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Phase2 Technology

Data Scientist, Mid

washington, DC

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Job description

Job Number: R

Data Scientist, Mid

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 IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help 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, we need you to help find the answers in the data.

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 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.

Work with us as we use data science for good.

Join us. The world can't wait.

You Have

2+ years of experience using data science programming languages such as Python or R

Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage

Experience with version control tools, including git, GitLab, GitHub, or Bitbucket

Knowledge of statistical analysis, predictive modeling, and machine learning methods

Ability to design and develop automated analytic software, techniques, and algorithms

Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products

Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS

TS/SCI clearance

Bachelor's degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree

Nice If You Have

Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and the data and tools associated with these disciplines

Experience with intelligence or operations analysis in the DoD or Intelligence Community

Knowledge of DevOps, including CI/CD pipelines and Jenkins

TS/SCI clearance with a polygraph

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

Salary range: $77,600.00 to $176,000.00 annualized USD. Options include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. This posting will close within 90 days from the Posting Date.

Work Model

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

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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Worksite address

washington, DC, 20022, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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