Sr. Data Scientist

• 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
• Lead and coordinate the efforts of other data scientists contributing to shared projects
• Build, train, and deploy ML solutions using AWS services including SageMaker, Bedrock, Kendra, and Lambda
• Write production-ready code including proper documentation and unit tests
• Apply advanced machine learning methods including k-nearest neighbors, random forests, and ensemble methods
• Communicate across product teams and with customers to educate on AI, ML, and statistical models
• Refine product requirements in collaboration with Product teams and interface with stakeholders across departments

• 8+ years of experience as a Data Scientist with both model building and deployment experience
• Advanced Python and SQL proficiency
• Advanced proficiency in Python and Spark/Scala for statistical analysis, data modeling, ML, and ETL processes
• Intermediate to advanced data visualization skills using Python
• 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
• Degree preferred; 4 additional years of experience may substitute for a degree

Nice-to-Have Skills

• Experience with Agentic AI
• Familiarity with statistical packages such as R, MATLAB, SPSS, SAS, or Stata
• Proficiency with healthcare analytics and data structures
• Experience with big data technologies, ETL, statistics, causal inference, and simulation
• Experience with large data sets and distributed computing (Hive/Hadoop)
• Prior experience leading data science projects or teams independently

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.