Job Description

Are you ready to make a meaningful impact with a company that values your technical ambition?

Join us and experience a company where your contributions truly make a difference!

Data Scientist III!

Active TS/SCI with Polygraph required

Description:

• Data Scientist to join a mission driven team.

In this role, you will help transform a traditionally manual system security evaluation process into an automated, efficient, and intelligence driven model. The work will directly support continuous monitoring, rapid decision making, and strengthened security across the full lifecycle of critical systems and projects.

Essential Duties and Responsibilities:

• Develop and enhance automated capabilities that replace manual security evaluation and authorization processes.
• Use Python to process, analyze, and validate security related data, ensuring systems and resources meet security requirements.
• Detect anomalies and outliers to assess progress through the Risk Management Framework (RMF) lifecycle.
• Identify system associations for resources based on various attributes and known system information.
• Design, build, and maintain ETL pipelines to collect and integrate data from multiple sources (network sensors, security tools, compliance databases).
• Transform and prepare data for reporting, analysis, and automated assessments.
• Support data engineering operations including data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights.
• Enable scalable, reliable dataflows that support continuous monitoring and RMF automation.

Required:

• 10 years analyzing datasets and developing analytics
• 10 years programming in R, Python, SAS, or MATLAB

Education:

• Bachelor's in a quantitative field (statistics, mathematics, operations research, engineering, or computer science)

-Plus 2 additional years of relevant experience (12 years total) (software/cloud development, data analysis, or analytics development) If no Masters

Degree

• OR a Bachelor's and Master's degree (or higher) in a quantitative field (statistics, mathematics, operations research, engineering, or computer science) with no additional years of experience.
• PhD can replace 4 years of the experience requirement (reducing to 6 years)

Desired:

• Strong background in statistical analysis.
• Experience developing, tuning, and testing predictive models.
• Proficiency in creating analytic dashboards, visualizations, and charts.
• Elasticsearch
• RegEx
• Machine learning
• Natural Language Processing
• Regression and predictive analysis
• Python
• MATLAB or R
• SQL or Mongodb
• Metric Database (Grafana/Graphite/InfluxDB)

Salary varies based on years of experience: $175,000-$192,000

A variety of factors can impact the final salary offered, including, but not limited to, geographic location, Federal Government contract labor categories and wage rates, relevant work experience, specialized skills and competencies, education, and certifications.

Can apply to https://flashtg.com/flash-technology-careers

or send resume to dmagruder@flashtg.com.

Some of the benefits offered to Flash employees include:

401(k) with 6% company match - VESTS IMMEDIATELY

Medical Insurance

Dental Insurance

Vision Insurance

Life and Disability Insurance

Complimentary Identity Theft Protection

Tuition Reimbursement

Paid Time Off

Referral bonuses

And more!

At Flash Technology Group, we truly care about our team, offering flexibility for a balanced life, competitive compensation, and a robust benefits package that supports you and your family. We prioritize well-being with premium healthcare, financial and family support, retirement planning, and ongoing learning. We’re committed to your growth and happiness!

Flash Technology Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other protected characteristic.