Hiring: Lead Data Scientist Company: Federal Reserve Bank of Boston Location: Boston, MA Job Posted Time: 2026-09-03 10:23:22 Employment Type: Full-time Target Skills & Keywords : AWS, Airflow, Ansible, EC2, ECS, Fine-tuning, Git, GitLab, IAM, LLM, Lambda, Linear, Linux, Machine Learning, Python, R, RAG, Red Hat, S3, SQL, Spark, Terraform About the job Experience: •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: Successful candidates will have familiarity with a number of tools listed below and ideally expertise in one or more. •Programming languages: Python, R, Stata, SQL •Frameworks: Apache Spark, Apache Airflow •Cloud services: AWS (Lambda, EC2, ECS, IAM, Athena, S3) Required Skills: •Leadership and Strategy: Lead and mentor a team of data scientists and engineers. Define and drive the data science strategy in alignment with department goals. Foster a culture of continuous learning and improvement within the team. •Project Management: Oversee and manage multiple data science projects from inception to completion. Ensure timely delivery of high-quality results that meet business requirements. •Software Engineering: Design and develop software that enable research into modular, efficient, reusable, and maintainable scripts or packages. •Data Analysis and Modeling: Design and implement advanced statistical models, machine learning algorithms, and data processing techniques. Utilize a variety of tools and methods to answer research questions from complex datasets. •Collaboration: Work closely with economists and other stakeholders to understand their data needs and deliver solutions that drive business outcomes. Develop and promote best practices for reproducible research workflows. Communicate findings and recommendations effectively. •Innovation: Stay current with industry trends and emerging technologies. Identify opportunities for incorporating new methods and technologies into our data science practices. •Data Management: Oversee data collection, storage, and processing to ensure data quality and integrity. Implement best practices for data governance and security. •Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations that provide clear and actionable insights to stakeholders. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!