Senior AI/ML Data Scientist (Remote; Onsite DC Metro)

Glint Tech Solutions; Reston (VA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Glint Tech Solutions is seeking a Senior Data Scientist to tackle high-impact business problems for a federal healthcare client. You will own end-to-end data science projects, build and deploy ML solutions on AWS, and guide other data scientists while interfacing with stakeholders across departments.

The role is mostly remote with onsite visits 1–2 times per month in the DC Metro area; candidates must reside in DC, MD, or VA.

Qualifications

• 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.
• 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

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

Python

SQL

Spark/Scala

Data Visualization

AWS SageMaker

AWS Bedrock

AWS Kendra

AWS Lambda

scikit-learn

NumPy

Pandas

R

Education

Degree preferred; 4-year substitution allowed

Tools

SageMaker

Bedrock

Kendra

Lambda

Job description

Glint Tech Solutions is seeking a Senior Data Scientist to tackle high-impact business problems for a federal healthcare client. You will own end-to-end data science projects, build and deploy ML solutions on AWS, and guide other data scientists while interfacing with stakeholders across departments.

The role is mostly remote with onsite visits 1–2 times per month in the DC Metro area; candidates must reside in DC, MD, or VA.