Job Description

Remote Work:
No
Job Number:
R0233210
Location:
Honolulu,HI,US
Data Scientist

The Opportunity:

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by machine learning and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data are being generated daily transforming the landscape of information operations while also creating new opportunities. As a Data Scientist at Booz Allen, you can help turn these complex data sets into solutions for global challenges.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their requirements and explore the right tools that will help them succeed. You will work to understand analytic and data requirements across the command, while also being responsible for visualizing data readiness statistics.

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. 

Join us. The world can't wait.

You Have:   

  • 2+ years of experience with data exploration, aggregation, analysis, and visualization

  • 2+ years of experience with statistical and general-purpose programming languages for data analysis

  • Experience in DoW networks, data platforms, and analytics environments

  • Ability to plan, develop, and organize regularly scheduled cadences with senior leadership to gather digital readiness requirements

  • Ability to prepare and brief findings to commanders or senior decision-makers 

  • Ability to provide feedback to senior leaders regarding digital readiness and system features

  • Secret clearance

  • Bachelor’s degree

Nice If You Have:   

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

  • Experience with Army and USARPAC data readiness and evaluation programs

  • Knowledge of supplemental data integration tools, including data specific tooling beyond initial qualifications

  • Knowledge of data policies, operations processes, procedures, and guidelines

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 $99,000.00 to $225,000.00 (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.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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