Data Scientist

Overview

We are looking for 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 are looking for a more than just a “Data Scientist”, but 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.
• You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications

• 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, research arenas
• Ability to leverage multiple data management tools to organize relevant information and make decisions