Data Scientist, Senior in Laurel
Role details
Job location
Tech stack
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 intelligence-we need you to help find the answers in the data.
Requirements
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5+ years of experience using data science programming , such as Python or R \n
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Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage \n
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Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket \n
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Knowledge of statistical analysis, predictive modeling, and machine learning methods \n
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Ability to design and develop automated analytic software, techniques, and algorithms \n
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Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products \n
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Ability to generate data visualizations with tools, such as Kibana, Tableau, or Power BI \n
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TS/SCI clearance \n
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Bachelor's degree and 5+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree \n, * Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines \n
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Experience with intelligence or operations analysis in the DoD or Intelligence Community \n
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Experience developing and implementing ontological frameworks \n
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Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL \n
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Experience working with deep learning and AI frameworks, including PyTorch, TensorFlow, and Keras \n
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Experience working with Retrieval-Augmented (RAG) and Large Models (LLM) \n
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Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL \n
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Experience with visualization packages, including Plotly, Seaborn, or ggplot2 \n
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Knowledge of DevOps, including CI/CD pipelines and Jenkins \n
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TS/SCI clearance with a polygraph \n
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, , 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.
Statement
As part of the hiring process, we will ask you to complete an verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your 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. \n
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\nRemote: 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. \n
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\nHybrid: 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. \n
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\nOnsite: 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. \n
\n Commitment to Non-Discrimination