Sr. Data Scientist

Job Description

This is a hands-on, end-to-end lead role from discovery to production. As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. Our Partner is focused on building the firm's next-generation data and AI platform, aiming to seamlessly deliver on-demand ML-powered insights across our firm.

Responsibilities

• Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring
• Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments
• Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines
• Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost
• Deliver well‑defined work items; clarify requirements through thoughtful questions and proposals
• Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture
• Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions
• Help shape elements of the data/ML platform strategy and drive execution within your domain
• Balance strategic and pragmatic concerns; proactively surface risks and resolve issues

Requirements

• US Citizenship: Required
• Education: BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent; 5+ years in data science/ML
• Experience: Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring)
• Cloud Knowledge: Solid understanding of cloud‑native architectures (AWS)
• Communication Skills: Excellent communication and collaboration skills; adept at asking incisive questions and aligning diverse stakeholders

Desired Skills

• Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation)
• Strong Python and Spark expertise; hands‑on Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows)
• Time‑series/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt)
• A solid understanding of financial markets and instruments
• Commitment to quality via unit/integration tests, data validation, documentation, and code review

About Us

For more than 20 years, NewGen Technologies has solved our clients’ toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