1397 Data Scientist Jobs - Page 40

Job Details Experience: 7+ years Notice Period: Immediate joiners Work Timings: Normal working Hours Location: Gurgaon Work Mode: Hybrid Requirements Expertise in Data Science & AI/ML: 6-8 years' experience designing, developing, and deploying scalable AI/ML solutions for Big Data, with proficiency in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Big Data ML libraries (e.g., Spark MLlib). Cloud Proficiency: Proven experience with cloud-based Big Data services (GCP preferred, AWS/Azure a plus) for AI/ML model deployment and Big Data pipelines; understanding of data modeling, warehousing, and ETL in Big Data contexts. Analytical & Communication Skills: Ability to extract actionable insights from large datasets, apply statistical methods, and effectively communicate complex findings to both technical and non-technical audiences (visualization skills a plus). Educational Background Bachelor's or Master's degree in a quantitative field (Computer Science, Data Science, Engineering, Statistics, Mathematics). Skills: data visualization,statistical modeling,data analysis,tensorflow,big data technologies,ai/ml,data mining,pytorch,spark mllib,machine learning models,artificial intelligence,machine learning,problem solving,predictive analytics,etl,warehousing,ml,data science,big data ml libraries,data modeling,scikit-learn,sql,gcp,python,cloud services (gcp, aws, azure),azure,big data,apache spark mllib,ai,aws,statistical methods Show more Show less

Job Title: Data Scientist SDE-2, SDE-3 & SDE-4 (Staff Data Scientist) Location: Noida & Bangalore Job Type: Full Time About us: PhysicsWallah is an Indian online education technology startup based in Delhi, originally created as a YouTube channel in 2014 by Mr. Alakh Pandey. We are the first company aiming to build an affordable online education platform for each Indian student who dreams of IIT & AIIMS but is unable to afford the existing offline/online education providers. We provide e-learning via our YouTube Channel and PhysicsWallah App/Website by providing lectures for JEE Mains and Advanced level, NEET and Board Exams. We are India’s first most viewed Educational channel on Youtube. YouTube Channel- https://youtube.com/c/PhysicsWallah About the Role: Qualification & Eligibility: Bachelor's or higher degree in a quantitative discipline (computer science, statistics, engineering, applied mathematics) Working Experience: SDE-2: 3 to 5 Years SDE-3: 5 to 7 Years SDE-4 (Staff): 7 to 10 Years Startup experience preferred, Edtech work experience bonus Roles & responsibilities: Help teams understand what data science can do for them and set the right expectations. Use deep learning, machine learning, and analytical methods to create scalable solutions for business problems. Create innovative solutions and applications utilising advanced NLP algorithms/architectures including (but not limited to ) LLMs for tasks such as text generation, summarization, translation, entity extraction and concept recognition, clustering, and more. Contribute to the execution of our vision for NLP-based technology solutions using various NLP toolkits like Huggingface, Spacy, CoreNLP, OpenNLP, etc. Perform relevant data analysis and benchmark the NLP solutions to improve our offerings. Be able to clearly communicate results and recommendations to various stakeholders. Evaluate the effectiveness of the solutions and improve upon them in a continuous manner. We expect one to have a mix of a strong technical background, the ability to understand the business implications of their work, and the ability to empathise with our users and work towards helping PhysicsWallah give them the best experience. Help and mentor junior members to become better data scientists. Skill Sets: Experience in building NLP (ML/DL) models. Strong foundational knowledge in transformers ( BERT, GPTs, T5s, etc.), embedded. Expertise in SQL and Python is a must. Hands-on experience with latest GenAI modelling (GPTs, Mistral, Falcon, and LLama) and approaches (RAG, Langchain, etc.). Experience using machine learning (structured, text, audio/video data) libraries (preferably in Python), deep learning (Tensorflow, PyTorch) Good to have: Foundational knowledge of any cloud (AWS/Azure/GCP) Expertise in querying relational, non-relational, graph databases. Experience in big data technologies (Spark, MapReduce, Pig, and Hive) Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

UPL Limited (NSE: UPL & BSE: 512070, LSE: UPLL) is a global provider of sustainable agriculture products and solutions, with annual revenue exceeding $6bn. We are a purpose-led company. Through OpenAg®, UPL is focused on accelerating progress for the food system. We are building a network that is reimagining sustainability, redefining the way an entire industry thinks and works – open to fresh ideas, innovation, and new answers as we strive towards our mission to make every single food product more sustainable. As one of the largest agriculture solutions companies worldwide, our robust portfolio consists of biologicals and traditional crop protection solutions with more than 14,000 registrations. We are present in more than 130 countries, represented by more than 10,000 colleagues globally. For more information about our integrated portfolio of solutions across the food value chain including seeds, post-harvest, as well as physical and digital services, please visit upl-ltd.com and follow us on LinkedIn, Twitter, Instagram and Facebook. Job Title: Data Scientist About Upl UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable, UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries. Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement. Our purpose is ‘OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders. In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment. JOb Responsibilities The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same Required Education And Experience Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain Required Skills Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you? Disruptive projects: Work on ‘breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploying solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure: Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development: Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics! We are one team, for maximum impact. One team with shared goals. We all play for the team and no one plays against the team. We have a laser-like focus on what our customers need and want, on anticipating their future needs and on how we can create innovative solutions and experiences for them. #UPLJobs Show more Show less

