Senior Data Scientist

Samsung
United States
Workplace: OnsiteFull timeUSD 90,000 - 174,500 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving"]

Build and deploy machine learning systems that improve semiconductor manufacturing by applying anomaly detection, root cause analysis, and virtual metrology. Work primarily with high-frequency time-series and tabular data to engineer features, train and validate predictive models, and own the full model lifecycle from data preparation through monitoring, tuning, and automated retraining. Partner with process engineers and data scientists in a collaborative, sprint-driven environment to deliver clear, actionable results.

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FursaFursa
Samsung
Samsung
1 day ago

Senior Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and deploy machine learning systems that improve semiconductor manufacturing by applying anomaly detection, root cause analysis, and virtual metrology. Work primarily with high-frequency time-series and tabular data to engineer features, train and validate predictive models, and own the full model lifecycle from data preparation through monitoring, tuning, and automated retraining. Partner with process engineers and data scientists in a collaborative, sprint-driven environment to deliver clear, actionable results.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build supervised machine learning models for anomaly detection using high-frequency tabular and time-series data.
  • •Enhance data collection and processing to create robust, high-quality test datasets that maintain model accuracy and integrity.
  • •Design, train, and iterate on predictive models integrating process and quality data with feature engineering and model validation.
  • •Engineer features from continuous time-series streams, handle missing/sparse data, and combine process variables into meaningful representations.
  • •Own the full modeling workflow including cross-validation, hyperparameter tuning, experiment tracking, model versioning, automated retraining, production monitoring, and performance benchmarks; communicate findings to data science and process engineering teams.

Pay and Benefits

Salary: USD 90,000 - 174,500 annually
Perks:Health InsuranceDentalVisionLife Insurance401kPaid Leave

Key Requirements

  • •Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Physics, or a related quantitative field (Master’s or PhD preferred).
  • •5+ years of professional experience designing, training, and deploying machine learning models.
  • •Strong knowledge of regression, classification, ensemble methods, feature engineering, and model evaluation metrics.
  • •Advanced proficiency in Python for data analysis and modeling, plus strong SQL skills for extracting and transforming large datasets.
  • •Experience building and maintaining ML pipelines for experiment tracking, model versioning, automated retraining, and live performance monitoring.
Experience:5+ yearsSemiconductorsMachine learningProduction optimization
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PythonSQLPySparkSHAPML pipelinesExperiment trackingModel versioning

Company Brief

Samsung
Global conglomerate known for consumer electronics, home appliances, semiconductors, displays, and mobile devices. Designs and manufactures a wide range of products and solutions for consumers, enterprises, and industrial customers worldwide.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seoul, South Korea
Founded: 1938
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn