Job Description
Join to apply for the Data Scientist role at BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD
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Join to apply for the Data Scientist role at BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD
The Opportunity
As a data scientist, youre excited at the prospect of unlocking the secrets held by a data set, and youre 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 sectorsfrom fraud detection to cancer research to national intelligencewe need you to help find the answers in the data.
Remote Work
No
Job Number R0221949
Location:
McLean,VA,US
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Data Scientist
The Opportunity As a data scientist, youre excited at the prospect of unlocking the secrets held by a data set, and youre 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 sectorsfrom fraud detection to cancer research to national intelligencewe need you to help find the answers in the data.
On our team, youll use your leadership skills and data science expertise to create real-world impact. Youll 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. Youll guide teammates and lead the development of algorithms and systems. Youll 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, youll 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 cant wait.
You Have: - 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 5+ years of experience analyzing structured and unstructured data
- 3+ years of experience with statistical and general-purpose programming languages for data analysis
- Experience wrangling data from disparate databases and APIs for analysis
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Experience leading the development of solutions to complex problems
- Experience with natural language processing, text mining, or machine learning techniques
- TS/SCI clearance with a polygraph
- Bachelors 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 with 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 Allens 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 individuals 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 Allens 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, youll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, youll 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.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Part-time
Job function
Job function
Engineering and Information Technology -
Industries
Business Consulting and Services
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Full time, Contract work, Local area, Remote work,