UPL Limited (NSE: UPL & BSE: 512070, LSE: UPLL) is a global provider of sustainable agriculture products and solutions, with annual revenue exceeding $6bn. We are a purpose-led company. Through OpenAg®, UPL is focused on accelerating progress for the food system. We are building a network that is reimagining sustainability, redefining the way an entire industry thinks and works – open to fresh ideas, innovation, and new answers as we strive towards our mission to make every single food product more sustainable. As one of the largest agriculture solutions companies worldwide, our robust portfolio consists of biologicals and traditional crop protection solutions with more than 14,000 registrations. We are present in more than 130 countries, represented by more than 10,000 colleagues globally. For more information about our integrated portfolio of solutions across the food value chain including seeds, post-harvest, as well as physical and digital services, please visit upl-ltd.com and follow us on LinkedIn, Twitter, Instagram and Facebook. Job Title: Data Scientist Reports to: Lead – Data Science About Upl UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable, UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries. Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement. Our purpose is ‘OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders. In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment. JOb Responsibilities The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same Required Education And Experience Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain Required Skills Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you? Disruptive projects: Work on ‘breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploying solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure: Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development: Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics! We are one team, for maximum impact. One team with shared goals. We all play for the team and no one plays against the team. We have a laser-like focus on what our customers need and want, on anticipating their future needs and on how we can create innovative solutions and experiences for them. #UPLJobs Show more Show less

Engineer/Sr. Engineer Data Science Location: Pune, India Company Overview: Simplify Healthcare is one of the fastest-growing healthcare technology solutions providers serving the US health insurance (Payer) industry. Headquartered in Chicago with a Global Delivery Centre in Pune, we are trusted by 65+ payer organizations and supported by a team of 800+ professionals. We specialize in delivering SaaS-based enterprise software solutions focused on product and benefits configuration, provider lifecycle management, and more. In 2023, we launched Simplify Health Cloud, our flagship Payer Platform, establishing our position as a leader in cloud-native, low-code configurable platforms for the healthcare sector. With our strategic acquisition of Virtical.ai in 2024, we’re accelerating innovation through AI integration, particularly in areas such as LLMs, conversational AI, and cloud-based intelligence. Our proprietary Simplify App Fabric™ enables fast, secure, and low-code development for modern Payer solutions. Our innovation has earned us repeated recognition in Deloitte Technology Fast 500™, Inc. 5000, and reports by IDC and Gartner. Role Summary: We are seeking a highly skilled and hands-on Engineer / Sr. Engineer – Data Science to join our AI and NLP engineering team. This role is critical to building scalable, intelligent systems leveraging Large Language Models (LLMs), NLP frameworks, and speech technologies. Key Responsibilities: Design and develop scalable NLP pipelines for various healthcare applications. Integrate and fine-tune LLMs (OpenAI, open-source) with Retrieval-Augmented Generation (RAG) frameworks like LangChain. Build and deploy APIs for conversational agents, chatbots, and AI-driven interfaces. Implement Speech-to-Text (STT) and Text-to-Speech (TTS) services using Azure, AWS, or Google Cloud. Work with vector databases like Pinecone to enable semantic search and context-aware interactions. Collaborate with cross-functional teams throughout the SDLC to deliver AI capabilities within our healthcare platform. Apply DevOps/MLOps practices for CI/CD, monitoring, and model lifecycle management. Mentor junior engineers and guide implementation across teams. Acquire and apply functional knowledge of the US healthcare system and Payer business processes. Required Qualifications: 5+ years of software development experience, with at least 2 years in NLP engineering. Strong coding proficiency in Python, particularly for NLP and AI/ML tasks. Hands-on experience with spaCy, NLTK, or similar NLP frameworks. Proven experience working with LLMs, LangChain, or RAG-based architectures. Experience with TTS/STT tools like Azure Speech Services, Google Cloud Speech, Amazon Polly, etc. Familiarity with vector databases (e.g., Pinecone) for semantic and contextual retrieval. Cloud experience, especially Microsoft Azure; knowledge of AWS or GCP is also acceptable. Understanding of DevOps/MLOps pipelines and tooling (e.g., CI/CD, model versioning). Exposure to AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Preferred (Good to Have): Experience in deploying LLMs or chatbots in production. Domain knowledge in healthcare or Payer systems. Exposure to low-code/no-code development platforms. What We Offer: Work on cutting-edge AI/LLM products in healthcare. A fast-growing, innovation-focused environment. Opportunities for learning, mentorship, and career growth. Global exposure with a focus on real-world AI applications. Interested candidates to send updated resume with contact number on seba.vipulsam@simplifyhealthcare.com on priority.

Min. Experience : 1 year (min. 1 year fully in hardcore data science with proper hands-on python coding and modeling experience) Max. Experience : 6 years ( strictly NOT going beyond this experience as we don't attract right talent for a junior position) Max Budget : B2 upto 25 lakhs and B3 upto 35 Lakhs - both figures include variable performance linked bonus (NOT to be shared with the candidate) Notice Period: Max. 60 days (not even a single day more) Core Requirements of the role: Strong background in AI/ML research, model development, and deployment. A mindset to build, test, iterate, and deploy models at scalenot just research, but real-world implementation. Experience with GenAI, NLP, deep learning, and large-scale ML systems. Hands-on expertise in Python, TensorFlow/PyTorch, ML frameworks, and cloud computing. Strong Python programming skills (Pandas, Numpy, Matplotlib, Seaborn, etc.) Familiarity with ML algorithms (Regression, Classification, Clustering, Random Forest, Bagging, Boosting, etc.) Solid foundation in Probability, Statistics & Mathematics Proficiency in SQL for data extraction Knowledge of production deployment architectures Bonus Skills: Hands-on production deployment experience Knowledge basic Linux commands Experience with cloud platforms like GCP, AWS, etc. Familiarity with A/B Testing frameworks

