landing_page-logo
TOMORROW HIRE logo

Data Scientist / Architect

TOMORROW HIREMcLean, VA
Apply

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Job Description

We are seeking an experienced and dedicated Data Scientist/Architect to support a high-impact mission in McLean, VA. This role demands a technically skilled professional with deep expertise in data modeling, structured data manipulation, and mission-driven data analysis. The ideal candidate will demonstrate a strong background in data architecture and data science principles, supporting the transformation of raw data into actionable intelligence that drives mission success.

Primary Responsibilities:

  • Design and maintain robust data models that support complex analytic and operational requirements.
  • Engineer scalable data solutions using one or more of the following languages: ECL, SQL, Python/Spark, or Java.
  • Analyze highly structured datasets, managing data across multiple tables, data types, and disparate sources to optimize usability.
  • Perform deep-dive explorations of datasets to evaluate quality, structure, and interconnectivity for mission-focused enhancements.
  • Collaborate closely with mission stakeholders to understand data needs, advise on best practices, and translate requirements into technical solutions.
  • Develop strategies to improve data accessibility, integrity, and scalability within secure environments.
  • Lead efforts in data transformation, harmonization, and governance to ensure high-quality outputs and compliance with mission requirements.

Requirements

Minimum Qualifications:

  • 5+ years of experience in data modeling, data architecture, or data science
  • Extensive programming experience in one or more of the following: ECL, SQL, Python/Spark, or Java.
  • Proven experience working with structured data, including table relationships, data types, and data integration from diverse sources.
  • Demonstrated ability to transform raw data into structured datasets that meet operational and analytical needs.
  • Proficient in analyzing complex datasets for quality, interconnectivity, and alignment with mission objectives.
  • Excellent communication skills with the ability to explain complex data-related concepts to both technical and non-technical audiences.
  • Bachelor of Science degree in Computer Science, Engineering, or related field, or equivalent professional experience.

Preferred Qualifications:

  • Experience with HPCC Systems and ECL for high-performance computing environments.
  • Prior experience supporting federal or intelligence community missions.
  • Familiarity with distributed data systems and modern data platforms.
  • Expertise in data governance, data quality frameworks, and lifecycle management.

Eligibility:

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Active TS/SCI with Full Scope Polygraph (FSP) clearance is required for this role.

Benefits

Compensation:

Salary for this position is determined by various factors, including but not limited to location, the candidate’s particular combination of knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
Salary Range: $225,000 – $250,000

Benefits:

Our client offers a comprehensive and competitive benefits package, which includes:

  • 100% Company-Paid Health Insurance: Complete coverage for medical, dental, and vision premiums for employees and their dependents through United Healthcare and Guardian.
  • Fully Paid Protection Plans: Life insurance, short-term disability, and long-term disability provided at no cost to the employee.
  • 401(k) Retirement Contribution: A 15% salary contribution paid bi-monthly through Guideline, with full vesting from day one.
  • Paid Time Off: 200 hours of annual PTO, accrued per pay period, in addition to 11 federal holidays.
  • Incentive Bonuses: Recruitment and business development bonuses to reward contributions to company growth and success.