Cyber Analytics and ML Developer

Cyber Analytics and Machine Learning Developer

Job Number: R0200606

About the Role

Join Booz Allen as a Cyber Analytics and ML Developer, where you’ll architect, develop, and operationalize software solutions that perform large-scale cyber data analytics. You will apply advanced consulting skills, extensive technical expertise, and industry knowledge to develop innovative solutions to complex problems. You’ll mentor and potentially supervise team members, working independently and guiding the team without considerable direction.

Key Responsibilities

• Model Development: Architect and deploy models using tools like Spark, Presto, XGBoost, TensorFlow, and PyTorch. Enhance fraud detection models to protect millions of users.
• Feature Engineering: Propose new feature ideas, design real-time data pipelines, and integrate new signals into ML pipelines.
• Model Integration: Incorporate new models into Stripe’s core payment flow.
• Cross-Functional Collaboration: Work with data science, product management, infrastructure, and risk teams to execute projects.
• Code Quality: Ensure engineering outcomes meet high standards in code quality, system design, and scalability.
• Mentorship: Mentor junior engineers to help them grow.
• Innovation: Propose and implement innovative product ideas to reduce costs and combat fraud at Stripe.

Basic Qualifications

• 4+ years of experience in machine learning engineering, data research, or data engineering.
• Experience in cybersecurity or anti-fraud solutions, including developing engineering analysis, ML algorithms, data models, or architecture strategy for cyber or fraud defense.
• Proficiency in programming languages like Java, Scala, or Python.
• Ability to obtain a security clearance.
• Bachelor’s degree.

Additional Qualifications

• Experience in developing and supporting cybersecurity solutions with data science or ML.
• Experience designing technical solutions and leading a team in implementation.
• Experience with penetration testing data, advanced threat hunting, or leading Red and Blue teams.
• Experience in architecting and designing novel analytic methods and cutting-edge ML methodologies.
• Experience in developing and engineering data workflows to merge disparate data sources and derive data-driven insights.
• Familiarity with SIEM technologies like Splunk or Elasticsearch.
• Ability to leverage various data science capabilities and languages, analyze and resolve critical data issues, and ensure data integrity.
• Master’s degree is a plus.

Clearance

Applicants selected will undergo a security investigation and must meet eligibility requirements for classified information access.

Create Your Career

Grow With Us
We value your growth and offer numerous opportunities for professional and leadership development, including upskilling programs, tuition reimbursement, mentoring, and networking.

A Place Where You Belong
Booz Allen fosters a culture of respect, equity, and opportunity. We encourage diverse perspectives, allowing you to bring your whole self to work. Join our various business resource groups to build your community quickly.

Support Your Well-Being
Our benefits package includes wellness programs, HSA contributions, paid holidays, parental leave, a generous 401(k) match, and more. We support flexible schedules and remote or hybrid work locations, helping you achieve a balanced life.

Your Candidate Journey
We value our people and relationships. We’ve compiled resources to guide you through your journey as a candidate with us.

Compensation

Salary Range: $84,600 – $193,000 annually (USD).

Additional benefits include equity, company bonuses, 401(k) plan, medical, dental, and vision benefits, and wellness stipends.

Work Model

Our flexible work culture prioritizes collaboration, whether in person or remotely. Depending on the role, you may work from a Booz Allen office or a client site.

EEO Commitment
Booz Allen is an equal employment opportunity/affirmative action employer. We empower our people to drive change, regardless of race, color, ethnicity, religion, sex, national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, or any other protected status by law.

If you are a seasoned ML developer looking to make a significant impact in cybersecurity, apply now to join Booz Allen and take your career to the next level!