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Booz Allen Hamilton

AI Engineer and Data Scientist, Senior

Booz Allen Hamilton, Bethesda, Maryland, us, 20811

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Discover what to expect during your journey as a candidate with us. Are you ready to embark on a journey where your skills in data and artificial intelligence will drive innovation and propel businesses into the future?Are you fascinated by the possibilities presented by artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As an aspiring data scientist and AI engineer, you know 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 — you see data scientists turning data into actions, and you want to be part of the team. As a data scientist on our team, you’ll use your analytical skills to help 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 work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. If you are driven by curiosity, thrive in a fast-paced setting, and have a deep fascination with the potential of AI, this is the place where you can make a significant impact. Join us, and be part of a team that's not only shaping the future but also pushing the boundaries of what's possible. Join us. The world can’t wait. You Have: 3+ years of experience leveraging statistical programming languages, such as Python, to develop predictive data models, quantitative analyses, and data visualizations 2+ years of experience in Artificial Intelligence, including Machine Learning, Agentic AI, or Natural Language Processing Experience designing and performing A/B testing to evaluate model performance and measure the impact of AI solutions on business outcomes Experience in programming languages, including Python, to write efficient, clean, and maintainable code Experience with machine learning libraries and frameworks like Scikit-Learn, TensorFlow, or PyTorch Knowledge of statistical analysis, data preprocessing techniques, and feature engineering Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined Ability to work with large datasets using tools such as SQL or Spark to query Ability to employ best practices in software development, including using Git for version control and collaboration with other developers, along with testing and code reviews, to ensure the quality and reliability of AI solutions Bachelor's degree in a Computer Science, Machine Learning, Data Science, or Industrial Engineering field Nice If You Have: Experience with AWS, GCP, or Salesforce Cloud services Experience with program automation, CI and CD, DevSecOps, or Agile Experience with healthcare or medical device industry data Experience with Agile methodologies and best practices Experience with geospatial data analysis, including ArcGIS 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. AI Engineer and Data Scientist, Senior

The Opportunity: Are you ready to embark on a journey where your skills in data and artificial intelligence will drive innovation and propel businesses into the future?Are you fascinated by the possibilities presented by artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As an aspiring data scientist and AI engineer, you know 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 — you see data scientists turning data into actions, and you want to be part of the team. As a data scientist on our team, you’ll use your analytical skills to help 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 work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. If you are driven by curiosity, thrive in a fast-paced setting, and have a deep fascination with the potential of AI, this is the place where you can make a significant impact. Join us, and be part of a team that's not only shaping the future but also pushing the boundaries of what's possible. Join us. The world can’t wait. You Have: 3+ years of experience leveraging statistical programming languages, such as Python, to develop predictive data models, quantitative analyses, and data visualizations

2+ years of experience in Artificial Intelligence, including Machine Learning, Agentic AI, or Natural Language Processing

Experience designing and performing A/B testing to evaluate model performance and measure the impact of AI solutions on business outcomes

Experience in programming languages, including Python, to write efficient, clean, and maintainable code

Experience with machine learning libraries and frameworks like Scikit-Learn, TensorFlow, or PyTorch

Knowledge of statistical analysis, data preprocessing techniques, and feature engineering

Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined

Ability to work with large datasets using tools such as SQL or Spark to query

Ability to employ best practices in software development, including using Git for version control and collaboration with other developers, along with testing and code reviews, to ensure the quality and reliability of AI solutions

Bachelor's degree in a Computer Science, Machine Learning, Data Science, or Industrial Engineering field

Nice If You Have: Experience with AWS, GCP, or Salesforce Cloud services

Experience with program automation, CI and CD, DevSecOps, or Agile

Experience with healthcare or medical device industry data

Experience with Agile methodologies and best practices

Experience with geospatial data analysis, including ArcGIS

Master’s degree

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 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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