Lead Data Scientist

The Federal Reserve

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$167,000–$208,800 / yr
Posted
119 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $188k
$108k most similar roles pay here $237k

This role pays more than 65% of similar roles. Most pay $137,743–$204,050 — the shaded band above. At the midpoint, this role pays about $188k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About The Federal Reserve

The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.

The Federal Reserve currently has 23 open roles on FindRole.

Listed pay typically runs $133,350–$174,450 across 16 roles with salary data.

Most-posted roles

View all roles at The Federal Reserve

At a glance

TL;DR · Lead Data Scientist

As the Lead Data Scientist, you will spearhead data science projects while guiding a team of scientists and engineers to develop data-driven strategies and solutions. You will collaborate with cross-functional teams, including IT and research stakeholders, to design and implement advanced statistical models, machine learning algorithms, and reproducible research workflows. Your daily work involves developing software for modular research, managing data collection and governance, and creating visualizations to provide actionable insights. The role requires proficiency in Python, R, Stata, and SQL, alongside experience with Apache Spark, Airflow, and AWS services like Lambda and S3. You will utilize Linux systems and deployment tools like Ansible and Terraform. Technical expertise must include generalized linear models, neural networks, and LLMs to solve complex research questions and address economic data needs for the organization.

What you'll do

  • Lead, mentor, and provide technical direction to a team of data scientists and engineers.
  • Define and execute the data science strategy in alignment with departmental goals.
  • Manage multiple data science projects from inception to completion to ensure timely delivery.
  • Design and develop modular, reusable software and scripts to support research activities.
  • Build advanced statistical models, machine learning algorithms, and data processing techniques.
  • Collaborate with economists and stakeholders to translate complex data into actionable insights.
  • Oversee data collection, storage, and processing while ensuring high standards of quality and security.
  • Create dashboards and visualizations to communicate findings effectively to non-technical stakeholders.

What we're looking for

  • Minimum B.S. in Computer Science with Statistics or Mathematics; advanced degree preferred.
  • Minimum of 7 years of experience in data science.
  • Minimum of 3 years of experience in a technical leadership role.
  • Proficiency in modern statistical and general-purpose programming languages including Python, R, Stata, and SQL.
  • Expertise in machine learning (clustering, regression, neural networks), LLMs, and advanced statistical modeling.
  • Familiarity with big data tools like Apache Spark, Airflow, and AWS cloud services.
  • Must be a U.S. citizen or lawful permanent resident alien with at least three years of U.S. residency.
  • Ability to pass a two-phase security screening including credit, criminal history, and drug screenings.

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