Data Scientist With Genai

Must Have Technical/Functional Skills

Primary: Data science

Secondary: Data science, NLP, ML, Agile tools

Experience: 7 to 10 yrs

Roles & Responsibilities

Position Summary

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

Required Qualifications

* 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 Named Entity Recognition (NER)

o Document Classification

o Document Summarization

o Topic Modeling

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

Desired Candidate Profile