You will own the end-to-end data science lifecycle, from statistical modeling to deployment, for complex government missions.
Responsibilities
- Build and evaluate supervised (classification, regression) and unsupervised learning models, including GLM, logistic regression, and time series analysis.
- Perform advanced statistical analysis and data wrangling using R or Python to uncover relationships in large datasets.
- Develop data visualization and documentation that clearly communicates complex technical concepts to diverse audiences.
- Manage multiple project tasks simultaneously with high accuracy, prioritizing deliverables in a timely manner.
- Integrate data solutions into software development processes and support DoD/VA mission requirements.
Required Skills
- 3+ years of experience in statistical modeling, specifically advanced classification and regression techniques.
- 3+ years of professional proficiency in R or Python for data wrangling and model building.
- Experience with SQL or Spark SQL and basic database design.
- Hands-on experience with generalized linear/multilinear regression, logistic/multinomial regression, clustering, and dimension reduction.
- Cloud project work experience using Google Cloud, AWS, and/or Azure.
- Top Secret security clearance.
- Bachelor’s degree (Any Graduate).
Preferred Skills
- AWS or Google Cloud Professional/Specialty Certification (or ability to obtain).
- Experience with supply chain management data systems (ERP, TMS, WMS).
- Consulting experience and proficiency in interfacing with software development processes.