Sapiens is on the lookout for a Lead Data Scientist to become a key player in our Bangalore team. If you're a seasoned Data Scientist pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit. Location: Bangalore Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity. This position will be part of Sapiens Digital division, for more information about it, click here: Criteria 's Job Requirements General Job Description As the Lead Data Scientist in Sapiens, your primary responsibility is to spearhead the development and implementation of cutting-edge data analytics and machine learning solutions to drive informed decision-making and enhance overall business performance. You will lead a team of data scientists in leveraging advanced statistical models and predictive analytics to assess risk, optimize pricing strategies, and streamline underwriting processes. Collaborating closely with cross-functional teams, you will play a pivotal role in identifying opportunities to leverage data for business growth, customer retention, and fraud detection. Additionally, as a key stakeholder in the development of data-driven strategies, you will contribute to the continuous improvement of underwriting models, claims processing, and customer segmentation. With a focus on innovation, you will stay abreast of industry trends and emerging technologies, ensuring that the organization remains at the forefront of data science advancements within the insurance sector. Your leadership will be instrumental in driving a culture of data-driven decision-making and fostering collaboration between data science and other business functions to achieve strategic objectives. Pre - requisites Knowledge & Experience Master's or Ph.D. in Computer Science, Statistics, or a related field. 3+ years of experience as Lead Data Scientist. Proficient in statistical modeling, machine learning algorithms, and data manipulation techniques relevant to insurance analytics. Experience in deploying models to production, ensuring scalability, reliability, and integration with existing business processes. Previous background in working with AI/ML models with Insurance industry. Proficiency in Python and relevant libraries/frameworks (e.g., TensorFlow, PyTorch). Familiarity with big data platforms (e.g., Hadoop, Spark) for handling and analyzing large datasets efficiently. Solid understanding of data management, governance, and security. Knowledge of regulatory compliance in AI/ML practices. Required Product/project Knowledge Understanding of the insurance industry and its processes. Knowledge of data science, statistics and machine learning applications in the insurance domain Required Skills Programming: Proficient in Python. Tools/Frameworks: Experience with 3 out of DataBricks, ML Flow, TensorFlow, PyTorch, GPT, LLM and other relevant tools. Leadership: Ability to lead and mentor a team. Strategic Thinking: Develop and execute AI/ML strategies aligned with business objectives. Data Management: Ensure data availability and quality for model training. Evaluation: Assess applicability of AI/ML technologies and recommend tools/frameworks Common Tasks Collaborate with product managers, customers, and other stakeholders. Implement monitoring systems for model performance. Evaluate and recommend AI/ML technologies. Oversee model development from ideation to deployment. Collaborate with IT and data governance teams. Required Soft Skills Leadership: Lead and mentor a team of data scientists and engineers. Communication: Collaborate with cross-functional teams and stakeholders. Innovation: Drive innovation in AI/ML strategies for insurance products. Adaptability: Stay updated on the latest advancements in AI/ML technologies. Ethics: Ensure AI/ML practices comply with industry regulations and ethical standards.

Experience with tools like Tableau, Power BI, or libraries such as Matplotlib/Seaborn. Hands-on experience in predictive modelling, statistical analysis, and algorithm development.

The Senior Data Scientist is responsible for leading data-driven initiatives, developing predictive models, and extracting valuable insights from complex datasets. This role requires expertise in machine learning, statistical analysis, and big data technologies to solve business challenges and optimize processes. Key Responsibilities: Develop and implement advanced analytics models and machine learning algorithms. Lead data-driven decision-making processes and provide strategic insights. Manage data science projects from conception to deployment. Ensure data quality, integrity, and security. Collaborate with cross-functional teams to understand business needs and devise solutions. Mentor junior data scientists and provide technical guidance. Present findings and visualizations to stakeholders in a clear and actionable manner. Required Skills & Qualifications: Strong proficiency in Python, R, SQL, or other data science tools. Expertise in machine learning, deep learning, and statistical modeling. Experience with big data technologies such as Hadoop, Spark, or cloud platforms. Ability to translate complex data into actionable insights. Excellent communication and problem-solving skills. A degree in Computer Science, Data Science, Mathematics, or a related field. Benefits Competitive salaries Medical Insurance Employee Referral Bonuses Performance Based Bonuses Flexible Work Options & Fun Culture Robust Learning & Development Programs In-House Technology Training

About us We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are seeking candidates to tackle and lead challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using machine learning, time series forecasting, statistical analysis, and programming skills. What you will do Collaborate with data scientists, data analysts, software developers, and business representatives from chemical, lubricants, and fuels value chains globally to develop, deliver, and apply data-driven tools, models, or software to support our businesses. Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial problems and provide business insights. Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations. About You Skills and Qualifications Master s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0). At least 5 years of experience in developing, applying, and validating data-driven tools to model complex systems. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale. Deep conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI. Extensive knowledge and experience in code design, testing, and ML Ops practices. Specialization in at least one sub-domain, such as time series forecasting, Bayesian skills or NLP-GenAI. Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience working with Azure Databricks or other data science frameworks. Familiarity with software testing and development practices (Agile). Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications / Experience Commercial experience encompassing pricing, demand forecasting, and end-to-end value chain optimization are preferred. Prior experience in commercial software development or working in commercial software teams. Ability to identify and scope data science opportunities based on business needs. Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Excellent problem-solving skills and attention to detail. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Job Description: Value Proposition Be responsible for exploring relevant data sources, generating a business understanding of the data, and developing the logic to transform the data into insights that can be demonstrated for this endeavor, connecting the dots to different aspects of building connections/graphs of the venture ecosystem. Build, design, and develop a robust data model to accomplish the goals of this connections program as well as assist in building out analytical tools/solutions. Document the data transformation logic and understanding for other analysts to follow. Job Details Position Title: Lead Data Scientist Career Type: P3 Job Category: Manager Role Type: Hybrid Job Location: Bangalore About the Team: We have a team of 9 FTEs in Bangalore and bigger team in US. We are experts in SAS/SQL/Tableau developments. We collaborate with Sales Ops team to assist our Sales Advisors to reach out to our clients and prospects with all relevant details. We focus on Banks Client growth and Retention. Impact: E nhancing existing data architecture, adding new information for new reporting, seamless execution of batch process etc and using standard methodologies framework to ensure data quality and reconciliation checks are in place and are transparent to our users. Key Deliverables Ability to develop and improve complex SAS scripts, macros, and procedures. Proven Documentation (technical and user documentation) and Verbal and written Communication skills Experience with systems integration, building system models by combining model components and testing the integrity of modeling systems, proficient with model and systems implementation testing. Knowledge of Data Governance and DQ framework is a plus. Background in data management in the Banking/Finance industry is preferred. Demonstrated ability to self-manage and multitask in a dynamic, ever-changing environment. Working knowledge of Tableau is a plus. Demonstrating communication skills to collaborate optimally with analysts across First Citizens India. Skills and Qualification Functional Skills: Analytics, Modeling, & Reporting Corporate Strong analytical and problem-solving skills Experience with ETL and data modeling tools is a plus. Effective time management and organizational skills Bachelor/master s in computer science, Finance, Accounting, Economics, Statistics, or operational research Flexibility to work/manage a variety of projects. Technical Skills: 8+ years of experience in analytics and/or business intelligence space Solid understanding of writing and understanding of complex SAS codes Extensive knowledge and experience in SAS macros, SAS procedures, SQL, Basic UNIX and functions. Demonstrated experience with the data mining tools SAS/Anaconda. Experience in SAS Viya would be preferred. Experience in transforming business specifications and requirements into well-detailed and scripted SAS processes. Relationships & Collaborations: Reports to: Senior Manager Partnering with: Other lead data Scientist & US Counter parts Accessibility Needs We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.

