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 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:
- 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
- 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 with polygraph 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 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.
Candidate AI Usage Policy
- 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.
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.