Machine Learning Engineer
1 month ago
Job Description
Location: McLean, VA, US
Remote Work: No
Job Number: R0188074
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 new opportunities. As an aspiring machine learning engineer, you know you can help 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 see machine learning turning data into actions and you want to be part of the team.
We have an opportunity for you to develop your analytical skills and establish your career in data science. You’ll join a rigorous training program that combines skills assessments, a comprehensive curriculum, functional mentorship, a capstone analytic challenge, and support to place you on your first data science project. You’ll learn how to write scripts to integrate data, conduct exploratory data analysis to discover hidden trends, apply machine learning to train predictive models, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers that inform decisions. Equipped with the foundational data science skills to accelerate your career, you’ll join a team and apply those skills to support our clients’ critical national security missions. Embrace the challenge and join us in driving change through machine learning. Join us. The world can’t wait.
You Have:- 2+ years of experience in data science, data engineering, or data analysis
- Experience with Python, R, or SQL
- TS/SCI clearance with a polygraph
- Bachelor's degree
- Experience with Tableau, Qlik, Power BI, or data visualization tools
- Experience with machine learning frameworks, including scikit-learn, Keras, TensorFlow, or Pytorch
- Experience with natural language processing (NLP), computer vision (CV), or deep learning (DL) model development
- Knowledge of GitHub or cloud environment, including AWS or Azure
- Master's degree in Data Science, Mathematics, Engineering, Physics, Statistics, or Computer Science
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Create Your Career: Grow With UsYour 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 BelongDiverse 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 build your community in no time.
Support Your Well-BeingOur 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 JourneyAt Booz Allen, we know our people are what propel us forward, and we value relationships most of all.
CompensationAt 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.
SalaryThe projected compensation range for this position is $73,100.00 to $166,000.00 (annualized USD).
Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
EEO CommitmentWe’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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