Lead Data Scientist

Federal Reserve Bank of New York; Boston (MA); On-site; USD 167,000 - 250,600; Full time

Job summary

Federal Reserve Bank of New York is seeking a Lead Data Scientist in Boston. In this role, you will spearhead data science projects, lead a team of data scientists and engineers, and collaborate with various stakeholders to implement data-driven strategies.

The ideal candidate will have a minimum of 7 years' experience in data science with at least 3 years in a leadership role. A strong background in statistical modeling and machine learning is required. Competitive salary range from $167K to $250K.

Qualifications

• Minimum of 7 years in data science, including at least 3 years in a technical leadership role.
• Proven track record of successfully leading data science projects and teams.
• Strong verbal and written communication skills; ability to present complex technical concepts to non-technical stakeholders.

Responsibilities

• Lead and mentor a team of data scientists and engineers.
• Oversee and manage multiple data science projects from inception to completion.
• Design and implement advanced statistical models and machine learning algorithms.

Skills

Data analysis

Machine learning

Statistical modeling

Python

R

AWS

SQL

Education

B.Sc. in Computer Science with Statistics or Mathematics

Advanced degree preferred

Tools

Apache Spark

Apache Airflow

Ansible

Terraform

Git

GitLab

Job description

Company Summary

Federal Reserve Bank of Boston. The Boston Fed is one of 12 Reserve Banks and serves all or parts of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont.

Job Overview

As the Lead Data Scientist, you will spearhead data‑science projects and guide a team of data scientists and engineers. You will collaborate closely with engineering, IT, and research stakeholders to develop and implement data‑driven strategies and solutions. The role is technical leadership for a group of Data Scientists and will collaborate with Dev Ops Engineers to implement data platforms and analytics solutions.

Principal Accountabilities

• Lead and mentor a team of data scientists and engineers; define and drive the data science strategy in alignment with department goals.
• Oversee and manage multiple data science projects from inception to completion, ensuring timely delivery of high‑quality results.
• Design and develop software to enable research, creating modular, efficient, reusable, and maintainable scripts or packages.
• Design and implement advanced statistical models, machine learning algorithms, and data processing techniques to answer research questions.
• Collaborate closely with economists and stakeholders to understand data needs and deliver solutions that drive business outcomes.
• Develop and promote best practices for reproducible research workflows; communicate findings and recommendations effectively.
• Stay current with industry trends and emerging technologies; identify opportunities for new methods and technologies in data science practices.
• Oversee data collection, storage, and processing to ensure data quality and integrity; implement best practices for data governance and security.
• Develop and maintain dashboards, reports, and visualizations that provide clear and actionable insights to stakeholders.

Supervision

This position is not required to directly supervise others but may provide direction to junior team members or interns.

Knowledge and Experience

• Education: Minimum B.Sc. in Computer Science with Statistics or Mathematics. Advanced degree preferred.
• Experience: Minimum of 7 years in data science, including at least 3 years in a technical leadership role; proven track record of successfully leading data science projects and teams.
• Technical Skills: Proficiency in modern statistical and general‑purpose programming languages; expertise in data analysis, machine learning, and statistical modeling; experience with data visualization tools and big data technologies.

Tools and Technologies

• Programming languages: Python, R, Stata, SQL
• Frameworks: Apache Spark, Apache Airflow
• Cloud services: AWS (Lambda, EC2, ECS, IAM, Athena, S3)
• Deployment tools: Ansible, Terraform
• Operating systems: Linux (Alma, Red Hat)
• Statistical methods: Descriptive statistics, generalized linear models, basic econometrics
• Machine learning methods: Clustering, regression, neural networks; familiarity with LLMs, parameter‑efficient fine‑tuning, and RAG.
• Development tools: Git, GitLab

Anaylytical and Leadership Skills

• Strong problem‑solving and analytical abilities; deep understanding of statistical methods and data analysis techniques.
• Excellent leadership: ability to lead, motivate, and mentor a team of data professionals.
• Strong verbal and written communication skills; ability to present complex technical concepts to non‑technical stakeholders.
• Proven experience working in a cross‑functional team environment and building strong relationships with stakeholders.

Security and Background Checks

Any offer of employment is contingent upon successfully passing a two‑phase security screening. The first phase includes a physical examination, drug screening, reference checks, and a security investigation. The second phase may include citizenship status verification and personal interviews with the candidate. All employees assigned to this position will be subject to FBI fingerprint/criminal background and Patriot Act/OFAC watch list checks at least once every five years.

EEO Statement

The Federal Reserve Bank of Boston is committed to a diverse and inclusive workplace and provides equal employment opportunities to all persons without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, genetic information, disability or military service.

Compensation

Total Base Pay range: $167,000.00 – $208,800.00 – $250,600.00 USD. Annual Full Time / Part Time, Full time, Regular / Temporary. Regular Job Exempt (Yes / No) Yes. Job Category: Economics/Research.