Data Science Consultant (Hybrid)
About The Position
Summit is a specialized analytics firm that uses economics, statistics, and analytics to solve complex challenges for federal, state, and private-sector clients. Our work in federal infrastructure finance, transaction advisory services, evidence-based program evaluation, modernization, and enforcement and litigation analytics helps make government effective for the public good. We are committed to fostering a collaborative workplace built on diverse perspectives, continuous learning, and trust. At Summit, you'll find an environment that empowers you to grow, contribute meaningfully, and do your best work. We are seeking a Data Science Consultant / Senior Data Science Consultant to join our team, which partners with clients to transform complex data into actionable insights through modern analytics, machine learning, and data-driven decision support. Successful candidates will be comfortable moving between exploratory data analysis, machine learning, cloud-based ETL development, and modern software development practices to deliver production-ready analytical solutions.
Requirements
- U.S. citizenship and ability to obtain a Public Trust clearance
- 5+ years total experience in data science including data preprocessing, data visualization, statistical techniques and concepts, and data management.
- Experience using AI-assisted development tools (e.g., GitHub Copilot) in conjunction with strong Python and/or R programming skills to accelerate data analysis, analytical workflow development, and visualization while validating results.
- 4+ years of experience programming in Python and/or R, including the ability to review, modify, and validate code.
- 2+ years of consulting experience with project management skills.
- Experience developing analytical solutions in cloud environments (e.g., AWS or Azure), including data storage, ETL pipelines, and cloud-based analytics services.
- Experience using version control (e.g., Git).
- Bachelor's degree.
Nice To Haves
- SQL
- Experience with cloud-native-data platforms and services (e.g., Amazon S3, AWS Glue, Athena, Redshift, Azure Data Factory, etc.)
- Experience deploying and maintaining code using Git-based workflows and CI/CD (e.g. GitHub Actions, GitLab pipelines, Azure DevOps)
- Experience with machine learning techniques such as clustering, classification, or anomaly detection
- Experience supporting data-driven decision making for government, regulatory, or policy organizations
- Tableau
Responsibilities
- Conduct exploratory data analysis to identify trends, patterns, anomalies, and actionable insights from complex datasets.
- Ability to translate ambiguous business or policy questions into structured analytical approaches and actionable insights.
- Develop compelling data visualizations and communicate analytical findings through presentations, dashboards, and written summaries for technical and nontechnical audiences.
- Apply statistical methods and machine learning techniques to solve business and policy problems, including segmentation, predictive modeling, and pattern detection.
- Rapidly investigate emerging business questions through iterative data analysis and hypothesis testing.
- Design scalable, repeatable analytics and data engineering workflows that support production-ready analytical solutions.
- Mentor junior staff in data science and software development best practices.
- Contribute to technical responses for data science proposals.
Benefits
- Medical, dental, and vision insurance
- Health Savings Account (HSA) options
- 401(k) with 4% employer match
- Disability, life, and accident insurance
- Holidays and generous paid time off, including to vote and volunteer
- Paid parental, military, bereavement, and applicable federal/state sick leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
