Senior Data Scientist

Role Overview

• 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

• BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent
• 5+ years in data science/ML
• Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring)
• Solid understanding of cloud‑native architectures (AWS)
• Excellent communication and collaboration skills; adept at asking incisive questions and aligning diverse stakeholders
• Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation) (Preferred)
• Strong Python and Spark expertise; hands‑on Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows) (Preferred)
• Time‑series/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt) (Preferred)
• A solid understanding of financial markets and instruments (Preferred)
• Commitment to quality via unit/integration tests, data validation, documentation, and code review

Tech Stack

• AWS
• Cloud
• Pandas
• PySpark
• Python
• Spark
• SQL
• Tableau
• Unity

Benefits

• Competitive compensation
• Annual bonus eligibility
• A generous retirement plan
• Hybrid work schedule
• Health and wellness benefits, including online therapy
• Paid time off for vacation, illness, medical appointments, and volunteering days
• Family care resources, including fertility and adoption benefits