Summit Consulting

Data Science Consultant (Hybrid)

Summit Consulting$90K — $110K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • U.S. citizenship; ability to obtain Public Trust clearance
  • 5+ years total experience in data science, including data preprocessing and visualization
  • 4+ years programming in Python and/or R
  • 2+ years consulting experience with project management skills
  • Experience developing analytics in cloud environments (AWS or Azure)
  • Experience with version control (e.g., Git)
  • Bachelor's degree in a relevant field

Responsibilities

  • Conduct exploratory data analysis to identify actionable insights from datasets
  • Translate ambiguous business questions into structured analytical approaches
  • Develop data visualizations and communicate findings to diverse audiences
  • Apply statistical methods and machine learning techniques to business problems
  • Rapidly investigate emerging business questions through data analysis
  • Design scalable analytics and data engineering workflows
  • Mentor junior staff in data science best practices

Benefits

  • Medical, dental, and vision insurance
  • Health Savings Account (HSA) options
  • 401(k) with 4% employer match
  • Disability, life, and accident insurance
  • Generous paid time off, including to vote and volunteer
  • Paid parental, military, bereavement, and sick leave
Full Job Description
Data Science Consultant

Location
  • Washington, DC Area (Hybrid)


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 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.


Minimum Technical Requirements
  • 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.


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. 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


Compensation and Benefits

Full-Time Salary Range: $90,000-110,000

This range reflects our market-based pay structure. Individual compensation is determined by factors including business needs, local market conditions, internal equity, and candidate qualifications (skills, education, experience).

We support our employees' health, financial well-being, and work-life balance. Full-time employees are eligible for:
  • 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


Our 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 in the heart of Washington, DC's Chinatown neighborhood, with convenient access to public transportation. We operate in a hybrid model and provide an integration partner to support your onboarding and professional development.

This position may require 2-3 days per week on site with our client in Washington, DC.

How to Apply

To ensure your application is reviewed, submit your résumé directly through our website at:

Please do not email résumés.

About Summit Consulting

Summit Consulting LLC is a management consulting firm that provides data analytics, performance management, and compliance support services to federal agencies, state and local governments, and private sector organizations. The company was founded in 2003 and is headquartered in Reston, Virginia. Summit Consulting has a team of experienced professionals who specialize in data analysis, program evaluation, and statistical modeling. The company's clients include the Department of Justice, the Department of Labor, and the Department of Health and Human Services.
Learn more about Summit Consulting
Size
300 employees
Industry
Net Income
$2.5 million
Founded
2003
5 Year Trend
+25%
Revenue
$25 million

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