WarCollar Industries, LLC
Data Scientist
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Fort Meade, MD, USA
Work mode:
Onsite
Published on:
17 September 2026
What they need
- TS/SCI w/FS Polygraph required.
- Primary focus is having Al/ML experience to impact and assess large datasets.
- This includes data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations and Al/ML model development and deployment.
- Advanced statistical and predictive modeling.
- Large-scale data processing {e.g., Spark, cloud data platforms).
- Python and SQL proficiency.
- Data visualization using Tableau, Power Bl, or Python libraries. Automated analytics workflow development.
- Ability to translate complex data into strategic insights.
- Target knowledge or experience is a plus.
- Strong collaboration is preferred
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About WarCollar Industries About us: WarCollar Industries, LLC is a veteran-owned small business. We maintain a team of cybersecurity experts committed to protecting complicated data and distribution systems and providing decision makers with the most accurate assessment of residual risk possible. We work with our clients to solve the toughest challenges in the ever-evolving digital landscape. Services include network defense, computer network attack, secure network design, penetration testing and vulnerability assessment. WarCollar enables its clients to find, fix, stop, and ultimately solve cybersecurity problems across their entire enterprise.
WarCollar offers generous benefits including: Medical insurance premium coverage; PTO based on billable hours; federal holidays plus your birthday; matching 401k, education reimbursement plus paid training days; performance bonuses; referral bonuses; government shutdown protection; monthly team building events plus two major social events annually.
WarCollar Industries, LLC is an equal opportunity employer. WarCollar does not discriminate in employment based upon race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, status as a protected military veteran, or other non-merit factor.
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