Sr. Data Scientist

Glint Tech Solutions LLC; Reston (VA); Hybrid; USD 140,000 - 170,000; Full time

Job summary

Glint Tech Solutions LLC is seeking a Sr. Data Scientist to drive end-to-end data science initiatives for a federal healthcare insurance organization. The role emphasizes statistical modeling, ML/AI, and production deployment in a mostly remote setup with periodic onsite in Reston, VA.

You will lead projects, deploy solutions on AWS (SageMaker, Bedrock, Kendra, Lambda), and collaborate with product teams. Requires 8+ years in data science, strong Python/SQL, and a track record of delivering

Qualifications

• 8+ years of data science experience with both model building and deployment.
• Advanced Python and SQL proficiency.
• Experience with Spark/Scala for statistical analysis and ETL.
• Strong data visualization skills in Python.
• Hands-on AWS ML stack (SageMaker, Bedrock, Kendra, Lambda) required.
• Ability to write production-ready code with tests and documentation.
• Experience leading data science projects or teams is a plus.
• Expertise across ML/DL methods, forecasting, predictive modeling, clustering.

Responsibilities

• Own end-to-end data science projects from inception to production.
• Drive solutions to complex problems using ML, AI, OR, and data mining.
• Lead and coordinate other data scientists on shared projects.
• Deploy ML solutions on AWS and ensure production readiness.
• Collaborate with product and customers to explain ML results.

Skills

Statistical modeling

Machine learning

AI

Operations research

Data mining

Python

SQL

Spark/Scala

AWS SageMaker

AWS Bedrock

AWS Kendra

AWS Lambda

Scikit-Learn

NumPy

Pandas

R

Model deployment

Communication

Project leadership

Education

Degree preferred

Tools

SageMaker

Bedrock

Kendra

Lambda

Spark/Scala

Job description

Sr. Data Scientist role supporting a federal healthcare insurance organization, delivering end-to-end data science projects with statistical modeling, ML, and AI in a mostly remote setup.

Responsibilities

• Drive solutions to complex business problems using statistical modeling, machine learning, AI, operations research, and data mining
• Own high-impact data science projects end-to-end, from inception through production deployment
• Lead and coordinate other data scientists working on shared project efforts
• Build, train, and deploy ML solutions on AWS, using SageMaker, Bedrock, Kendra, and Lambda
• Develop production-ready code with documentation and unit tests
• Apply advanced ML approaches including k-nearest neighbors, random forests, and ensemble methods
• Partner with product teams and customers to explain and educate on AI, ML, and statistical models
• Collaborate with Product teams to refine requirements and interface with stakeholders across departments

Requirements

• 8+ years of experience as a Data Scientist with both model building and deployment experience
• Advanced Python and SQL proficiency
• Advanced proficiency in Python plus Spark/Scala for statistical analysis, data modeling, ML, and ETL
• Intermediate to advanced data visualization skills using Python
• Solid hands-on knowledge of AWS SageMaker, AWS Bedrock, AWS Kendra, and AWS Lambda (required)
• Ability to write production-ready code including documentation and unit tests
• Hands‑on 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

Location

• Mostly Remote
• Onsite requirements: 1x/month in Reston, VA (requirement also stated as 1–2 times/month in the DC Metro area)
• Candidates must reside in DC, MD, or VA

Project Details

• Mostly remote role with onsite requirements 1–2 times per month in the DC Metro area
• Travel expenses will not be covered
• Candidates must reside in the DC, MD, or VA area or a touching state

Technologies

• Python, SQL, Spark, Scala
• AWS SageMaker, AWS Bedrock, AWS Kendra, AWS Lambda
• Scikit-Learn, NumPy, Pandas
• R
• k-nearest neighbors, random forests, ensemble methods
• Deep learning, decision trees, neural networks

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