{"id":1581815,"url":"https://alion.io/job/howmet-data-scientist","title":"Data Scientist","company":{"id":2065140,"name":"Howmet Aerospace","domain":"howmet.com","url":"https://alion.io/company/howmet","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"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":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":118000,"max_usd":231000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":769},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-09-30T15:38:50Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-03T23:38:35Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Howmet Aerospace is hiring a Data Scientist to join our ML/AI Development Team. This role involves data collection and preprocessing, EDA, machine learning development, model deployment support, and collaborating with cross-functional teams to support our casting, alloy, core, and rings facilities.\nThis position is located at our Howmet Research Center (HRC) in Whitehall, Michigan.\nPrimary Responsibilitie s\nWork closely with engineering teams to understand current challenges, identify opportunities to optimize processes, and design solutions using machine learning and statistical tools.\nBuild and refine machine learning algorithms to enhance Howmet products across all business units.\nConduct statistical analyses to uncover complex relationships and improve manufacturing processes.\nConstruct, manipulate, and analyze large datasets using tools such as Python and SQL.\nCollaborate with internal customers and IT teams to validate trials, implement process enhancements, and integrate machine learning into production workflows.\nPresent data-derived conclusions to a non-technical audience.\nProvide mentorship to data scientists across the organization, helping them build their analytical skills, develop robust solutions, and adopt best practices.\nBasic Qualifications:\nMS or PhD degree from an accredited university in Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics, Statistics, or Analytics.\nMinimum of 5 years of hands-on experience in data science and machine learning, demonstrating ability to apply machine learning algorithms and advanced statistical methods to production/field data using Python.\nStrong knowledge of machine learning and advanced analytics techniques.\nStrong statistical background with demonstrated expertise in analyzing industrial/manufacturing data.\nBasic SQL querying ability.\nExperience managing data science projects from problem definition and data collection through model development.\nFamiliarity with manufacturing or industrial plant environments and their unique challenges.\nStrong organizational skills and the ability to work independently and in a cross-functional team environment.\nExceptional verbal and written communication skills with the ability to convey complex ideas clearly to non-technical audiences.\nEmployees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.\nPreferred Qualifications:\nIntermediate-to-Advanced SQL querying knowledge (window functions, pivots, etc.).\nExperience supporting machine learning model deployment and monitoring.\nFamiliarity with Git revision control.\nWhy Join Us?\nBe at the forefront of innovation, applying machine learning to aerospace manufacturing.\nCollaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems.\nAccess professional growth opportunities and a chance to directly impact Howmet Aerospace’s success.","description_format":"text","description_chars":3031,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-01T13:28:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":132500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0},{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-03T21:09:13+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":87,"reasons":["conf:12","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/howmet-data-scientist","json_url":"https://alion.io/job/howmet-data-scientist.json","meta":{"generated_at":"2026-10-04T00:35:39Z","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":688,"day_limit":5000,"remaining_today":4312,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}