Data Scientist

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 aerospace mission solutions. We are a cross-functional team of data scientists, data engineers, modelers, and web developers who analyze elegant solutions to complex data problems. You’ll work closely with your customer to understand their unique problems and constraints, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll analyze novel optimization algorithms, write scripts, build predictive analytics, automate processes, apply machine learning techniques, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military 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 to solve their challenges. Join us as we use data science for good in aerospace and defense. 

Join us. The world can’t wait.

You Have:

• 2+ years of experience in engineering, science, or data science

• Experience with scripting and programming, including R, Python, Matlab, or Ruby

• Experience with data visualization tools and dashboard development

• Knowledge of probability, statistics, and machine learning

• Secret clearance

• Bachelor’s degree

Nice If You Have:

• Experience with DevOps tools, including GitHub, JIRA, or Jenkins

• Experience with Agile fundamentals

• Experience with leading technical teams in a supervisor role

• Experience with dashboarding tools, including Tableau

• Experience with back-end frameworks, including Flask, Django, or FastAPI

• Experience with Extract, Transform, and Load

• Experience with Amazon Web Services

• Master’s degree in Engineering, CS, or Mathematics

Clearance:

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

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 $110,000.00 to $250,000.00 (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. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

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.