5 applied data scientist jobs at 5 companies in Angleton, 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.
San Jacinto College: Providing higher education and technical training in Houston.
1+ YOEBachelor's in quantitative field, 1+ year applied data science or quantitative analysis experience, skills in data preparation, modeling, validation, documentation, and communicating findings; knowledge of Responsible AI and data privacy (FERPA).
TGSOslo Stock Exchange: TGS: Provides subsurface data and intelligence to the energy sector.
5+ YOEMSc or PhD in a technical discipline, 5+ years applied data science experience, strong scientific ML and deep learning background, technical leadership and experimentation skills.
Houston Independent School District: Largest public school system in Texas providing K-12 education.
6+ YOE6+ years in data science or applied analytics; expert proficiency in Python, R, SQL, and Power BI; experience with Microsoft Fabric, SIS, or ERP; strong statistical and ML skills; data storytelling and leadership experience.
Python, R, SQL, Power BI, Microsoft Fabric, SIS, ERP
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE7–8+ years applied data science with 5+ years in talent/people analytics; production ML, Python, SQL, HR systems experience; strong statistical, causal, NLP/LLM, and model lifecycle skills.
Workday, PeopleSoft, Python, Git, Spark, dbt, Airflow, MLflow, Seldon, Terraform, Helm, SHAP, LIME, AIF360, SQL, Tableau, Power BI
Crown CastleNYSE: CCI: Owns, operates, and leases shared communications infrastructure.
10+ YOE10+ years applying statistics, machine learning, and deployment; strong Python and DevOps; experience with LLMs, RAG, and enterprise environments.
Python, DevOps, Git, Machine Learning Libraries, LLM, RAG, Data Pipelines