At First Advantage (Nasdaq: FA), people are at the heart of everything we do. From our customers and partners to our greatest advantage our team members. Operating with empathy and compassion, First Advantage fosters a global inclusive workforce devoted to the diverse voices that make up our talent and products. Our team members empower each other to be their authentic selves and treat all with respect, integrity, and fairness. Say hello to a rewarding career and come join a leading provider of mission-critical background screening solutions to some of the most recognized Fortune 100 and Global 500 brands. We are seeking an experienced Senior Data Scientist to join our dynamic, cross-functional team. You ll build and optimize AI-driven solutions and data pipelines, working with modern cloud and data technologies to deliver impactful results. What We Do: We are on the frontline of recruitment enabling organizations to Hire Smarter. Onboard Faster First Advantage is an HR Tech company delivering innovative solutions and insights to enable our clients to manage risk and hire the best talent. Leveraging an advanced technology platform, First Advantage builds fully scalable, configurable screening programs that meet the unique needs of over 33,000 clients. Headquartered in Atlanta, GA and with an internationally distributed workforce spanning 19 countries with about 5,500 employees, First Advantage performs over 93 million screens in over 200 countries and territories annually. Who You Are: You are self-motivated and ready to roll up your sleeves." While you are an independent contributor, you are also collaborative. You can spearhead a project and see it through from start to completion. As a team player, you navigate cross-functional teams and work well with team members in other business units and departments toward a common goal. An Innovator you see gaps in current processes or workflows as an opportunity to improve and try something new. A lifelong learner and always seeking out opportunities to learn and upskill, you understand the importance of thorough and secure screenings and are interested in the Human Capital sector and the confluence of people, process, and technology. What Youll Do Responsibilities: Design, build, and maintain scalable data pipelines and APIs using Python, TypeScript/JavaScript, and cloud platforms like Azure, AWS, or GCP, integrating with business systems via REST APIs, SOAP, or event-driven architectures. Build and optimize ML models for entity matching, text extraction (e.g., OCR, NLP), and recommendation systems using techniques like collaborative filtering, decision trees, or clustering. Collaborate with Data Engineers, Business Analysts, and senior leadership to gather requirements, build robust data architectures, and ensure data quality, integrity, and compliance. Deploy infrastructure and manage data storage using container apps, relational databases, vector stores, or data lakes, leveraging infrastructure-as-code. Implement version control and CI/CD pipelines using GitHub. Leverage data orchestration tools to manage workflows, automate model training, and apply MLOps best practices. Conduct ad-hoc analyses, derive actionable insights, and present findings to stakeholders. Stay current with advancements in AI and machine learning to drive innovation, improve existing solutions, and adapt to evolving technologies. Contribute to Scrum-based agile processes, including sprint planning and retrospectives What You May Need to be Successful Bachelor s Degree in computer science, Engineering, or related field 5+ years of experience in data science, AI, and software engineering. Strong programming skills in Python and JavaScript/TypeScript. Proficiency in SQL for querying and managing relational databases. Experience with cloud platforms (Azure, AWS, or GCP) and API development. Familiarity with at least one data orchestration or MLOps tool (e.g., Prefect, Data Bricks, Airflow, or Azure Machine Learning Studio). Familiarity with virtualization and IaaC tools (e.g, Docker, Bicep/Terraform). Experience with LLM APIs (e.g, OpenAI, LLama). Understanding of machine learning, NLP, and data processing techniques Comfortable in agile environments that implement Scrum Why First Advantage is Your Next Big Career Move First Advantage is going through a technology transformation! We are looking for experts who are excited to work with advanced technologies and provide best-in-class user experiences, drive the development and deployment of scalable solutions, and smoothly guide our agile teams and clients through meaningful changes as we continue to expand our impact. What Are You Waiting For? Apply Today! You have learned a little about us today we want to learn about you! If you think this position and our company are a great fit for your areas of interest and expertise, tell us about you by applying now! EMPLOYEE BENEFITS India Region: Most of the roles are enabled with the ability to work remotely with occasional business travel. Hybrid working model Comprehensive employee Leave policy Career progressions through I nternal job opportunities and Global Talent mobility programs Career Development : Mentoring Program, People Management Program, cross-functions training, soft skills training. Continuous learning and development opportunities. Upskilling and reskilling opportunities mobilized through e-learning platforms Training and Certification reimbursement programs Medical Insurance coverage for employees and parental insurance benefits available. Calendarized Employee Wellness programs Quarterly Rewards and Recognition program to recognize exemplary performance Other attractive allowances Weekend working, Holiday pay, Relocation assistance, Maternity bonus, Creche allowance & Other allowance etc. United States Equal Opportunity Employment: First Advantage is proud to be a global leader in removing barriers and supporting our community members to ensure the changing demographics of the workforce are reflected in our hiring and employment practices. We value all of our candidates, employees, and clients, and place great emphasis on hiring and supporting qualified individuals in each role. We are an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other area protected by applicable law.

