Job Description

Location:
Fort Meade,MD,US
Remote Work:
No
Job Number:
R0185270
Data Scientist, Mid

The Opportunity:

Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when it’s gathered from disparate sources and organized. As a data scientist, you'll have the chance to develop and deploy the pipelines and platforms that make this data meaningful. What’s more, you’ll have the chance to grow Booz Allen’s MlOps and DataOps capabilities while working with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers in a fast-paced, agile environment. We’re looking for someone like you to ensure our clients meet their mission by supporting national security.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with DoD and IC clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Ready to drive innovation using cutting-edge data tools and techniques?  


Join us. The world can’t wait.

You Have:  

  • 3+ years of experience with data science, data analytics, machine learning engineering, or data engineering

  • 2+ years of experience working in the DoD and IC

  • Experience with developing predictive data models, quantitative analysis, and visualization of targeted data sources

  • Experience with programming languages, including Python, R, and SQL

  • Experience working with structured, unstructured, or semi-structured data and conducting analysis

  • Experience with business intelligence tools, including Tableau or Microsoft Power BI

  • Experience leading the development of solutions to complex programs

  • Active TS/SCI clearance; willingness to take a polygraph exam

  • Bachelor's degree

Nice If You Have:  

  • 8+ years of experience with data science, data analytics, machine learning engineering, or data engineering

  • Experience as a Data Scientist supporting CCMD or component organizations

  • Knowledge of intelligence disciplines, including SIGINT, HUMINT, GEOINT, and OSINT

  • Possesses excellent verbal and written communication skills, including confidently interfacing with leadership

  • 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; TS/SCI clearance is required.


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 build 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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