneck Analysis Waste Reduction Warehouse Restructuring KPI Creation Root Cause Analysis Workforce Analysis The Role: You will work alongside other consultants and clients, typically on site, to deliver transformation objectives. You will have ownership of workstreams and be responsible for executing effective improvement plans within operations, ranging from shop floor improvements to fundamental changes in work processes and information and material flows. You’ll also serve clients in a project manager capacity for turnarounds, transformations, and expansions. Duties / Responsibilities: Serve as project leader for project workstreams, transformations, and turnarounds Problem-solve technical manufacturing issues using structured methodologies Use facts and data to prioritize improvement opportunities You will adopt a process-oriented approach to solving problems and will break a large complex problem into a series of smaller, more manageable modules. Drive change and improvements to the overall execution of client operations Transform manufacturing processes for better productivity and efficiency Conduct due diligence, benchmarking, best practice, and other assessment studies Recommend actions and help clients implement them Manage and deliver the highest quality client work Qualifications: 4+ years of experience in a high-performance manufacturing environment 3+ years leadership and management experience Bachelor’s degree (Master’s preferred) in STEM (Science, Technology, Engineering and Mathematics), Operations, or Business Strong functional knowledge in one or more of the following: discrete manufacturing, project management, process automation, continuous improvement Ability to work effectively and collaboratively with people at all levels in an organization Strong communication and organizational skills Willingness to travel to US and Europe 2 or 3 months in year Preferred: Background in Lean Six Sigma (Black Belt is a plus) and methodologies including but not limited to Kaizen methods, JIT, Kanban, SMED, 5S, Poka Yoke, Visual Workplace, and VSM Experience in management consulting, large-scale change management, or turnaround and restructurings Direct operating experience with P&L accountability International work experience Please send your updated resume to mrudula.arumilli@streamliners.us only if you have experience working with consulting firms Show more Show less

💰 We do not require teacher to pay any charges prior to or following employment 🏢 Company Name :- Iwish Academy 🎯 Job Description :- Facultyzone is hiring: K–10 Maths Auditor Join Iwish Academy – Where Excellence Meets Passion. We are seeking a meticulous and experienced Maths Auditor well-versed in the Australian curriculum. The selected candidate will be responsible for reviewing and ensuring the quality, accuracy and effectiveness of K–10 mathematics content, teaching materials and assessment standards. This role plays a critical part in upholding academic excellence in a future-focused, fully online education environment. 🌐 Location :- Remote 📣 Job Opportunity :- Full-time Online Teaching Position 💼 Position:- Auditor Mathematics 🎓 Academic Level :- Grade K-10 (Australian Students) 🕰️ Working Hours :- 12 PM to 9 PM 💰 Salary :- Upto 5 LPA 🔄 Experience :- 2 years (Minimum 6 months of online teaching experience) 📱💻 Requirements :- Smartphone, Laptop, Pen Tablet and reliable Internet connection. 💡 Effective English communication skill is mandatory. 👉 Apply Now:- https://forms.gle/H3X8oKrUVD63viuy9 ☎️ Contact :- 8709400170 Show more Show less

Company : Kidvento Education and Research Position: Content Developer - Math Location: Mysore To apply: hr@ ulipsu.com Experience: 2+ Years We are seeking a highly skilled and creative Mathematics Content Developer to join our dynamic team. As a Mathematics Content Developer, you will play a crucial role in developing engaging and effective Mathematics content for the K10 segment. Your expertise in mathematics and curriculum development will be instrumental in creating high-quality educational materials that inspire students and promote skill development in mathematical concepts. Responsibilities: Develop and design comprehensive Mathematics content, including lesson plans, worksheets, assessments, projects and instructional materials, so as to develop Mathematics skills amongst the students and deliver learning outcomes. Collaborate with a team of educators, curriculum specialists, and graphic designers, Media developers to create engaging and interactive Mathematics content that meets the needs of diverse learners. Conduct extensive research to ensure accuracy, relevance, and effectiveness of the Mathematics content, incorporating best practices and current pedagogical approaches. Review and edit Mathematics content to ensure clarity, coherence, and consistency in concepts, examples, and explanations. Integrate technology tools and resources effectively into Mathematics content, leveraging digital platforms and interactive features to enhance student learning experiences. Stay updated with the latest developments in Mathematics education, instructional technologies, and teaching methodologies to continuously enhance the quality of Mathematics content. Collaborate with cross-functional teams to ensure seamless integration of Mathematics content with other subject areas and interdisciplinary projects. Participate in regular team meetings, contribute to brainstorming sessions, and provide input on the overall content development strategy. Qualifications: Bachelor's degree in Mathematics, Mathematics Education, or a related field. A Master's degree is preferred. Proven experience in developing Mathematics curriculum and instructional materials for the K10 segment. Strong knowledge of K10 Mathematics curriculum standards, educational frameworks, and pedagogical approaches. Excellent mathematical skills and a deep understanding of fundamental Mathematics concepts across different grade levels. Familiarity with educational technology tools, digital resources, and interactive learning platforms for Mathematics instruction. Strong research and analytical skills to gather and analyse data for content development and improvement. Excellent written and verbal communication skills, with the ability to explain complex Mathematics concepts in a clear and concise manner. Creativity and innovation in designing engaging and interactive Mathematics content. Show more Show less

About Us: Traya is an Indian direct-to-consumer hair care brand platform provides a holistic treatment for consumers dealing with hairloss. The Company provides personalized consultations that help determine the root cause of hair fall among individuals, along with a range of hair care products that are curated from a combination of Ayurveda, Allopathy, and Nutrition. Traya's secret lies in the power of diagnosis. Our unique platform diagnoses the patient’s hair & health history, to identify the root cause behind hair fall and delivers customized hair kits to them right at their doorstep. We have a strong adherence system in place via medically-trained hair coaches and proprietary tech, where we guide the customer across their hair growth journey, and help them stay on track. Traya is founded by Saloni Anand, a techie-turned-marketeer and Altaf Saiyed, a Stanford Business School alumnus. Our Vision: Traya was created with a global vision to create awareness around hair loss, de-stigmatise it while empathizing with the customers that it has an emotional and psychological impact. Most importantly, to combine 3 different sciences (Ayurveda, Allopathy and Nutrition) to create the perfect holistic solution for hair loss patients. Responsibilities: Data Analysis and Exploration: Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies. Perform exploratory data analysis (EDA) to understand data distributions, relationships, and quality. Machine Learning and Statistical Modeling: Develop and implement machine learning models (e.g., regression, classification, clustering, time series analysis) to solve business problems. Evaluate and optimize model performance using appropriate metrics and techniques. Apply statistical methods to design and analyze experiments and A/B tests. Implement and maintain models in production environments. Data Engineering and Infrastructure: Collaborate with data engineers to ensure data quality and accessibility. Contribute to the development and maintenance of data pipelines and infrastructure. Work with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop). Communication and Collaboration: Effectively communicate technical findings and recommendations to both technical and non-technical audiences. Collaborate with product managers, engineers, and other stakeholders to define and prioritize projects. Document code, models, and processes for reproducibility and knowledge sharing. Present findings to leadership. Research and Development: Stay up-to-date with the latest advancements in data science and machine learning. Explore and evaluate new tools and techniques to improve data science capabilities. Contribute to internal research projects. Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 3-5 years of experience as a Data Scientist or in a similar role. Leverage SageMaker's features, including SageMaker Studio, Autopilot, Experiments, Pipelines, and Inference, to optimize model development and deployment workflows. Proficiency in Python and relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch). Solid understanding of statistical concepts and machine learning algorithms. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience deploying models to production. Experience with version control (Git) Preferred Qualifications: Experience with specific industry domains (e.g., e-commerce, finance, healthcare). Experience with natural language processing (NLP) or computer vision. Experience with building recommendation engines. Experience with time series forecasting. Show more Show less

