Data Scientist with Active TS/SCI and 5 Days Onsite

1 week ago

Arlington, United States Swingtech Full time
Job DescriptionJob Description

Position Title: Data Scientist (Subject Matter Expert)

Location: Washington, DC (Onsite, 5 days a week)

POSITION TYPE: Full Time-W2-40/Hours/week

Top Secret (TS) Sensitive Compartmented Information (SCI)

About Swingtech Consulting, Inc.

Swingtech Consulting, Inc. provides technology and management consulting services for the federal, state, and local government. Our team is comprised of skilled, certified consultants that help clients achieve success with effective, created, and rapidly executed solutions. We are rapidly growing and are always looking for intelligent and motivated people to join our team.

We are seeking a highly experienced and innovative Data Scientist to join our team as a Subject Matter Expert (SME) in Washington, DC. This role is critical to supporting intelligence missions by leveraging advanced data analytics, machine learning, and AI techniques to derive actionable insights from complex datasets. As a recognized leader in the field, the Data Scientist SME will play a pivotal role in guiding the development and implementation of data-driven strategies. Responsibilities & other details are listed below:

RESPONSIBILITIES:

  • Lead the application of data analytics, data engineering, data mining, and predictive analysis to complex intelligence datasets, providing critical insights and recommendations.
  • Design and implement machine learning models and AI tools that automate and enhance data processing, analysis, and decision-making processes.
  • Conduct deep exploratory analysis of large, multi-source intelligence datasets to uncover trends, patterns, and actionable intelligence.
  • Develop and refine AI-based tools and algorithms, such as recommendation engines and predictive analytics systems, to support mission objectives.
  • Utilize advanced data visualization techniques and tools like Python, R, and Tableau to present complex data in a clear and actionable format for stakeholders.
  • Work closely with cross-functional teams, including data engineers, analysts, and intelligence officers, to ensure the effective integration of data science methodologies into broader mission objectives.
  • Provide strategic advice and technical guidance on the latest developments in data science, machine learning, and AI to drive innovation and enhance operational capabilities.

ELIGIBILITY & QUALIFICATIONS:

  • Master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
  • Extensive experience (typically over 10 years) in data science, with a focus on applying advanced analytics and machine learning in intelligence or defense environments.
  • Expert-level proficiency in data science languages (e.g., Python, R), machine learning frameworks, data mining algorithms, and data visualization tools.
  • Demonstrated ability to lead complex projects, mentor junior staff, and provide thought leadership in data science and analytics.
  • Strong understanding of multi-INT analytics, AI ethics, and data governance.
  • Proven track record of developing and deploying AI/ML tools that have significantly impacted mission outcomes.
  • Must possess an active Top Secret (TS) SCI clearance.

BENEFITS SUMMARY

  • 15 PTO days
  • 11 paid holidays
  • Medical Insurance with – 3 options (HSA with $600 Employer Contribution).
  • Dental Insurance with no age limit orthodonture.
  • Vision Insurance through EyeMed in and out of network coverage.
  • Short Term and Long-Term Disability coverage with 100% premium support,
  • Life insurance and AD&D with 100% premium support
  • Supplemental Life Insurance
  • Critical Care and Accident Insurance availability
  • Pet Insurance through Nationwide
  • Employee Assistance Program
  • 401k with enrollment from day one. 4% deferral by company.
  • $1500 Annual Training Budget
  • $1500 Referral bonus
  • Eligibility for annual merit and discretionary bonus
  • Flexible work arrangements

Equal Opportunity Employer Minority/Female/Veterans/Disabled

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