Job Summary This role offers a unique opportunity to manage the customer lifecycle through data-driven strategy and decision accuracy optimization. This is an exciting, fast-paced organization where the contribution by team members can significantly impact PayPal s bottom line as well as the end customer experience. We re looking for an Analyst to join the team and help in our efforts to manage customer lifecycle globally across various products. In this role, you will be a strong individual contributor developing solutions for complex, ambiguous and high-visibility business challenges specific to Credit Fraud strategy and Loss Mitigation. You will set and execute a vision for the team that reflects your deep analytical expertise. Job Description Primary responsibilities Design, develop and maintain data-driven solutions for PayPal consumer risk management. Makes sound decisions that balance risk, user experience and financial performance. Identify and address problems and issues during normal course of work and respond to risk mitigation needs quickly to solve issues. Develop and automate tracking functionality that monitors volume and solution efficacy. Regularly evaluate and communicate performance of solutions to management. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results on matters of significance to the business. Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas Identify opportunities and gaps within the current portfolio of PayPal s Fraud Risk controls, including continuously evolving fraud trends Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval Monitor performance of existing & new solutions and optimize to ensure desired results Work closely with partners in Risk Platform, Data Sciences, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions Liaise with internal partners and collaborate with external partners, including external credit/banking partners and data vendors with a view towards iterative process improvement. Support existing automated systems and develop other systems/process and algorithms that could streamline strategy/solution building process and generate good business results. Education & Required Skills Bachelor s degree in Engineering, Mathematics, Statistics,, Finance or related quantitative discipline preferred 2-5 years proven credit or fraud risk analytics experience or equivalent. Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis; strong in analytics and problem solving. experienced with predicative modeling, data mining and analytical tool. Proficient with SQL, SAS, Python, Unix, R etc. Proven experience in employing analytics solution on real world problems. Good business sense and logical thinking. Ability to synthesize information and generalize the pattern. Proven ability to work proficiently on well-defined projects; Focuses primarily on how to achieve overall business objectives of a project with speed and quality Effective inter-personal skills. Manage relationship with key partners. Able to collaborate with remote teams effectively. Skilled in Presenting - can effectively communicate in large or small group settings. Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis Ability to manage a large, diverse set of to-do s - prioritize, stay on top of multiple workstreams, monitor progress Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently Experience working with cross-functional, geographically distributed teams, managing by influence is a plus.

You must have: Phd or Master s degree in Computer Science, Engineering, Applied Mathematics or related field Exposure to Finance domain and use cases in larger global enterprise setting Minimum of 8 to 10 years of Data Science prototyping experience (Python and/or R tool-stack) using machine learning techniques and algorithms such as as k-means, k-NN, Na ve Bayes, SVM, Decision Trees Minimum of 8 to 10 years of Machine Learning experience of physical systems Minimum of 4 to 6 years of experience with distributed storage and compute tools (e.g. Hive and Spark) Minimum of 8 to 10 years of experience in deep learning frameworks like PyTorch, Keras Experience with designing, building models and deploying models to Cloud Platforms like Azure and Databricks. Working knowledge and experience of implementing Generative AI in industry and other latest development in the field of Artificial Intelligence. A research mindset with a problem solving attitude is a MUST. - Masters/PhD degree in Computer Science, Engineering, Applied Mathematics or related field Experience with Natural Language Processing models Experience with Streaming Analytics (i.e. Spark Streaming) Experience with Recurrent Neural Network architectures Experience with Image Analytics Experience with SQL Experience working with remote and global teams Knowledge of Corporate Finance or Financial Analytics Results driven with a positive can-do attitude

Job Description : We are seeking a highly skilled and experienced Principal Analytics Data Scientist to join our team. The ideal candidate will have a strong background in Oracle HCM, Oracle Fusion Data Intelligence (formerly FAW), OTBI, and BIP Reporting, with knowledge of predictive models and AI/ML. They will be responsible for designing and implementing data warehousing solutions, creating visualizations, and ensuring data security within the HCM domain. You will also be overseeing and managing data programs related to workforce planning, workforce predictive analytics, Oracle HCM analytics, and driving data-driven insights and analytics to optimize operational efficiency and improve decision-making within our organization. Your role is crucial in ensuring the effective utilization of data to drive strategic decision-making and enhance organizational effectiveness. In this role, you will play a key role in leveraging data to optimize workforce planning, enhance HR processes, and align Human Resource (HR) strategies with overall business objectives. Lead the build and development of digital dashboards aligned with enterprise standards. Lead and drive the analytics team to ensure deliverables align with enterprise objectives. Coordinate analytics projects with stakeholders, including senior leadership, HR, IT, architects, and cross platforms. Develop and secure FDI, OTBI, and BIP reports and analytics for data reporting. Contribute to the strategic vision of the Data Science team, providing input on initiatives that align with business objectives Ensure data security and compliance with industry standards in Oracle HCM s OTBI/BIP and FDI. Design star schemas, fact and dimension tables, and perform data modeling. Administer BI tools, including metadata modeling, dashboards, and security. Oversee data programs related to Workforce planning and Oracle HCM analytics. Provide analytical support to HR leaders and develop data analytics strategies to optimize operational efficiency. You Must Have: Proven experience (10+ years) in HR data analysis and analytics, focusing on driving business outcomes. Detailed knowledge of HR KPIs and metrics. Proven leadership experience of leading 3 or more people for analytics development Accomplished skills in building dashboards using reporting tools and able to determine descriptive and prescriptive insights. Preferred to have proficiency in data analysis tools and programming languages (e.g., Excel, SQL, Python, R). Experience with HRIS and other HR-related software platforms. Strong communication skills, with the ability to translate complex data findings into actionable insights. High attention to detail and commitment to data accuracy and integrity. We Value: Bachelors degree in Engineering, Analytics, Business, Statistics, Data Science, or a related field. Masters degree preferred. Strong understanding of workforce census and Oracle HCM analytics. Experience in leveraging data to optimize HR processes and drive strategic decision-making. Knowledge of data governance standards and best practices. Ability to collaborate effectively with cross-functional teams and stakeholders. Experience in leading and ownership of complex data projects

