{"id":58965,"url":"https://alion.io/job/samsung-electronics-machine-learning-engineer","title":"Senior Data Scientist","company":{"id":166,"name":"Samsung Electronics","domain":"samsung.com","url":"https://alion.io/company/samsung","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":124,"ghost_share":0.008,"stale_share":0.613,"repost_share":0.024,"time_to_fill_p50_days":35,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taylor, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":174500,"currency":"USD","period":"year","gross":null,"usd_annual":174500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SHAP","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-03T23:24:13Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":81},"description":"About Samsung Austin Semiconductor\nSamsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.\nCome innovate with us!\nPosition Summary\nAs a Senior Data Scientist at Samsung Austin Semiconductor, you will build and deploy machine learning systems that directly improve our semiconductor manufacturing process. Your work will center on anomaly detection, root cause analysis, and virtual metrology. You will spend most of your time working with high-frequency time-series and tabular data, engineering features, training models, and ensuring your results are clear and actionable for process engineers. You will own the full model lifecycle: data preparation, algorithm selection, deployment, monitoring, and ongoing tuning.The team operates in a collaborative, sprint-driven environment where you will have the autonomy to design your own technical approaches, test new methods, and iterate quickly based on feedback. Prior semiconductor experience is helpful but not required; you will learn the domain through hands-on projects and direct support from the team.\nRole and Responsibilities\nHere’s What You’ll Be Responsible For:\nBuild supervised machine learning models for anomaly detection using high-frequency tabular and time-series data.\nEnhance data collection and processing workflows to create robust, high-quality test datasets that ensure model accuracy, relevance, and integrity.\nDesign, train, and iterate on predictive models that integrate various process and quality data sources emphasizing algorithm selection, feature engineering, and rigorous model validation.\nEngineer features from continuous time-series streams, combine process variables meaningfully, and build reliable methods for handling missing or sparse data.\nManage the full modeling workflow including cross-validation, hyperparameter tuning, experiment tracking, model versioning, and automated retraining schedules.\nSet clear statistical benchmarks for model performance and monitor deployed models in production.\nCommunicate complex technical findings to both fellow data scientists and process engineers.\nSkills and Qualifications\nHere's what you'll need:\nRequired\nBachelor’s degree or higher in Data Science, Statistics, Computer Science, Physics, or a related quantitative field (Master’s or PhD preferred).\n5+ years of professional experience designing, training, and deploying machine learning models.\nSolid working knowledge of regression, classification, ensemble methods, feature engineering, and model evaluation metrics.\nAdvanced proficiency in Python for data analysis and modeling, plus strong SQL skills for extracting and transforming large datasets.\nExperience building and maintaining ML pipelines for experiment tracking, model versioning, automated retraining, and live performance monitoring.\nPreferred\nA track record of turning open-ended questions into clear machine learning problems and delivering models that run reliably in production.\nHands-on experience with tabular data techniques like categorical encoding, missing value imputation, and model interpretability methods such as SHAP.\nComfort working in an Agile environment where you can prototype quickly, validate results with real data, and refine models based on direct feedback from engineering teams.\nPractical experience using PySpark to process, transform, and scale large datasets for machine learning workflows.\nThe current base salary range for this role is between $90,000 - $174,500. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.\nTotal Rewards\nAt Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.\nWe offer a comprehensive benefits package, including:\nMedical, dental, and vision insurance\nLife insurance and 401(k) matching with immediate vesting\nOnsite café(s) and workout facilities\nPaid maternity and paternity leave\nPaid time off (PTO) + 2 personal holidays and 10 regular holidays\nWellness incentives and MORE\nEligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.\nAll positions at Samsung Austin Semiconductor are full-time on-site.\nTrade Secrets\nBy submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.\n* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.\n* Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.","description_format":"text","description_chars":5581,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Smartphones","Televisions","Semiconductor Manufacturing","Displays & Panel Technology"],"lifecycle":[{"event":"open","at":"2026-08-14T00:00:00Z"},{"event":"close","at":"2026-10-19T13:56:05Z"},{"event":"reopen","at":"2026-10-28T03:13:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 132 · green card filings: 34","filings_12m":132,"filings_prev_12m":178,"green_card_filings_12m":34,"median_offered_wage_usd":166084,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":23}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.489,"p_room":0.28,"age_days":81,"expected_fill_days":35,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":174500,"is_top_pay":true},"html_url":"https://alion.io/job/samsung-electronics-machine-learning-engineer","json_url":"https://alion.io/job/samsung-electronics-machine-learning-engineer.json","meta":{"generated_at":"2026-11-04T03:07:20Z","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":4807,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":166},"rest":"https://alion.io/mcp/rest/get_company?id=166"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsamsung-electronics-machine-learning-engineer"},{"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%2Fsamsung-electronics-machine-learning-engineer"},{"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%2Fsamsung-electronics-machine-learning-engineer"},{"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/samsung-electronics-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsamsung-electronics-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":58965}},{"tool":"search_jobs","arguments":{"company":"samsung.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":58965},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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