Capital Solutions GroupVerified Source

Data Scientist / Data Analytics Scientist

Onsite · Washington, District of Columbia
Posted August 12, 2026
payroll

Overview

Lead data-driven insights to shape business strategy. Own analytical modeling and statistical analysis for large datasets. Drive recommendations through clear communication. Analyze customer base subsets to uncover actionable intelligence. Foster cross-functional collaboration to translate mission needs into technical solutions.

What You'll Do7

  • 1Design Build Test Ship Optimize Debug Drive deliverables within 90 days
  • 2Develop scalable ETL pipelines using Spark Airflow and AWS
  • 3Implement predictive models leveraging Python and machine learning techniques
  • 4Collaborate with engineering teams to integrate analytics into operational workflows
  • 5Translate complex findings into actionable recommendations for non-technical stakeholders
  • 6Maintain data governance standards across diverse dataset structures
  • 7Ensure compliance with security clearance requirements and data handling protocols

Requirements11

  • 15+ years building ETL pipelines with Spark and Airflow
  • 23-5 seasons leading data science initiatives
  • 3CPC Card certification preferred
  • 45+ years working with AWS services
  • 5Strong proficiency in Python programming language
  • 6Understanding of Kubernetes for scalable computing environments
  • 7Experience with statistical modeling and inference techniques
  • 8Ability to derive insights from unstructured and semi-structured data sources
  • 9Knowledge of demand generation frameworks and B2B SaaS metrics
  • 10Background in cybersecurity clearance processes
  • 11Commitment to ethical AI practices and bias mitigation

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationWashington, District of Columbia

Required Skills

MathematicalComputationalStatisticalData management and curationData description and visualizationWorkflow and reproducibilityData modeling and assessmentDomain-specific considerationsProgramming
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