{"id":1571322,"url":"https://alion.io/job/exxonmobil-artificial-intelligence-scientist","title":"Artificial Intelligence 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":"on_site","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":14500,"max_usd":35000,"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":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Interpretability","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-01T07:56:13Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-04T21:26:41Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"What You will Do\nApply rigorous statistical methods to analyze complex, high-volume datasets and extract meaningful insights.\nDesign and execute experiments (e.g., DOE, hypothesis testing frameworks) to support product development, process optimization, and quality improvement.\nDevelop, validate, and maintain statistical models, ensuring proper assumptions, diagnostics, and interpretability.\nPartner with engineers, scientists, and other stakeholders to frame problems statistically and guide data-driven decisions.\nCreate dashboards and analytical tools that communicate variability, uncertainty, and key performance metrics effectively.\nEnsure reproducibility and robustness of analyses through proper documentation, version control, and statistical best practices.\nContribute to the development of standardized statistical methodologies, reusable code libraries, and analytical workflows.\nIntegrate statistical analysis into operational and digital platforms where appropriate.\nAbout You\nDeep expertise in statistical inference, regression modeling, experimental design (DOE), and multivariate methods.\nStrong programming skills in R or Python, with emphasis on statistical computing, reproducible analysis, and data wrangling.\nProven ability to translate complex statistical results into clear, actionable insights for both technical and non-technical stakeholders.\nStrong communication skills, including presenting statistical findings, assumptions, and limitations in industrial research setting.\nExperience designing, analyzing, and interpreting experiments (e.g., A/B testing, process optimization studies).\nFamiliarity with data visualization and reporting tools (e.g., Power BI, Tableau).\nWorking knowledge of SQL and modern data environments (e.g., Databricks, Azure, AWS, Snowflake) is a plus.\nAbility to work independently and collaboratively within cross-functional teams.\nSkills/Qualifications\nPhD or Master’s degree in Statistics, Biostatistics, Applied Mathematics, or a closely related quantitative field (Data Science or Engineering considered with strong statistical emphasis).\nFor Master’s candidates, a minimum of 3+ years of industry experience is required; experience in chemical, manufacturing, or process industries is a plus.\nCandidates with hands-on experience in experimental design, causal inference, and statistical modeling in real-world industrial settings.\nCandidates with a demonstrated ability to balance statistical rigor with practical business impact are especially encouraged to apply.\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":5118,"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":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Energy & Utilities","Natural Resources","Fossil Fuels","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-10-01T07:56:13Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":25,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/exxonmobil-artificial-intelligence-scientist","json_url":"https://alion.io/job/exxonmobil-artificial-intelligence-scientist.json","meta":{"generated_at":"2026-10-05T00:59:01Z","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":1273,"day_limit":5000,"remaining_today":3727,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}