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# Data Scientist GenAI and Intelligent Automation

- **Company:** Tata Consultancy Services Limited
- **Location:** Oakland, CA, United States
- **Salary:** $160,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Image Analysis, Information Engineering, DevOps, Python (Programming Language), Machine Learning, NumPy, SAP (Applications), Search Technologies, Unstructured Data, Feature Engineering, Large Language Models, Random Forest, Model Validation, Pandas, Scikit Learn, Information Technology, Xgboost, Machine Learning Operations, Text Analysis, Software Version Control
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=01208ba282add27d

## About the Role

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

 * Hands on experience with:

o Python
o scikit learn, XGBoost
o Data 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, Qualifications : BACHELOR OF COMPUTER SCIENCE

## Description

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., 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:

o SAP/EES data
o Historical project attributes
o Regulatory and standards documentation

 * Ensure data quality, normalization, and anomaly detection

Image & Non Text Analytics (Preferred)

 * Support AI image analysis use cases:

o Classification and attribute extraction from site photos and drawings
o Compliance 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:

o Model versioning and reproducibility
o Monitoring for drift, bias, and performance degradation

 * Provide inputs for MLOps / LLMOps pipelines and governance dashboards


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