Note: The job is a remote job and is open to candidates in USA. 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. They are seeking a Senior Data Scientist to identify and solve business problems using statistical modeling, machine learning, AI, operations research, and data mining. The selected candidate will own high-impact data science projects and coordinate the efforts of other data scientists.
Responsibilities
- 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
Skills
- 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
- 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
Company Overview