Booz Allen Hamilton
Data Scientist • R0229726
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.
Responsibilities On our team, you’ll use your analytical skills and data science knowledge to create real‑world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
Qualifications
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
2+ years of experience with exploratory data analysis using programming languages, including SQL and Python
Experience analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
Ability to explain data insights clearly to both technical and non‑technical stakeholders
TS/SCI clearance
Bachelor’s degree
Nice to Have
2+ years of experience with visualization software, including Qlik or Tableau
2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
2+ years of experience with Machine Learning, AI, or NLP
Experience with translating complex data into a compelling narrative that informs and influences a specific audience
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
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 Our compensation 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). Salary range is just one component of Booz Allen’s total compensation package. 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, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll 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.
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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.
Responsibilities On our team, you’ll use your analytical skills and data science knowledge to create real‑world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
Qualifications
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
2+ years of experience with exploratory data analysis using programming languages, including SQL and Python
Experience analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
Ability to explain data insights clearly to both technical and non‑technical stakeholders
TS/SCI clearance
Bachelor’s degree
Nice to Have
2+ years of experience with visualization software, including Qlik or Tableau
2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
2+ years of experience with Machine Learning, AI, or NLP
Experience with translating complex data into a compelling narrative that informs and influences a specific audience
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
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 Our compensation 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). Salary range is just one component of Booz Allen’s total compensation package. 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, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll 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.
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