Data Scientist

About the role

We are looking for a seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. We seek a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Responsibilities

• Conduct exploratory data analysis (EDA) 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, documenting findings and informing 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 ML 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.
• Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories.
• Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows.
• Contribute to the growth of our AI & Data Exploitation Practice.

Requirements

• Ability to hold a position of public trust with the US government.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field.
• 5+ years industry experience developing ML/AI solutions and a passion for solving complex problems.
• 3+ years direct experience in Data Modeling and Data Solution Development.
• Experience modeling on structured and unstructured data sets.
• 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 process.
• 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.

About Steampunk

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health, and DoD sectors. Through our Human-Centered delivery methodology, we fundamentally change the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee-owned company, we focus on investing in our employees to enable them to do the greatest work of their careers—and rewarding them for outstanding contributions to our growth.

Pay

The projected compensation range for this position is $140,000 to $160,000 annually. Annual salary is just one aspect of Steampunk’s total compensation package for employees.