JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)
Guide the successful completion of major programs and may function in a project leadership role.
Develop data-driven solutions to unusually complex business challenges.
Utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex data and deliver recommendations for business and analytic decisions.
Evaluate the effectiveness and accuracy of new data sources and gathering techniques.
Use predictive modeling to increase and optimize customer experience, efficiencies, process improvements, and other business outcomes.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Design, research, and develop highly advanced processes, which may result in new product/business opportunities for the company.
Perform exploratory data analysis (EDA) on structured, semi-structured, and unstructured data including CAI and PAI sources.
Support ML model development and Python-based analytics, including entity resolution and applied statistics.
Assist with API data integrations, containerization workflows, and development of Streamlit-based GUIs.
REQUIRED SKILLS
Proficient in Python and Bash, including API development and data manipulation.
Demonstrated experience with SQL and large-scale systems such as PostgreSQL, Hive, or Trino.
Strong understanding of ML concepts and familiarity with Flask or FastAPI.
WHAT YOU’LL NEED TO SUCCEED
Clearance: Current DoW TS/SCI Clearance required.
Experience: 10+ years of related experience, including academic or internship-based data science work.
Education: Master’s degree in Computer Science, Statistics, Engineering, Data Science, or related field.
Certifications: None required; cloud or ML-related certifications preferred.
Role requirements: On-Site 5 days
Due to US Government Contract Requirements, only US Citizens are eligible for this role