About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What Youll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the companys analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What Youll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the companys analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About the Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What Youll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the companys analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S EXPERIENCE 6-8 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science

Data Scientist Location Remote in India - Pune regions Works on EST time zone Excellent communication is a MUST We are looking for a Data Scientist with a product engineering mindset to join our fast-paced, data-driven team. Youll work at the intersection of data science, software engineering, and product development, helping to design and deliver scalable, data-centric solutions that drive business value and enhance user experience particularly in the sports domain. Key Responsibilities Collaborate with cross-functional teams (Product, Engineering, Design, and Business) to identify opportunities where data science can improve products and services. Design, develop, and deploy machine learning models and data pipelines in production environments using Python , R , and cloud-native services on AWS and Microsoft Azure . Translate complex data into clear product insights and actionable recommendations. Contribute to the product lifecycle by embedding data science into product discovery, experimentation, and iterative improvements. Maintain a strong focus on the user experience , ensuring data-driven solutions are practical and aligned with product goals. Communicate findings effectively with both technical and non-technical stakeholders. Technical Requirements 5+ years of experience working with Data in product driven environment Proficient in Python and R for data analysis, modeling, and automation. Experience with cloud platforms and tools in the AWS tech stack (e.g., S3, Lambda, SageMaker, Redshift, Glue) and Microsoft stack (e.g., SQL Server, Power BI, Azure) Strong skills in data wrangling, statistical modeling, machine learning, and data visualization. Solid understanding of software engineering best practices, including version control (Git), CI/CD, and API development. Experience in deploying and monitoring models in production environments. Preferred Qualifications Familiarity or prior experience working in or with the sports industry (e.g., fantasy sports, performance analytics, fan engagement, sports betting) is a plus. Demonstrated ability to work in an agile product development environment. Strong problem-solving and storytelling skills; able to bridge data insights with business impact. Passion for sports and a curiosity to explore how data is transforming the sports world. Bachelors or Master in Computer Science or related field Excellent communication Skills ",

