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Data Science Consultant; Hybrid

Job in Washington, District of Columbia, 20022, USA
Listing for: Summit
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 110000 USD Yearly USD 90000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Data Science Consultant (Hybrid)

Data Science Consultant / Senior Data Science Consultant

Location:

Washington, DC Area (Hybrid)

About Summit

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.

Role Overview

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.

Primary

Duties
  • Conduct exploratory data analysis to identify trends, patterns, anomalies, and actionable insights from complex data sets.
  • 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.
Minimum Technical 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., Git Hub Copilot) with strong Python and/or R programming skills.
  • 4+ years of programming experience 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.
Preferred Skills
  • 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., Git Hub Actions, Git Lab pipelines, Azure Dev Ops).
  • 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
Compensation and Benefits

Full‑Time Salary Range: $90,000–110,000.

We support our employees’ health, financial wellbeing, and work‑life balance. Full‑time employees are eligible for the following benefits:

  • Medical, dental, and vision insurance
  • Health Savings Account (HSA) options
  • 401(k) with 4% employer match
  • Disability, life, and accident insurance
  • Paid time off, including holidays, voting, volunteer, parental, military, bereavement, and applicable sick leave
Hiring Process

If selected to move forward, you will:

  • Participate in an initial behavioral phone screen with our recruiting team.
  • Meet with staff members for a technical and collaborative interview.
  • Complete a background check (if selected for further consideration).
Work Environment

Our office is located in…

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