Ensure accurate and timely delivery of drawings according to Company s or Client s standards. Performs Modeling with respect to Structural drawing Architectural drawings. Prepares the 3D model in the software as per IFC drawings and Client s requirements. Generates the GA drawings, Shop drawings, Erection drawings with related reports. Checks the Input drawings with latest revision before starting the model. Prepares the RFI's and update in the model as per RFIs reply by Client. Prepares Bill of Material, Title block, Template and Reports as per Client s requirement. Upkeep Engineering filing system and supports Documentation Control. Perform any other duties that may be assigned from time to time. Qualifications Bachelor’s/Diploma degree of civil or mechanical engineering is required - work experience in SDS2 may substitute as an equivalent to a Bachelor’s/Diploma degree 5-10 years of experience in steel detailing with SDS2 is a must Working knowledge of AISC codes, OSHA, AWS, and other standards are a must Strong experience in reading and interpreting structural/architectural design drawings Strong knowledge of steel manufacturing, steel erection and shop fabrication process Ability to read and interpret blueprints, plans, and specifications Basic mathematics including geometry and trigonometry Knowledge of welding specifications Microsoft Office (Word, Outlook, and Excel) and Google Workspace Additional Information Work Location: Bangalore, Karnataka Shift Timings: 1200 to 2100 Hours Indian Standard Time Designation: Senior Modeler Compensation: Based on experience Placement: Permanent with 3 months of probationary period Show more Show less

We are looking for an enthusiastic Machine Learning Engineer to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimisation of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques, computer vision techniques for auto-verifications, running large-scale bandit experiments to optimize Razorpay’s merchant facing web pages at scale, and many more. In addition to this, we expect the MLE to be adept at productionising ML models using state-of-the-art systems. As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists/product leaders in the industry and have the opportunity to solve complex and critical problems for Razorpay. As a Senior MLE, you will also have the opportunity to partner with and be mentored by senior engineers across the organization and lay the foundation for a world-class DS team here at Razorpay. You come and work with the right attitude, fun and growth guaranteed! Required qualifications 5+ years of experience doing ML in a production environment and productionising ML models at scale Bachelors (required) or Masters in a quantitative field such as Computer science, operations research, statistics, mathematics, physics Familiarity with basic machine learning techniques : regression, classification, clustering, model metrics and performance (AUC, ROC, precision, recall and their various flavors) Basic knowledge of advanced machine learning techniques : regression, clustering, recommender systems, ranking systems and neural networks Expertise in coding in python and good knowledge of at least one language from C, C++, Java and at least one scripting language (perl, shell commands) Experience with big data tools like Spark and experience working with Databricks / DataRobots Experience with AWS’ suite of tools for production-quality ML work, or alternatively familiarity with Microsoft Azure / GCP Experience deploying complex ML algorithms to production in collaboration with engineers using Flask, MLFlow, Seldon, etc. Good to have: Excellent communication skills and ability to keep stakeholders informed of progress / blockers Show more Show less

The Role: We are looking for an enthusiastic Lead Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques. As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay. Responsibilities: Lead the data science team, providing guidance, mentorship, and technical expertise to drive impactful outcomes. Apply advanced data science methodologies, mathematics, and machine learning techniques to solve intricate and strategic business problems. Collaborate closely with cross-functional teams, including engineers, product managers, and business stakeholders, to develop and deploy robust data science solutions. Conduct in-depth analysis of large and complex datasets to extract valuable insights and drive actionable recommendations. Present findings, insights, and strategic recommendations to senior stakeholders in a clear and concise manner. Identify key metrics and develop executive-level dashboards to monitor performance and support data-driven decision-making. Oversee multiple projects concurrently, ensuring high-quality deliverables within defined timelines. Train and mentor junior data scientists, fostering their professional growth and fostering a collaborative and innovative team environment. Continuously improve and optimize data science solutions, evaluating their effectiveness and exploring new methodologies and technologies. Drive the deployment of data-driven solutions into production, ensuring seamless integration and effective communication of results. Mandatory Qualifications: 7-9 years experience in a data science role, with a track record of delivering impactful solutions in a production environment. Advanced degree (Master's or Ph.D.) in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines. Deep knowledge and expertise in advanced machine learning techniques, statistical analysis, and mathematical modeling. Proficiency in programming languages such as Python, R, or Scala, with experience in building scalable and efficient data science workflows. Deep experience with big data processing frameworks (e.g., Hadoop, Spark) and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong leadership skills, with the ability to guide and inspire a team, prioritize tasks, and meet project goals. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders. Proven experience in driving data-driven decision-making processes and influencing strategic initiatives. Deep experience with cloud platforms (e.g., AWS, Azure, GCP) and their data science tools and services. A passion for staying up-to-date with the latest advancements in data science and actively exploring new techniques and technologies. Location: Bangalore Show more Show less