Data Scientist
About The Position
We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role requires strong analytical and modeling skills, hands-on experience with ML frameworks, and the ability to collaborate across engineering, data, and product teams. The Data Scientist will contribute to the full lifecycle of model development, from data exploration and feature engineering to model training, evaluation, and deployment, while supporting the articulation of insights and recommendations to technical and non-technical stakeholders.
Requirements
- Ability to hold a position of public trust with the U.S. government.
- Bachelor’s Degree and 5 years of experience OR Masters Degree and 3 years of experience OR no degree and 9 years of experience
- 2+ years of experience building and evaluating machine learning models or performing advanced analytics.
- Proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib/Seaborn).
- Strong analytical and statistical skills
- Experience with operational datasets (contact center preferred)
- SQL, Python, Excel, PowerBI and data visualization experience
- Ability to clearly communicate insights to stakeholders
Responsibilities
- Analyze contact center data (call volume, performance, trends)
- Develop KPIs, metrics, and performance insights
- Support decision-making with actionable analytics
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees
