Reston, VA Contract Nov 20, 2025
Key Responsibilities
- Collect, clean, and preprocess large datasets from multiple sources.
- Apply statistical analysis and machine learning techniques to solve business problems.
- Build predictive models and algorithms to optimize processes and improve outcomes.
- Develop dashboards and visualizations to communicate insights effectively.
- Collaborate with cross-functional teams (Product, Engineering, Risk, Marketing) to identify opportunities for leveraging data.
- Ensure data integrity, security, and compliance with organizational standards.
- Stay current with emerging technologies and best practices in data science and AI.
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Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
- Strong proficiency in Python, R, SQL, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical modeling, hypothesis testing, and data visualization.
- Experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP).
- Excellent problem-solving skills and ability to communicate complex concepts clearly.
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Preferred Qualifications
- Experience in risk modeling, financial services, or product analytics.
- Knowledge of MLOps and deploying models in production.
- Familiarity with data governance and compliance frameworks.
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Soft Skills
- Strong analytical thinking and attention to detail.
- Ability to work independently and in a team environment.
- Effective communication and stakeholder management skills.
