Booz Allen Hamilton
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.
Job Number: R0231461
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. Work with us as we use data science for good.
You Have:
2+ years of experience using Databricks
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
2+ years of experience with statistical and general‑purpose programming languages for data analysis
Experience analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
Knowledge of text mining, Machine Learning, Artificial Intelligence, or Natural Language Processing
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree
Nice To Have:
2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
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 aviation, geospatial, and weather datasets
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Master’s degree
Vetting Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation Salary range for this position is $77,600.00 to $176,000.00 (annualized USD). This range reflects typical compensation and is one component of Booz Allen’s total compensation package, which includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.
Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. Booz Allen reserves the right to take your picture to verify your identity and prevent fraud.
Work Model
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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Job Number: R0231461
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. Work with us as we use data science for good.
You Have:
2+ years of experience using Databricks
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
2+ years of experience with statistical and general‑purpose programming languages for data analysis
Experience analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
Knowledge of text mining, Machine Learning, Artificial Intelligence, or Natural Language Processing
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree
Nice To Have:
2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
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 aviation, geospatial, and weather datasets
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Master’s degree
Vetting Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation Salary range for this position is $77,600.00 to $176,000.00 (annualized USD). This range reflects typical compensation and is one component of Booz Allen’s total compensation package, which includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.
Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. Booz Allen reserves the right to take your picture to verify your identity and prevent fraud.
Work Model
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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