Sr. Data Scientist (Security Analytics & Automation)

Power3 Solutions; Linthicum (MD); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401k

Holidays & PTO

Career development

Referral bonuses

Job summary

Power3 Solutions in Linthicum Heights, MD is seeking a Sr. Data Scientist (Security Analytics & Automation) to help transform security evaluation processes into automated, intelligence-driven models. You will work on continuous monitoring and rapid decision making for critical systems.

You will leverage Python, ETL pipelines, and RMF workflows to enable scalable dataflows, dashboards, and analytics across projects and clients.

Qualifications

• Bachelor's in a quantitative field plus 2 years relevant experience; PhD can replace four years.
• 10 years analyzing datasets and developing analytics.
• 10 years programming in R, Python, SAS, or MATLAB.

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 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.

Skills

Python

R

SQL

SAS

MATLAB

Elasticsearch

RegEx

Machine learning

NLP

Data visualization

ETL pipelines

Education

Bachelor's in a quantitative field

PhD in quantitative field

Tools

Grafana

Graphite

InfluxDB

Jupyter

Spark

Job description

Sr. Data Scientist (Security Analytics & Automation)

• Linthicum Heights, MD

We solve difficult business, IT, and analytic problems by addressing the whole problem – not just the symptoms – using interdisciplinary approaches that are both practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand-picked teams that can meet clients' needs in any industry.Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space. We bring Public and Private, Civilian and Military expertise to every case.

We are hiring a Sr. Data Scientist (Security Analytics & Automation) to work in Linthicum Heights, MD. Position location is subjectto change based on central MD client's needs.

Required: TS/SCI with a Polygraph

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. Your 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.

Individual Capabilities/Experience Required:

• 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)


• 10 years analyzing datasets and developing analytics


• 10 years programming in R, Python, SAS, or MATLAB

Individual Capabilities/Experience 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)

We have all the PERKS!

You are our most valuable resource — your ambition, your knowledge, yourcreativity. We offer an industry-leading set of benefits to supplement your normalsalary compensation. We have you covered with flexible ways to balancework and home life, full health benefit premium coverage, and generouscontributions toward your retirement.

• Competitive health, dental, and vision plans with 100% paid premiums.


• 401k: We contribute 6% even if you don't!


• Time Off: 11 standard holidays, and 25 days of PTO


• Career Development: Get career counseling and individualized career development plans, including education and training.


• Employee referral bonuses for successful hires

We are anEqual Opportunity/Affirmative Action employer.

We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.