MKTQ326R8 At Databricks our mission is to democratize data and AI. We are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world s best data and AI infrastructure and making it accessible for companies of any size to easily self-serve the platform capabilities to derive data insights and accelerate decision making. In this role, you ll help scale our marketing impact by building data-driven insights and predictive models that shape messaging, channel strategy, and customer engagement across the funnel. Youll partner closely with Marketing, Product, Sales, and Engineering to deliver measurement frameworks that drive real-time optimization and long-term growth. Outcomes You Will Drive: Attribution & ROI Modeling: Design and manage Multi-Touch Attribution (MTA) and Marketing Mix Models (MMM) to quantify the impact of marketing across the buyer journey. Causal Inference & Marketing Lift: Apply techniques like propensity score matching and double robust regression to isolate marketing s incremental impact. Experimentation: Partner with teams to design and analyze A/B tests and incrementality studies that optimize campaign performance. Segmentation & Personalization: Develop audience clusters using first- and third-party data to improve targeting, message relevance, and conversion. Funnel Enablement: Build lead prioritization models and scoring systems to improve sales velocity and conversion. Insight Generation: Translate complex data into clear insights and executive narratives that influence strategy and drive decision-making. Campaign Optimization: Use ML and regression models to improve targeting, spend allocation, and segmentation at scale. Buyer Journey Analytics: Map full-funnel journeys across direct and partner-led paths to identify drop-off points and optimize nurture. Education & Enablement: Build playbooks, dashboards, and training to operationalize analytics and empower stakeholders. Basic Qualifications Degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Marketing Analytics, or a related discipline) 7+ years of experience in marketing analytics, marketing data science, or business intelligence, ideally in B2B SaaS or marketplace environments Proven experience with B2B marketing funnels, campaign KPIs (e.g., conversion rates, CAC, ROI), and performance measurement Proficiency in Python (or R) with libraries like pandas, NumPy, scikit-learn, or statsmodels for data analysis and modeling Strong grasp of causal inference methods and experience applying them in real-world marketing use cases Experience with experimentation platforms, A/B testing frameworks, and interpreting results at scale Skilled at relationship building, communications, and project management to drive strategic alignment and execution across stakeholders at all levels. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https: / / www.mybenefitsnow.com / databricks . Our Commitment to Diversity and Inclusion . Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employers discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Senior Data Scientist Bangalore-560066, ITPL Bangalore, India Play Video Job Info Why First Advantage Apply At First Advantage (Nasdaq: FA), people are at the heart of everything we do. From our customers and partners to our greatest advantage our team members. Operating with empathy and compassion, First Advantage fosters a global inclusive workforce devoted to the diverse voices that make up our talent and products. Our team members empower each other to be their authentic selves and treat all with respect, integrity, and fairness. Say hello to a rewarding career and come join a leading provider of mission-critical background screening solutions to some of the most recognized Fortune 100 and Global 500 brands. We are seeking an experienced Senior Data Scientist to join our dynamic, cross-functional team. You ll build and optimize AI-driven solutions and data pipelines, working with modern cloud and data technologies to deliver impactful results. Who You Are: You are self-motivated and ready to roll up your sleeves." While you are an independent contributor, you are also collaborative. You can spearhead a project and see it through from start to completion. As a team player, you navigate cross-functional teams and work well with team members in other business units and departments toward a common goal. An Innovator you see gaps in current processes or workflows as an opportunity to improve and try something new. A lifelong learner and always seeking out opportunities to learn and upskill, you understand the importance of thorough and secure screenings and are interested in the Human Capital sector and the confluence of people, process, and technology. What Youll Do Responsibilities: Design, build, and maintain scalable data pipelines and APIs using Python, TypeScript/JavaScript, and cloud platforms like Azure, AWS, or GCP, integrating with business systems via REST APIs, SOAP, or event-driven architectures. Build and optimize ML models for entity matching, text extraction (e.g., OCR, NLP), and recommendation systems using techniques like collaborative filtering, decision trees, or clustering. Collaborate with Data Engineers, Business Analysts, and senior leadership to gather requirements, build robust data architectures, and ensure data quality, integrity, and compliance. Deploy infrastructure and manage data storage using container apps, relational databases, vector stores, or data lakes, leveraging infrastructure-as-code. Implement version control and CI/CD pipelines using GitHub. Leverage data orchestration tools to manage workflows, automate model training, and apply MLOps best practices. Conduct ad-hoc analyses, derive actionable insights, and present findings to stakeholders. Stay current with advancements in AI and machine learning to drive innovation, improve existing solutions, and adapt to evolving technologies. Contribute to Scrum-based agile processes, including sprint planning and retrospectives What You May Need to be Successful Bachelor s Degree in computer science, Engineering, or related field 5+ years of experience in data science, AI, and software engineering. Strong programming skills in Python and JavaScript/TypeScript. Proficiency in SQL for querying and managing relational databases. Experience with cloud platforms (Azure, AWS, or GCP) and API development. Familiarity with at least one data orchestration or MLOps tool (e.g., Prefect, Data Bricks, Airflow, or Azure Machine Learning Studio). Familiarity with virtualization and IaaC tools (e.g, Docker, Bicep/Terraform). Experience with LLM APIs (e.g, OpenAI, LLama). Understanding of machine learning, NLP, and data processing techniques Comfortable in agile environments that implement Scrum Why First Advantage is Your Next Big Career Move First Advantage is going through a technology transformation! We are looking for experts who are excited to work with advanced technologies and provide best-in-class user experiences, drive the development and deployment of scalable solutions, and smoothly guide our agile teams and clients through meaningful changes as we continue to expand our impact. What Are You Waiting For? Apply Today! You have learned a little about us today we want to learn about you! If you think this position and our company are a great fit for your areas of interest and expertise, tell us about you by applying now! EMPLOYEE BENEFITS India Region: Most of the roles are enabled with the ability to work remotely with occasional business travel. Hybrid working model Comprehensive employee Leave policy Career progressions through I nternal job opportunities and Global Talent mobility programs Career Development : Mentoring Program, People Management Program, cross-functions training, soft skills training. Continuous learning and development opportunities. Upskilling and reskilling opportunities mobilized through e-learning platforms Training and Certification reimbursement programs Medical Insurance coverage for employees and parental insurance benefits available. Calendarized Employee Wellness programs Quarterly Rewards and Recognition program to recognize exemplary performance Other attractive allowances Weekend working, Holiday pay, Relocation assistance, Maternity bonus, Creche allowance & Other allowance etc.

Your role Location: Chennai Work Hours: 12 PM - 9 PM IST Work Mode: Onsite - 5 days a week We are looking for a detail-oriented and proactive Senior Data Scientist for our Cross-Border line of business. In this pivotal role, you will work closely with the North America Quantitative Analytics leadership team to deliver high-impact data analysis and reporting in support of our Credit and Treasury functions. You will play a hands-on role in maintaining and enhancing our core reporting infrastructure, performing critical data analysis, and supporting operational excellence across our analytics efforts. This role is ideal for an experienced analyst ready to take ownership of high-impact deliverables and collaborate across global teams. What youll be doing Own and deliver complex, business-as-usual (BAU) reports. Analyze large datasets to extract insights, trends, and identify improvement opportunities. Collaborate with North American stakeholders to gather requirements and deliver data-driven solutions. Utilize SQL, Python, and Excel for data extraction, transformation, and reporting automation. Work with internal partners to resolve data issues and ensure accuracy. Proactively troubleshoot anomalies and communicate findings and resolutions. Support data integration from new sources and adapt to evolving reporting needs. Contribute to continuous improvements in reporting efficiency, accuracy, and control measures. 5-7 years of experience in data analysis, business intelligence, or a related role. Bachelor s or Master s degree in Computer Science, Mathematics, Engineering, Statistics, or a related field. Proficiency in SQL, Python, and Excel . Working knowledge of VBA, data visualization, or AI tools is a plus. Strong attention to detail and data quality. Eagerness to learn about compliance and risk in a data context. Ability to work independently, manage deadlines, and collaborate effectively. Experience working with global stakeholders. Familiarity with financial services is preferred but not required. Willingness to work in office, during the specified shift hours, is mandatory . About Corpay Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments. All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpays Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements. Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CVs from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

