Data Scientist, Mid

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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 artifi cia l 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 statistics, data science, engineering, analytics, 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 So cia l Science or 4+ years of experience in statistics, data science, computer science, and so cia l 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 So cia l Science, Statistics, Data Science, or Computer Science preferred ;
Doctorate degree in Quantitative So cia l Science, Statistics, Data Science, or Computer Science a plus

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.

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 $77,600.00 to $ (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…