{"id":2389912,"url":"https://alion.io/job/exxonmobil-computational-scientist-3","title":"Computational Scientist","company":{"id":15984,"name":"ExxonMobil","domain":"exxonmobil.com","url":"https://alion.io/company/exxonmobil","size_band":"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":21000,"max_usd":50000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":671},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-14T00:23:53Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"What You Will Do\nDevelop and apply hybrid models that combine first-principles understanding (chemistry, materials behavior) with data-driven methods to accelerate product development.\nAnalyze experimental and field data to uncover relationships between formulation, processing conditions, and product performance.\nBuild predictive models to support:Formulation optimization\nPerformance prediction\nProduct stability and robustness\nQuality improvement\n\nDesign and support experiments (DOE) to efficiently generate data for model development and validation.\nCollaborate closely with R&D scientists, chemists, and product developers to guide formulation strategies and decision-making.\nDevelop data-driven insights and digital tools to reduce development cycle time and improve success rates.\nEnsure model validity through proper validation, uncertainty quantification, and alignment with domain knowledge.\nDocument methodologies, assumptions, and modeling workflows to support reproducibility and knowledge sharing.\nContribute to development of reusable modeling frameworks and best practices for data-driven product innovation.\nAbout You\nStrong foundation in hybrid modeling, integrating domain knowledge (chemistry, formulations, materials behavior) with statistical and machine learning approaches.\nExperience applying modeling to product development, formulation optimization, and performance prediction.\nSolid understanding of experimental data (lab, pilot, and field) and how to incorporate it into predictive models.\nProficiency in Python or other programing languages for data analysis, modeling, and automation.\nExperience with time-series and experimental datasets related to product performance, stability, and quality.\nDemonstrated ability to translate complex modeling results into insights that guide product design and development decisions.\nStrong communication skills and ability to collaborate with scientists, chemists, and product developers.\nFamiliarity with SQL and modern data platforms (Databricks, Azure, AWS, Snowflake) is a plus.\nAbility to work independently and within cross-functional R&D teams.\nSkills/Qualifications\nPhD or Master’s degree in Chemical Engineering, Materials Science, Mechanical Engineering, Data Science, or a related field.\nFor Master’s candidates, minimum 3+ years of industry experience required; experience in downstream, chemical, or materials/product development environments is strongly preferred.\nStrong preference for candidates with experience in:\nFormulation modeling or property prediction\nHybrid modeling applied to product or material performance\nYour Benefits\nAn 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:\nCompetitive compensation \nMedical plans, maternity leave and benefits, life, accidental death and dismemberment benefits \nRetirement benefits \nGlobal networking & cross-functional opportunities\nAnnual vacations & holidays\nDay care assistance program\nTraining and development program\nTuition assistance program\nWorkplace flexibility policy\nRelocation program\nTransportation facility\nPlease 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.\nStay connected with us\nLearn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.\nFollow us on LinkedIn and Instagram\nLike us on Facebook\nSubscribe our channel at YouTube\nEEO Statement\nExxonMobil is an Equal Opportunity Employer:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.\nBusiness solicitation and recruiting scams\nExxonMobil 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.\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":5196,"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":true,"industries":["Fossil Fuels","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-10-12T20:55:14Z"}],"visa":[],"liveness":{"score":73,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.812,"p_room":0.9,"age_days":12,"expected_fill_days":29,"reasons":["conf:4","win:mid","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/exxonmobil-computational-scientist-3","json_url":"https://alion.io/job/exxonmobil-computational-scientist-3.json","meta":{"generated_at":"2026-10-14T01:26:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2117,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":15984},"rest":"https://alion.io/mcp/rest/get_company?id=15984"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexxonmobil-computational-scientist-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fexxonmobil-computational-scientist-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fexxonmobil-computational-scientist-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/exxonmobil-computational-scientist-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexxonmobil-computational-scientist-3"}]}