Location: Remote / Hybrid (as permitted) within Washington Metro Area (60 miles)
Experience Level: Mid-Senior 8+ years)
Salary Range: $175-185K
Clearance:
Able to Obtain Public Trust
US Citizenship Required
Position Overview
World Services LLC, an IT engineering, solutions, and management consulting firm, is seeking an experienced
Data Scientist
to support a federal agency on an enterprise-wide digital transformation initiative.
The Data Scientist develops predictive and advanced analytical solutions using statistical and machine learning techniques, focusing on model development, experimentation, and insight generation. The role leverages curated, analytics-ready data from engineering-built platforms to evaluate outcomes and deliver actionable insights, without owning data platform architecture or CI/CD pipelines.
At World Services LLC, you'll work in a collaborative, people-first culture within a stable, mission-driven federal environment, building secure, resilient systems that support critical programs alongside experienced teams.
ROLE SUMMARY
The Data Scientist designs, develops, and evaluates statistical and machine learning models to solve complex analytical problems. Working with stakeholders, product teams, and data engineers, this role translates business questions into analytical approaches and communicates results to technical and non-technical audiences.
KEY RESPONSIBILITIES
Develop, train, and evaluate statistical and machine learning models.
Perform exploratory data analysis (EDA) to identify patterns and trends.
Design and implement feature engineering approaches.
Validate models using appropriate metrics and testing techniques.
Collaborate with data engineers to consume curated datasets and feature pipelines.
Translate business and mission problems into analytical solutions.
Communicate findings, assumptions, and results to stakeholders.
Support model lifecycle activities including documentation and monitoring.
Collaboration & Technical Leadership
Support production operations and issue resolution.
Produce technical documentation.
Align with the agency's data Program Management Office (PMO) related requirements and governance standards.
REQUIRED QUALIFICATIONS
5+ years of experience in data science or applied analytics roles.
Strong proficiency in Python and common data science libraries.
Experience with statistical modeling and machine learning algorithms.
Experience performing exploratory data analysis and feature engineering.
Ability to translate analytical results into actionable insights.
Experience working with large datasets in cloud or distributed environments.
PREFERRED QUALIFICATIONS
Experience with predictive or prescriptive analytics.
Familiarity with big data frameworks such as Spark.
Experience with model deployment, monitoring, or MLOps.
Experience supporting mission-critical or regulated environments.
Familiarity with data visualization tools such as Power BI or Tableau.
Pay: $175,000.00 - $185,000.00 per year
Benefits:
401(k)
Dental insurance
Health insurance
Paid time off
Work Location: Hybrid remote in Washington, DC 20593
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