Sr. Data Scientist (Remote, 15 Yrs Req Exp)

Digital Strategy LLC · US

Spotted 2h agofulltime
Job description

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

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