Artify Talent Studio is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Job Summary: This role offers a unique opportunity to manage the customer lifecycle through data-driven strategy and decision accuracy optimization. This is an exciting, fast-paced organization where the contribution by team members can significantly impact PayPal s bottom line as well as the end customer experience. We re looking for an Analyst to join the team and help in our efforts to manage customer lifecycle globally across various products. In this role, you will be a strong individual contributor developing solutions for complex, ambiguous and high-visibility business challenges specific to Credit Fraud strategy and Loss Mitigation. You will set and execute a vision for the team that reflects your deep analytical expertise. Job Description: Primary responsibilities: Design, develop and maintain data-driven solutions for PayPal consumer risk management. Makes sound decisions that balance risk, user experience and financial performance. Identify and address problems and issues during normal course of work and respond to risk mitigation needs quickly to solve issues. Develop and automate tracking functionality that monitors volume and solution efficacy. Regularly evaluate and communicate performance of solutions to management. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results on matters of significance to the business. Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas Identify opportunities and gaps within the current portfolio of PayPal s Fraud Risk controls, including continuously evolving fraud trends Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval Monitor performance of existing & new solutions and optimize to ensure desired results Work closely with partners in Risk Platform, Data Sciences, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions Liaise with internal partners and collaborate with external partners, including external credit/banking partners and data vendors with a view towards iterative process improvement. Support existing automated systems and develop other systems/process and algorithms that could streamline strategy/solution building process and generate good business results. Education & Required Skills: Bachelor s degree in Engineering, Mathematics, Statistics,, Finance or related quantitative discipline preferred 2-5 years proven credit or fraud risk analytics experience or equivalent. Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis; strong in analytics and problem solving. experienced with predicative modeling, data mining and analytical tool. Proficient with SQL, SAS, Python, Unix, R etc. Proven experience in employing analytics solution on real world problems. Good business sense and logical thinking. Ability to synthesize information and generalize the pattern. Proven ability to work proficiently on well-defined projects; Focuses primarily on how to achieve overall business objectives of a project with speed and quality Effective inter-personal skills. Manage relationship with key partners. Able to collaborate with remote teams effectively. Skilled in Presenting - can effectively communicate in large or small group settings. Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis Ability to manage a large, diverse set of to-do s - prioritize, stay on top of multiple workstreams, monitor progress Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently Experience working with cross-functional, geographically distributed teams, managing by influence is a plus. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

2-4 years of experience in designing, developing, and training machine learning models using diverse algorithms and techniques, including deep learning, NLP, computer vision, and time series analysis. Proven ability to optimize model performance through experimentation with architectures, hyperparameter tuning, and evaluation metrics. Hands-on experience in processing large datasets, including preprocessing, feature engineering, and data augmentation. Demonstrated ability to deploy trained AI/ML models to production using frameworks like Kubernetes and cloud-based ML platforms Solid understanding of monitoring and logging for performance tracking. Experience in exploring new AI/ML methodologies and documenting the development and deployment lifecycle, including performance metrics. Familiarity with AWS services, particularly SageMaker, is expected. Excellent communication, presentation, and interpersonal skills are essential. Good to have: Knowledge of GenAI (LangChain, Foundation model tuning, and GPT3) Amazon AWS Certified Machine Learning - Specialty certifications Explore different models and transform data science prototypes for given problem Analyze dataset perform data enrichment, feature engineering and model training Abale to write code using Python, Pandas and Dataframe APIs Develop machine learning applications according to requirements Perform statistical analysis and fine-tuning using test results Collaborate with data engineers & architects to implement and deploy scalable solutions. Encourage continuous innovation and out-of-the-box thinking. Experience applying theoretical models in an applied environment.

We have an exciting opportunity for you to lead data science initiatives, enhancing productivity and efficiency at Chase Bank. As a Data Scientist Lead within the Data and Analytics team, you will spearhead efforts to enhance productivity and efficiency at Chase Bank. You will oversee the impact analysis of improvements to the software development lifecycle from various internal products and programs geared to improving the developer experience. Job Responsibilities Lead collaboration with product managers, engineers, and other stakeholders to understand business objectives and translate them into data-driven solutions. Oversee the analysis of large and complex data sets to identify trends, patterns, and opportunities for improvement in the product development life cycle. Direct the development and implementation of predictive models and machine learning algorithms to forecast product performance and operational processes. Guide the design and conduct of experiments to test hypotheses and validate model outcomes, ensuring accuracy and reliability. Ensure the creation and maintenance of dashboards and reports to visualize key metrics and insights, facilitating informed decision-making across teams. Stay up to date with industry trends, emerging technologies, and best practices in data science and analytics. Mentor and develop data scientists, fostering a collaborative and innovative team environment. Required Qualifications, Capabilities, and Skills Bachelor s degree in data science, Statistics, Computer Science, or a related field. Ability to tackle unstructured problems; strong learning aptitude required. Experience with data analytics and/or visualization techniques (e.g., SQL, Python, Tableau), as well as data warehousing technologies (e.g., Snowflake, Databricks, Redshift). Exceptional communication (written and verbal) and presentation skills - an ability to communicate effectively with diverse audiences across business and technology partners, including senior leadership. Proven experience (7+ years) in data science, analytics, or a related role, preferably within the financial services or technology industry. Expertise in machine learning techniques, statistical modeling, and data mining. Excellent problem-solving skills and the ability to work with complex data sets to derive actionable insights. Preferred Qualifications, Capabilities, and Skills Experience with Agile methodologies and proficiency in Atlassian tools like Jira and Jira Align to manage workflows and enhance team collaboration. Familiarity with analytics engineering tools like dbt and Airflow. Familiarity with DevEx metrics and an understanding of software deployment pipelines. Familiarity with AI technologies, including prompt engineering and proof-of-concept (POC) development, to leverage advanced analytics and machine learning capabilities.