Data Scientist

WarCollar Industries, LLC; Fort Meade (MD); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

PTO based on billable hours

401k matching

Job summary

WarCollar Industries, LLC seeks a skilled Data Scientist with AI/ML expertise to analyze large datasets and translate findings into strategic insights for cybersecurity applications. Proficiency in Python/SQL and data visualization is required.

You will develop models, perform advanced analytics, and collaborate across teams to deploy scalable solutions using Spark and cloud platforms. TS/SCI w/FS Polygraph clearance is required.

Qualifications

• TS/SCI w/FS Polygraph clearance required.
• Experience applying ML to large datasets.
• Experience with large-scale data processing (e.g., Spark, cloud data platforms).
• Strong data visualization capabilities using Tableau, Power BI, or Python libraries.
• Ability to translate complex data into strategic insights.

Responsibilities

• Develop ML models and deploy them.
• Process large datasets and perform predictive modeling.
• Create data visualizations and automated analytics workflows.
• Collaborate across teams to provide insights.

Skills

AI/ML experience

Data modeling

Statistical analysis

Data visualization

Collaborative skills

Tools

Python

SQL

Tableau

Power BI

Spark

Cloud platforms

Job description

• 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.
• 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

Job Description

• 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

About WarCollar Industries

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.

About us:

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.