{"id":2462103,"url":"https://alion.io/job/patterson-uti-senior-data-scientist","title":"Senior Data Scientist","company":{"id":2504637,"name":"Patterson-UTI","domain":"patenergy.com","url":"https://alion.io/company/patenergy","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":45,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1181},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-10-13T16:57:12Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-15T09:57:19Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Patterson-UTI's Data Science and Analytics team turns rig data into better drilling. We partner primarily with the Drilling Automation team to design, test, and refine new automation technology, using analytics, machine learning, and artificial intelligence to make drilling safer and more efficient.\nAs a Senior Data Scientist, you'll own analytics projects from first stakeholder conversation to final presentation, mentor junior teammates, occasionally spend time on rigs to test new technology or understand the operations behind the data.\nProjects you may work on include:\nModeling greenhouse gas emissions across the rig fleet to reduce environmental impact and improve reporting\nDesigning drilling advisory systems that improve efficiency\nBuilding automated monitoring, detection, and alerting for operational events\nDeveloping models that predict downhole and surface equipment failures\nThis is an individual contributor role reporting to the Senior Manager, Data Science. We're looking for someone who is technically strong in Python and time-series analysis, comfortable explaining complex methods to non-technical audiences, and excited to work alongside the people who run the rigs. This is an applied research role with impact on real world operations.\nDetailed Description:\nMentor and coach other data scientists and analysts\n\nExecute as an individual contributor multiple analytics projects of varying complexity and data sources (~1 week to ~3 months; time series and relational databases)\n\nBecome the subject matter expert on projects, including visiting rigs to gain a deeper understanding of drilling rig operations.\n\nMaintain standards on code quality and code management\n\nBe the focal point for analytics: work and communicate with multiple stakeholders, understand project requirements, and deliver analytics solutions that add business value\n\nAssist with developing and improving our suite of data analytics applications and visualizations, including developing requirements and working with developers\n\nIndependently manage and execute above projects from start-to-finish, including understanding stakeholder needs; acquiring necessary data; cleaning / analyzing data and innovating beyond initial requirements; generating visuals / reports; and presenting results to stakeholders\n\nIdentify opportunities for more advanced data science solutions\n\nJob Requirements\nPrior experience in oil and gas data analytics\n\nExpert in programming to generate analyses, algorithms, and visuals\n\nAble to articulate complex data science techniques to end-users that have minimum technical background\n\nHave excellent soft skills to gain rapport within the organization and seek out buy-in for our analytics team\n\nAble to work both independently and as part of a team, managing multiple tasks and projects simultaneously to meet challenging deadlines\n\nAble to think strategically and translate concepts into action plans and track results\n\nAble and willing to occasionally visit a drilling rig location to gain subject matter knowledge\n\nExcellent verbal and written communication skills\n\nRepresent the data science team by presenting drilling intelligence, automation products, and AI/ML initiatives to customers and end users, while representing Patterson-UTI at internal and external events, including marketing and sales engagements\n\nCapable of leading a small team of data analysts and data scientists, with the potential to grow into a Lead Data Scientist role\n\nMinimum Qualifications\nBachelor’s degree in Engineering, Physics, Computer Science or related field\n\n5 years of experience applying data science techniques specifically to industrial operational data (i.e. Oil and Gas, chemicals, manufacturing, etc.)\n\n3 years of experience in Python for data analysis and visualization (including Jupyter Notebooks, Pandas, Numpy, Matplotlib)\n\n3 years of experience using scikit-learn or equivalent software\n\n3 years of experience analyzing time series data\n\n3 years of experience using SQL for data extraction and manipulation\n\n1 year of experience using Git for code management\n\nPreferred Qualifications\nMaster’s degree or higher in Engineering, Physics, Computer Science or related field\n\nOver 2 years of experience applying data science techniques to data generated from oil and gas drilling operations\n\nOver 2 years of experience using PowerBI or other business intelligence tools\n\nOver 2 years of experience developing and deploying models at the edge\n\nOver 2 years of experience in any of the following:\nPhysical modeling of mechanical systems\n\nPredictive maintenance or reliability modeling of equipment\n\nDrilling automation systems\n\nControl systems for industrial applications\n\nExisting research publications and/or patents related to oil and gas 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