About us At ExxonMobil our vision is to lead in energy innovations that advance modern living and a net-zero future As one of the world s largest publicly traded energy and chemical companies we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for The success of our Upstream Product Solutions and Low Carbon Solutions businesses is the result of the talent curiosity and drive of our people They bring solutions every day to optimize our strategy in energy chemicals lubricants and lower-emissions technologies 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 canwork 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 advantages 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 Please note benefits may change from time to time without notice subject to applicable laws The benefits programs are based on the Company s eligibility guidelines Stay connected with us Learn more about ExxonMobil in India visit ExxonMobil India and Energy Factor India Follow us on LinkedIn and ExxonMobil exxonmobil o 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

📌 Advanced Data Scientist (Karnataka)
🏢 ExxonMobil
📍 Karnataka