{"id":1239851,"url":"https://alion.io/job/exxonmobil-data-scientist","title":"Data 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":"Data Science","role_family":"Data Science","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":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":49000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"Explainable AI","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-14T07:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-17T13:53:41Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"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.\nExxonMobil in Malaysia\nIn Malaysia, we host a global business and technology center in Kuala Lumpur that provides high-level information technology and engineering expertise to ExxonMobil’s Upstream, Product Solutions and Low Carbon Solutions businesses worldwide. In the upstream, we have interests in two Production Sharing Contracts with PETRONAS, while in the Product Solutions business, we supply a portfolio of specialty chemical products to the marketplace.\nWhat role you will play in the team\nYou will be part of our exciting and rapidly expanding Kuala Lumpur MODS team working and collaborating on a global scale providing deep technical insights and support to ExxonMobil’s Product Solution Business and supply chain/commercial activities\nAs a key member of the team and depending on your level of experience, you will be the single point of contact to improve business performances, or actively developing new models for integration and supporting our business lines in Product Solutions.\nPosition is based in Kuala Lumpur and not limited to Malaysian\nWhat you will do\nDevelop, deploy and act as the single point of contact for specific data science problems within Maintenance domain, technology support, uptake and value generation. \nDevelop and evaluate new models using Timeseries modeling/NLP/Computer vision using python and/or integrating 3rd party tools with EM data/platforms\nSupport Principal Engineer in development and execution of their technology area strategy consistent with the overall discipline vision and ensures alignment with business objectives\nAssist in developing and delivering technical training content\nUnderstand maintenance workflow and enhancements requests and develop new model/features and testing plan. \nDemonstrate industry leadership at conferences or via publications/patents (when applicable) \nDevelop level of expertise in specific technical discipline to be recognized as future leading global expert\nSupports discovery, development and deployment activities for the focused technology area consistent with the Technology Portfolio strategic vision and business partner goals\nProactively engages with Principal Engineers to deploy (implement) technology within their specific technical discipline, consistent with site needs / opportunities\nAbout you\nSkills and Qualifications\nMaster’s, or PhD degree in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 3.5 (out of 4.0).\nAt least 3 years of experience in developing, applying, and validating data-driven tools to model complex systems.\nIn-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).\nPractical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale.\nDeep conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI.\nExtensive knowledge and experience in code design, testing, and ML Ops practices.\nSpecialization in at least one sub-domain, such as time series forecasting, Bayesian skills or NLP-GenAI.\nProficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.\nExperience with software engineering practices, agile methodologies, DevOps, and version control.\nExperience working with Azure Databricks or other data science frameworks.\nFamiliarity with software testing and development practices (Agile).\nExperience with data visualization tools (e.g., Tableau, Power BI).\nNice to have\nSupply chain, trading or commercial experience encompassing pricing, demand forecasting, and end-to-end value chain optimization are preferred.\nPrior experience in software development or working in software teams.\nAbility to identify and scope data science opportunities based on business needs.\nStrong communication and interpersonal skills, with the ability to work collaboratively in a global team environment.\nExcellent problem-solving skills and attention to detail.\nYour benefits\nWe are committed to providing benefits that are competitive and support the needs of our employees.\nApplication Process\nPlease be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.\nFor more information about business solicitation and recruiting scams, please click here.\nWe thank you for your interest in ExxonMobil.\nStay connected with us\nFollow us on LinkedIn or subscribe to our channel at YouTube\nEqual Opportunity Employer\nExxonMobil is an Equal Opportunity Employer. All qualified applicants will be duly considered for employment.\nVoted Top 5 Graduates’ Choice of Employers in Malaysia for Oil and Gas category\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":6865,"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":false,"industries":["Fossil Fuels","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-09-25T16:35:54Z"}],"visa":[],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.632,"p_room":0.55,"age_days":32,"expected_fill_days":27,"reasons":["conf:27","velocity","win:tail","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/exxonmobil-data-scientist","json_url":"https://alion.io/job/exxonmobil-data-scientist.json","meta":{"generated_at":"2026-10-17T15:19:28Z","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":20706,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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-data-scientist"},{"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-data-scientist"},{"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-data-scientist"},{"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-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexxonmobil-data-scientist"}]}