19 applied data scientist jobs at 14 companies in Kyle, TX
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Future Secure AI: Deploys secure, persona-based AI-Workers for large enterprises.
5+ YOE5+ years experience in applied/data science or ML engineering, Bachelor's in CS/Statistics/Math, strong ML algorithm knowledge, Python and TensorFlow/PyTorch/scikit-learn experience, data mining and feature engineering, strong analytical and communication skills.
Driver: Provides AI-powered automated documentation for software codebases.
3+ YOE3-5 years in applied science/ML with evaluation focus; strong statistics; Python; NLP/LLM evaluation; data pipelines and AB testing; ability to design rubrics.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
3+ YOEMaster's in a technical field; 3+ years in ML/data science; strong causal inference, marketing mix, and AIML; Python/R/SQL; cloud/Spark/Docker; excellent communication.
Austin or Dallas or Oklahoma City or United States
$175k-$200k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science experience in digital/performance marketing; hands-on ML modeling and deployment in AWS; experience with bandits/reinforcement learning, recommendations, LTV modeling; expert Python and SQL.
Austin or Dallas or Oklahoma City or United States
$175k-$200k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science experience in adtech/performance marketing; building/deploying ML in AWS; strong modeling fundamentals; experience with bandits/reinforcement learning, recommendation/ranking, LTV modeling; expert Python and SQL.
Fresno or Washington or Jacksonville or Chamblee or Chamblee or Fairview Heights or Covington or Lanham or Detroit or Kansas City or Saint Louis or Charlotte or Holtsville or Philadelphia or Guaynabo or San Juan or Memphis or Austin or Austin or Farmers Branch or Ogden or Kearneysville
$106k-$173k/yrOnsiteFull Time
IRS Office of Chief Counsel: Represents the IRS in tax litigation and legal matters.
1+ YOEBachelor's in mathematics/statistics/computer science/data science or equivalent; 1 year specialized experience applying statistical methods, ML model development/deployment, working with large datasets and Spark/Databricks, data governance, and dashboarding.
Samsung ElectronicsKorea Exchange: 005930: Develops and manufactures consumer electronics, semiconductors, and mobile devices.
3+ YOE3+ years applying ML in industrial settings, bachelor’s or higher in a quantitative field (or equivalent experience), strong statistics, PySpark experience, anomaly/time-series detection, Agile experience.
CommUnityCare Health Centers: Provides accessible healthcare services to underserved Central Texas communities.
5+ YOE3+ MgmtPhD in quantitative field, 5+ years applied data science post-PhD, 3+ years healthcare experience, expertise in predictive modeling, model validation, Azure/Snowflake workflows, and team leadership.
Central Health: Travis County public hospital district providing safety-net healthcare services.
5+ YOE3+ MgmtDoctorate in quantitative field,5+ years applied data science post-PhD,3+ years healthcare experience,3+ years people management,2+ years deploying models with Azure/Snowflake,expertise in model validation,governance and equity.
Central Health: Public hospital district providing safety-net healthcare for Travis County.
5+ YOE3+ MgmtDoctorate in quantitative field,5+ years applied data science post-PhD,3+ years healthcare experience,2+ years production ML,3+ years people management,experience with Azure and Snowflake,expertise in predictive modeling and model validation.
Austin or Dallas or Oklahoma City or Florida or United States
$175k-$200k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science; experience in digital/performance/leadgen marketing; hands-on ML in AWS; strong modeling fundamentals; expertise in Python and SQL; experience with adtech and paid media modeling.
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science experience in digital/performance marketing or leadgen; hands-on ML in AWS; expertise in Python and SQL; experience building adtech algorithms, bandits, recommendation/ranking, LTV modeling; strong business impact focus.
Realtor.comNasdaq: NWSA: Online marketplace for buying, selling, and renting homes.
5+ YOE5+ years in data science or applied statistics, BS in quantitative field required (MS/PhD preferred), strong product analytics and experimentation experience, proficiency in SQL, Python, Tableau, Amplitude, dbt, and Airflow.
Electronic ArtsNASDAQ: EA: Develops and publishes video games and interactive entertainment software.
4+ YOEMaster's in statistics/operations research/data science or equivalent experience; 4+ years applying advanced analytics; advanced Python or R, SQL, and visualization (Tableau, Streamlit, RShiny); experimentation and executive communication experience.
Electronic ArtsNASDAQ: EA: Develops and publishes video games and interactive entertainment software.
2+ YOEMaster's in a quantitative field or equivalent experience; 2+ years applying statistical modeling; proficiency with Python/R, SQL, visualization tools (Tableau/Streamlit/RShiny), experimentation, and Git.
Austin or San Francisco or Chicago or New York City or Arlington
$166k-$230k/yrHybridFull Time
BetterUp: Digital platform for professional coaching and employee mental fitness.
PhD in behavioral or organizational science, expertise in measurement, advanced analytics, executive communication, and applied behavioral science; experience with quantitative and qualitative data and business-facing research.