Jobs via Dice
Overview
Data Scientist Booz Allen Hamilton. On our team, you\'ll use your analytical skills and data science knowledge to create real-world impact. You\'ll work closely with clients to understand their questions and needs, 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. U.S. citizenship is required due to the nature of work performed within this facility. Responsibilities
Work with clients to understand their questions and needs, then analyze data-rich environments to extract insights. Develop algorithms and systems and apply appropriate tools and frameworks to convert data points into objective answers. Provide a deep understanding of the data, its meaning, and how it can be used to solve global challenges across private and public sectors. Qualifications
2+ years of experience with data science supporting cloud-based applications Experience using and integrating LLM models via APIs (OpenAI, X.AI, Claude) to enhance data analysis and automate insights Experience with Python and R for statistical computing and data visualizations Experience in Exploratory Data Analysis (EDA) to identify trends, anomalies, and key insights from large datasets Experience in Data Modeling to support predictive analytics and anomaly detection Experience with dashboarding tools such as AWS QuickSight Experience with machine learning tools such as Amazon SageMaker Experience in writing clean, maintainable code to support production-grade data science workflows Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor\'s degree Nice If You Have
Experience in supporting or modernizing financial systems Experience with ETL and big data platforms such as AWS Glue and EMR Experience with generative AI tools such as Amazon Bedrock Experience with graph databases such as Amazon Neptune 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 at Booz Allen is determined by location, education, skills, and experience, with a projected compensation range of $77,600.00 to $176,000.00 (annualized USD). The 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 flexibility and collaboration, whether in person or remote. If listed as remote or hybrid, you\'ll periodically work from a Booz Allen or client site facility. If listed as onsite, you\'ll work with colleagues and clients in person as needed for the role. Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law.
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Data Scientist Booz Allen Hamilton. On our team, you\'ll use your analytical skills and data science knowledge to create real-world impact. You\'ll work closely with clients to understand their questions and needs, 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. U.S. citizenship is required due to the nature of work performed within this facility. Responsibilities
Work with clients to understand their questions and needs, then analyze data-rich environments to extract insights. Develop algorithms and systems and apply appropriate tools and frameworks to convert data points into objective answers. Provide a deep understanding of the data, its meaning, and how it can be used to solve global challenges across private and public sectors. Qualifications
2+ years of experience with data science supporting cloud-based applications Experience using and integrating LLM models via APIs (OpenAI, X.AI, Claude) to enhance data analysis and automate insights Experience with Python and R for statistical computing and data visualizations Experience in Exploratory Data Analysis (EDA) to identify trends, anomalies, and key insights from large datasets Experience in Data Modeling to support predictive analytics and anomaly detection Experience with dashboarding tools such as AWS QuickSight Experience with machine learning tools such as Amazon SageMaker Experience in writing clean, maintainable code to support production-grade data science workflows Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor\'s degree Nice If You Have
Experience in supporting or modernizing financial systems Experience with ETL and big data platforms such as AWS Glue and EMR Experience with generative AI tools such as Amazon Bedrock Experience with graph databases such as Amazon Neptune 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 at Booz Allen is determined by location, education, skills, and experience, with a projected compensation range of $77,600.00 to $176,000.00 (annualized USD). The 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 flexibility and collaboration, whether in person or remote. If listed as remote or hybrid, you\'ll periodically work from a Booz Allen or client site facility. If listed as onsite, you\'ll work with colleagues and clients in person as needed for the role. Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law.
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