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Steampunk

Federal software solutions delivering user-focused outcomes

Data Scientist

Applied Machine LearningUpdated on Nov 13
Full-timeMcLean, VA, USA$140k - $160k /yr

About the Job

Requirements

  • Ability to hold a position of public trust with the U.S. government.
  • Willingness to commute to Alexandria, Virginia two times per week.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field.
  • At least 5 years of industry experience developing machine learning and artificial intelligence solutions.
  • At least 3 years of direct experience in data modeling and data solution development.
  • Experience modeling structured and unstructured datasets.
  • Experience with exploratory data analysis.
  • Experience in feature engineering.
  • Experience in data visualization.
  • Experience with Python and SQL.
  • Experience with deep learning methodology and state-of-the-art libraries.
  • Knowledge of data collection methods, capabilities, and tasking processes.
  • Knowledge of Neo4j.
  • Knowledge of criminal justice, grants, or research arenas.
  • Ability to leverage multiple data management tools to organize relevant information and make decisions.

Responsibilities

  • Conduct exploratory data analysis to uncover trends, identify data quality issues, and determine modeling opportunities.
  • Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries.
  • Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance.
  • Evaluate models using appropriate statistical methods and performance metrics, document findings, and inform iterative improvements.
  • Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent.
  • Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate machine learning models into production environments or decision-support applications.
  • Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders.
  • Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback.
  • Maintain well-organized code, notebooks, documentation, and experiment histories to contribute to reproducibility and auditability.
  • Stay current with modern data science methodologies, machine learning techniques, data processing tools, and cloud-enabled analytics workflows.

About the Company

Steampunk

Federal software solutions delivering user-focused outcomes

Steampunk helps U.S. federal government agencies deliver digital programs and services. The company partners with government clients, using a startup-style, customer-centered delivery approach to design, develop, and deploy software and services that support mission goals. Its products and work are executed in close collaboration with clients, emphasizing rapid delivery and high-quality user experiences. Steampunk differentiates itself by focusing specifically on federal customers and by embedding client input at every step of the process, from planning through deployment, so outcomes meet user needs and mission requirements at speed. The overall goal is to produce reliable, usable solutions that achieve clear mission impacts for government programs.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Winston-Salem, NC
Founded
2002

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