Data Scientist, Mid at 631 Booz Allen Hamilton_United States — Washington, DC

Data Scientist, MidThe 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 leadership and analytical skills to improve a client's data science capability. You’ll work closely with your client to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help 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 building this capability.

Join us. The world can't wait.

You Have:

• 3+ years of experience in data science, engineering, analytics, statistics, or computer science fields
• Experience collaborating in teams
• Experience supporting DoW or IC clients
• Ability to perform testing and evaluation of AI/ML models
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree in Statistics, Data Science, Computer Science or Social Science, or 4+ years of experience in statistics, data science, computer science and social science in lieu of a degree

​Nice If You Have:

• Experience with GEOINT or LLMs
• Experience performing or supporting all-source analysis
• Possession of excellent verbal and written communication skills
• Possession of excellent interpersonal skills
• TS/SCI clearance with a polygraph
• Master's degree in Quantitative Social Science, Statistics, Data Science, or Computer Science preferred; Doctorate degree in Quantitative Social Science, Statistics, Data Science, or Computer Science a plus

Clearance:

Compensation

Identity Statement

Candidate AI Usage Policy

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination