Sr. Data Scientist (Remote, 15 Yrs Req Exp)
About this role
Employer-provided description, formatted for easier reading.
Digital Strategy LLC is seeking experienced **Senior Data Scientists** to support a federal client in developing advanced data, machine learning, and artificial intelligence solutions.
The role requires a hands\-on data scientist who can work directly with internal clients, modernize legacy analytical workloads, develop production\-ready data products, and help drive adoption of cloud, machine learning, large language model, and agentic AI technologies.
Candidates should currently have **VA access** and be able to obtain and maintain a **Suitability/Public Trust clearance**.
**Responsibilities**
- Consult with internal clients to understand operational needs and develop data products and analytical workflows supporting critical operations.
- Migrate and modernize legacy analytical workloads to cloud environments and demonstrate measurable operational improvements.
- Lead and support adoption of artificial intelligence capabilities that drive business outcomes.
- Develop reference use cases, tutorials, reference code, and training materials that help users adopt cloud technologies.
- Conduct office hours and hands\-on enablement sessions to increase client capabilities.
- Identify and prepare datasets for machine learning and advanced analytics.
- Develop, train, evaluate, and deploy machine learning models addressing complex business problems.
- Support the complete data science lifecycle from problem definition and dataset identification through development, deployment, and production use.
- Apply traditional machine learning techniques as well as large language models and agentic AI workflows.
**Required Qualifications**
- Bachelor’s degree in Engineering, Computer Science, Systems, Business, or another related scientific or technical discipline, plus 15\+ years of experience, or commensurate experience.
- Strong Python skills.
- Advanced SQL skills for data analysis.
- 2\+ years of experience working with leading cloud platforms such as Databricks, Azure, AWS, or GCP.
- Experience supporting the complete end\-to\-end data science lifecycle, including dataset identification, analysis, model development, deployment, and production operations.
- Experience with data science and machine learning tooling such as NumPy, SciPy, and MLflow.
- Strong understanding of traditional machine learning methods and toolsets.
- Working knowledge of large language models and agentic AI workflows.
- Ability to obtain and maintain a Suitability/Public Trust clearance.
- Current VA access.
**Preferred Qualifications**
- 5\+ years of data scientist experience with multiple solutions or products deployed into operational environments.
- 2\+ years of experience developing dashboards, reports, and other visualized insights supporting operational requirements.
- Experience using R, Stata, or SAS.
- Experience refactoring R, Stata, or SAS applications and analytical codebases into Python.
- Experience deploying solutions that leverage large language models or AI agents.
**Technical Environment**
Python, SQL, Databricks, Azure, AWS, GCP, NumPy, SciPy, MLflow, machine learning frameworks, large language models, agentic AI, dashboards, reporting tools, R, Stata, and SAS.
**About Digital Strategy LLC**
Digital Strategy LLC is a federal consulting firm supporting government clients with data, analytics, application development, technology modernization, and program delivery solutions.
Pay: $115,000\. 00 \- $125,000\. 00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Retirement plan
- Vision insurance
Application Question(s):
- Current VA Access or able to obtain and maintain a Suitability/Public Trust clearance.
- 15\+ years relevant experience
- U.S. Resident or Citizen
Experience:
- Databricks/Azure/AWS/GCP: 2 years (Required)
- End\-to\-end data science: 2 years (Required)
- Production machine learning: 2 years (Required)
- NumPy/SciPy/MLflow: 2 years (Required)
Work Location: Remote