Job Description

Location:
Washington,DC,US
Remote Work:
Hybrid
Job Number:
R0184587
Cyber Machine Learning Engineer

The Opportunity:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.

We have an opportunity for you to use your analytical skills to improve the public and private sector cybersecurity automation. You’ll work closely with your customer to understand their questions and needs and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in both the public and private sectors.

Join us. The world can’t wait.

You Have:

  • 2+ years of experience with machine learning engineering, data research, cyber security engineering, or data engineering

  • Experience with data-oriented tasks for cybersecurity or anti-fraud solutioning, including developing engineering analysis, machine learning algorithms, data models, or architecture strategy for cyber or fraud defense purposes

  • Experience with object-oriented programming languages, including C++, Java, Scala, or Python

  • Ability to obtain a security clearance

  • Bachelor's degree

Nice If You Have:

  • Experience in developing and supporting cybersecurity solutions with a focus on applied data science or machine learning

  • Experience with designing a technical solution and leading a team in the implementation of the technical design

  • Experience with public speaking and executive-level briefings

  • Experience with penetration testing data, advanced threat hunter, or leading Red and Blue teams

  • Experience with architecting and designing novel analytic methods and cutting-edge machine learning methodologies

  • Experience with developing and engineering data workflows to merge disparate data sources and draw data-driven insights

  • Experience in working with SIEM technologies, including Splunk or ElasticSearch

  • Ability to leverage a wide variety of data science capabilities and languages, analyze and resolve critical data issues using various methodologies, and ensure data integrity

  • Ability to oversee and optimize business opportunities aligned to strategic objectives

  • Master's degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Create Your Career: 

 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms. 

 

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time. 

 

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home. 

 

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $73,100.00 to $166,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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