As a Senior Data Scientist in the Research Data and Technology Solutions team at the Federal Reserve Bank of Boston, you will lead complex data science projects from inception to completion, collaborating with economists and engineers to develop advanced statistical models and machine learning algorithms. Your daily tasks include managing data pipelines for quality and integrity, designing software solutions, and creating actionable insights through dashboards and reports. You will work with tools like Python, R, Apache Spark, AWS services, and GitLab in a Linux environment, ensuring best practices in data governance and security. This role involves addressing economic research questions and contributing to monetary policy recommendations, requiring expertise in statistical methods, machine learning, and cloud technologies while fostering innovation within the team.
Skills
Python
R
Stata
SQL
Apache Spark
Apache Airflow
AWS
Lambda
EC2
ECS
IAM
Athena
S3
Ansible
Terraform
Linux
Git
GitLab
Descriptive statistics
Generalized linear models
Basic econometrics
Clustering
Regression
Neural networks
LLMs
Parameter efficient fine-tuning
RAG
CI/CD
What you'll do
Manage data science projects from inception to completion, ensuring timely delivery of high-quality results.
Design and implement advanced statistical models and machine learning algorithms for complex datasets.
Develop software enabling research into modular, efficient, reusable, and maintainable scripts or packages.
Implement data collection, storage, and processing pipelines to ensure data quality and integrity.
Communicate findings and recommendations effectively through dashboards, reports, and visualizations.
What we're looking for
Minimum 5 years of experience in data science, including machine learning and advanced analytics.
Proficiency in Python, R, SQL, Apache Spark, AWS services, and Git.
Strong analytical skills with expertise in statistical methods and data analysis techniques.
Ability to communicate complex technical concepts effectively to non-technical stakeholders.
Experience working in a cross-functional team environment on data-driven projects.
Expertise in implementing data collection, storage, and processing pipelines for data integrity.
Familiarity with machine learning methods such as clustering, regression, neural networks.
Market check
Salary context
This
$151,800–$189,700
range sits above
63%
of similar postings on FindRole.
Peer median band
$110,000–$220,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$191,875
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
32 open roles
on FindRole.
Listed pay typically runs
$160,000–$212,700
across 27 roles with salary data.