> Markdown version of [/jobs/ext/4511587-data-scientist-with-genai](https://www.wearedevelopers.com/jobs/ext/4511587-data-scientist-with-genai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist With Genai - **Company:** Tata Consultancy Services Limited - **Location:** Addison, TX, United States - **Experience:** Experienced - **Salary:** $100,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Big Data, Computer Programming, Continuous Integration, Document Capture Software, Python (Programming Language), Machine Learning, Named Entity Recognition, Open Source Technology, Performance Tuning, Scrum Methodology, Sentiment Analysis, Software Deployment, Software Engineering, Unstructured Data, Feature Engineering, Data Ingestion, Large Language Models, Generative AI, Information Technology, HuggingFace, Atlassian Tools - **Published:** November 2, 2026 - **Apply:** https://diversityjobs.com/career/18814191/Data-Scientist-With-Genai-Texas-Addison ## About the Role Must Have Technical/Functional Skills Primary: Data science Secondary: Data science, NLP, ML, Agile tools Experience: 7 to 10 yrs, * 7+ years of experience as a Data Scientist or in a related role * Bachelor's degree in computer science, Data Science, or a related technical field * 5+ years of programming experience, with strong proficiency in Python for ML/NLP development * Proven experience developing supervised and unsupervised ML models, including: o Data analysis and feature engineering o Model training, validation, and performance optimization o Ensemble techniques and evaluation metrics * Hands-on experience building ML/NLP pipelines for large-scale datasets (structured & unstructured) * 2+ years of experience developing enterprise ML/NLP solutions in one or more of the following, o Sentiment Analysis o Dialog Systems * Experience working with OCR technologies and document processing solutions * Exposure to open-source GenAI models and frameworks (e.g., Hugging Face, LLaMA, Mistral, LangChain) * Experience working in Agile software development environments Prefer red Qualifications * Master's degree in computer science, Data Science, or a related field * Strong experience collaborating with diverse stakeholders across multiple Lines of Business * Demonstrated ability to own and deliver initiatives independently * Strong analytical thinking and problem-solving capabilities * Experience navigating enterprise data ecosystems and large-scale platforms * Excellent communication and presentation skills for technical and non-technical audiences * Ability to prioritize and manage multiple initiatives in a fast-paced environment * Client-focused mindset with a strong emphasis on delivering business value Salary Range: $100,000-$110,000 a year, BACHELOR OF COMPUTER SCIENCE ## Description The DCRS Inbound Correspondence Team is seeking a highly skilled Data Scientist to design, develop, and maintain document capture and intelligent processing solutions. This role combines machine learning, NLP, and emerging GenAI capabilities to transform large-scale structured and unstructured data into actionable insights and automated workflows. The ideal candidate brings a strong foundation in software engineering, hands-on experience building enterprise-scale ML/NLP solutions, and exposure to modern open-source Gen AI models. This individual will operate within an Agile environment, partnering across technology and business teams to deliver impactful solutions. Key Responsibilities * Design, build, and deploy machine learning and NLP models for document processing and correspondence analysis * Develop and maintain end-to-end ML pipelines, including: o Data ingestion, cleansing, and transformation o Feature engineering and model selection o Performance tuning, evaluation, and visualization * Implement GenAI-driven solutions for document understanding (e.g., summarization, classification, entity extraction) * Build and optimize solutions leveraging OCR technologies for scanned and unstructured documents * Develop scalable systems to process large volumes of structured and unstructured data * Partner with cross-functional teams across Line of Business, Risk, and Technology to deliver solutions aligned with business needs * Contribute to software engineering best practices, including CI/CD, testing, and production deployment * Work within an Agile delivery model, supporting sprint planning, development, and release cycles