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Mid-level Data Scientist - USCYBERCOM J2

Celestar Corporation

Canada · On-site Full-time Mid Level 3w ago

About the role

Position Details

  • Anticipated Award: July 2026
  • Anticipated Start: July 2026
  • Period of Performance: 1 Base Year + 4 Option Years
  • Location: National Capital Region (NCR)
  • Clearance Requirement: Active TS/SCI with a Current Poly (within 5 years)

About Us

Celestar Corporation is seeking a Mid‑level Data Scientist to support USCYBERCOM J2. The primary place of performance will be in the National Capital Region (NCR). If interested and you meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.

Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes:

  • Company‑paid employee and family dental insurance
  • Employee health insurance
  • Life insurance and disability coverage
  • 401(k) retirement plan with company matching
  • Paid holidays and personal time off

Responsibilities

  • Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
  • Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
  • Creates various ML‑based tools or processes, such as recommendation engines or automated lead scoring systems.
  • Performs statistical analysis, applies data mining techniques, and builds high‑quality prediction systems.
  • Documents Operating Instructions (OIs) for Command‑wide programs and initiatives as assigned by the Government.

Desired Skills and Experience

  • Data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau
  • Major data science languages, such as R and Python
  • Managing and merging of disparate data sources, preferably through R, Python, or SQL
  • Statistical analysis and data mining algorithms
  • Prior experience with large data Multi‑INT analytics, ML, and automated predictive analytics

Required Qualifications/Skills (Must Be Reflected on Your Resume)

  • A minimum of 8 years of experience leading large teams within this field, including leadership experience within the past 2 years, and a bachelor’s degree
  • Demonstrates in‑depth knowledge and understanding of the labor category activities required to meet mission requirements
  • Active TS/SCI with a Current Poly (within 5 years)

Equal Opportunity Employer

Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same‑sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.

Come on board with a company that values its employees!

Requirements

  • A minimum of 8 years of experience leading large teams within this field, including leadership experience within the past 2 years, and a bachelor’s degree.
  • Demonstrates in-depth knowledge and understanding of the labor category activities required to meet mission requirements.
  • Active TS/SCI with a Current Poly (within 5 years)

Responsibilities

  • Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
  • Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds Al tools that automate certain processes.
  • Creates various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
  • Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
  • Documents Operating Instructions (Ols) for Command wide programs and initiatives as assigned by the Government.

Benefits

dental insurancehealth insurancelife insurancedisability coverage401(k)-retirement planpaid holidayspersonal time off

Skills

AWS LambdaDockerMLPower BIPythonRSQLTableau

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