Data Scientist GenAI and Intelligent Automation - Oakland, CA | TCS Job

Must Have Technical/Functional Skill

 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.

Roles & Responsibilities

Key Responsibilities

Machine Learning & Predictive Modeling

•Design and develop ML models 

•Build and tune models using XGBoost, Random Forest, scikit learn, and related frameworks

•Evaluate model performance using MAE, RMSE, R², and error distribution analysis

GenAI & Agent Driven AI

•Collaborate with AI Engineers to embed ML models into GenAI driven, multi agent workflows

•Work with RAG pipelines for document intelligence and contextual Q&A

•Enable human readable explanations for predictions and recommendations

Data Engineering & Feature Development

•Analyze structured and unstructured datasets from historical estimates, actual costs, documents, and images

•Perform feature engineering from: 

oSAP/EES data

oHistorical project attributes

oRegulatory and standards documentation

•Ensure data quality, normalization, and anomaly detection

Image & Non Text Analytics (Preferred)

•Support AI image analysis use cases: 

oClassification and attribute extraction from site photos and drawings

oCompliance signals against engineering standards

•Collaborate on pipelines using computer vision outputs and ML inference

MLOps & Model Lifecycle

•Support model training, validation, and runtime invocation within cloud native platforms

•Work with DevOps and AI teams on: 

oModel versioning and reproducibility

oMonitoring for drift, bias, and performance degradation

•Provide inputs for MLOps / LLMOps pipelines and governance dashboards

Required Skills & Experience

•Strong foundation in Data Science, Machine Learning, and Statistics

•Hands on experience with: 

oPython

oscikit learn, XGBoost

oData analysis libraries (NumPy, Pandas)

•Experience building regression and calibrati on models

•Strong understanding of model evaluation metrics

•Experience working with large, complex enterprise datasets

•Ability to explain model outputs in business friendly language

Preferred Skills

•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

Salary Range: $160,000-$180,000 a year

 

 

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

 

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