Data Scientist GenAI and Intelligent Automation $160k - $180k in Oakland at Tata Consultancy Services (TCS)
Tata Consultancy Services (TCS)

Data Scientist GenAI and Intelligent Automation

Tata Consultancy Services (TCS) Oakland, CA, US
Full-time $160k - $180k Posted about 2 months ago

Role overview

Data Scientist to design, build, and operationalize ML, GenAI, and predictive models that power an enterprise scale AI driven Service Planning & Design (SP&D) platform. The role focuses on cost estimation, calibration, compliance intelligence, and document/image interpretation, working closely with GenAI agents, cloud architects, and domain SMEs.

Responsibilities

  • check_circle Design and develop ML models
  • check_circle Build and tune models using XGBoost, Random Forest, scikit learn, and related frameworks
  • check_circle Evaluate model performance using MAE, RMSE, R², and error distribution analysis
  • check_circle Collaborate with AI Engineers to embed ML models into GenAI driven, multi agent workflows
  • check_circle Work with RAG pipelines for document intelligence and contextual Q&A
  • check_circle Enable human readable explanations for predictions and recommendations
  • check_circle Analyze structured and unstructured datasets from historical estimates, actual costs, documents, and images
  • check_circle Perform feature engineering from:
  • check_circle Ensure data quality, normalization, and anomaly detection
  • check_circle Support AI image analysis use cases:
  • check_circle Collaborate on pipelines using computer vision outputs and ML inference
  • check_circle Support model training, validation, and runtime invocation within cloud native platforms
  • check_circle Work with DevOps and AI teams on:
  • check_circle Provide inputs for MLOps / LLMOps pipelines and governance dashboards

Basic qualifications

  • Strong foundation in Data Science, Machine Learning, and Statistics
  • Hands on experience with:
  • Experience building regression and calibration models
  • Strong understanding of model evaluation metrics
  • Experience working with large, complex enterprise datasets
  • Ability to explain model outputs in business friendly language

Preferred qualifications

  • Exposure to GenAI / LLM enabled systems
  • Experience with RAG pipelines and vector search concepts
  • Familiarity with computer vision outputs and non text data analysis
  • Experience in utilities, infrastructure, or regulated industries
  • Understanding of AI governance, explainability, and auditability

Benefits

  • check_circle Discretionary Annual Incentive.
  • check_circle Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • check_circle Family Support: Maternal & Parental Leaves.
  • check_circle Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • check_circle Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • check_circle Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • check_circle Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Tags & Focus Areas

Ai Ai Engineer Machine Learning Data Science Data Engineer

About Tata Consultancy Services (TCS)

Programming Languages & Ecosystems Mathematical & Statistical Concepts Machine Learning & Deep Learning Data Wrangling & Database Management Data Visualization & Storytelling Cloud Platforms & Services Big Data Technologies Natural Language Processing (NLP) MLOps (Machine Learning Operations) & Software Engineering Practices Data Governance & Ethics Experimentation & A/B Testing Locations: San Jose-CA, RTP-NC, Austin-TX, Dallas-TX.

Industry Ai Engineer
HQ San Jose, US