Senior Data Scientist (AWS, AI, ML)

Role Overview

The selected candidate will own high-impact data science projects from inception through completion, contribute technically throughout, refine product requirements with Product teams, coordinate the efforts of other data scientists, and interface with stakeholders across the organization.

What You Will Do

Identify and solve complex business problems using statistical modeling, machine learning, AI, operations research, and data mining techniques. Own high-impact data science projects end-to-end, from inception through production deployment.

Why It Might Be a Fit

Candidates must reside in the DC, MD, or VA area or a touching state; travel expenses will not be covered. The selected candidate will have the opportunity to work on high-impact data science projects and contribute to the development of AI, ML, and statistical models.

Requirements

• 8+ years of experience as a Data Scientist with both model building and deployment experience
• Advanced Python and SQL proficiency
• Solid hands-on knowledge of AWS SageMaker, Bedrock, Kendra, and Lambda (required)
• Ability to write production-ready code including documentation and unit tests
• Experience with ML methods including k-nearest neighbors, random forests, and ensemble methods
• Strong AI/ML expertise across Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling, and Clustering
• Deep knowledge of machine learning fundamentals, data mining, and statistical predictive modeling
• Proficiency with Python ML and data pre-processing libraries — Scikit-Learn, NumPy, Pandas
• Strong software prototyping and engineering skills across Python, R, and Spark/Scala
• Ability to initiate and drive projects to completion with minimal guidance
• Strong communication skills for presenting analysis results clearly and effectively

Benefits

• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness program
• Visa/relocation assistance
• Remote flexibility
• Bonus/commission
• Paid holidays