Senior Data Scientist

Responsibilities

• Design, build, and deploy machine learning models and advanced analytical algorithms to support business objectives.
• Develop scalable data science solutions, from conceptualization to production-level implementation.
• Write clean, efficient, and maintainable code using programming languages such as (e.g., Python, Java).
• Conduct rigorous statistical analysis, including variability assessment, sampling error evaluation, inference, hypothesis testing, exploratory data analysis (EDA), and application of linear modeling techniques.
• Perform comprehensive data management activities such as data cleaning, transformation, mining, modeling, and quality assurance.
• Apply artificial intelligence concepts and modern machine learning techniques to solve complex business challenges.
• Develop and maintain end-to-end data analytics workflows, ensuring robust data flow architectures and efficient processing pipelines.
• Clearly communicate methodologies, insights, and recommendations to both technical and non-technical audiences through reports, presentations, and visualizations.

Requirements

• Bachelor’s degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related quantitative field.
• Minimum of Ten (10) years of relevant experience.
• Hands-on experience scripting in Python.
• Strong understanding of statistical methods, machine learning algorithms, and AI concepts.
• Experience with data engineering practices and analytics workflow development.
• Excellent problem-solving abilities and strong communication skills.

Security Clearance

A current government clearance, background investigation, and polygraph are required.

Benefits

Comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.