Data Scientist

Booz Allen Hamilton Inc.
McLean, VA, United States
5 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Part-time / full-time
Compensation
$99,000.0 - $225,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Data Cleansing Data Mining Data Visualization Distributed Data Store Fraud Prevention and Detection Apache Hadoop MapReduce Python (Programming Language) Machine Learning
+6 more
Natural Language Processing Standard Sql Text Mining Unstructured Data Large Language Models Apache Spark

Job description

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.

Requirements

  • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • Experience analyzing structured and unstructured data
  • Experience with statistical or general-purpose programming languages for data analysis
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Experience leading the development of solutions to complex problems
  • Ability to comprehend natural language processing, text mining, or machine learning techniques
  • TS/SCI clearance with a polygraph
  • Bachelor’s degree

Nice If You Have:

  • Experience in the development of algorithms leveraging Python and SQL
  • Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self-hosting LLMs, fine-tuning LLMs, or implementing Model Context Protocol
  • Experience developing production-quality machine learning models or pipelines
  • Experience with distributed data or computing frameworks such as Apache Spark, Hadoop MapReduce, or HPCC ECL
  • Experience with Python data science and visualization packages

Benefits & conditions

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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

About the company

  • Investors
  • Newsroom
  • Contracting
  • It’s In Our Code, Driven by purpose. Powered by people. Built to solve the nation’s toughest challenges., AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • 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., Booz Allen is an advanced technology company. We build commercial-grade products and solutions for America’s most critical defense, civil, and national security priorities.

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Apply on careers.boozallen.com
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