{"id":1240252,"url":"https://alion.io/job/exxonmobil-computational-scientist-2","title":"Computational Scientist","company":{"id":15984,"name":"ExxonMobil","domain":"exxonmobil.com","url":"https://alion.io/company/exxonmobil","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":36000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":437},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-08-29T07:00:00Z","employer_posted_date":"2026-08-29","last_verified_at":"2026-10-03T17:50:48Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"About us\nAt 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.\nThe 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.\nWe 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.\nWhat You Will Do\nWork collaboratively across global, cross-disciplinary teams, and with third parties (academia, industry) to assess, accelerate pace of computational science technology development and deployment.\nFrame computational challenge from business needs, develop solutions that strike a balance between accuracy and runtimes, develop solutions that merge physics and data incorporating uncertainty, develop novel approaches to constrain predictive models with field data. \nSkills and Qualifications\nMaster’s or PhD degree from a recognized university in Engineering/Applied Mathematics/Geoscience/Computational Science with a GPA 7.0 and above (out of 10.0). \nFor candidates with only master’s degree, minimum 3 years of relevant work experience is required. \nExperience in developing, applying, and analyzing physics-based models and developing related algorithms.\nStrong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis.\nHands-on experience with physics-based simulators and computational modeling.\nFamiliarity with surrogate modeling for optimal design and inverse problem-solving is preferred but not mandatory.\nExposure to hybrid modeling approaches combining data-driven and physics-based methods using machine learning tools (e.g., TensorFlow, PyTorch, Scikit-learn)\nKnowledge of deep learning techniques for advanced data analysis and modeling challenges is preferred but not mandatory.\nStrong proficiency in programming/scripting languages like C++/C# or Python.\nExperience with software engineering best practices including software testing, agile development, version control, and DevOps.\nPrior experience in the upstream oil and gas industry is an advantage.\nStrong communication skills and ability to work effectively in interdisciplinary teams to translate complex computational models into actionable insights.\nFunctional Skills\nContinuous Mathematical Optimization\nMulti scale or Multi physics modeling\nHigh Performance Scientific Computing\nMulti-fidelity AI Surrogates\nMathematical Framing of Business Problems\nStay Connected With Us\nLearn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.\nFollow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos\nLike us on Facebook\nSubscribe our channel at YouTube\nEEO Statement\nExxonMobil 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.\nNothing 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.\nExxon 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.","description_format":"text","description_chars":4440,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fossil Fuels","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-09-25T16:37:22Z"}],"visa":[],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.626,"p_room":0.55,"age_days":34,"expected_fill_days":26,"reasons":["conf:6","velocity","win:tail","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/exxonmobil-computational-scientist-2","json_url":"https://alion.io/job/exxonmobil-computational-scientist-2.json","meta":{"generated_at":"2026-10-04T00:27:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":506,"day_limit":5000,"remaining_today":4494,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}