Booz Allen Hamilton
Data Scientist
Booz Allen Hamilton, Tampa, Florida, us, 33646
Job Number:
R0204101Data ScientistThe 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 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. We need you to help find the answers in the data.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.Join us. The world can’t wait.You Have:2+ years of experience with programming languages, including R, Python, or CExperience working with structured, unstructured, or semi-structured data in support of scientific or economic analysisExperience designing, developing, or leveraging relational databases such as PostgreSQL or MS SQLExperience creating software for retrieving, parsing, and processing structured and unstructured data, and developing scalable ETL or ELT workflows for reporting and analyticsExperience with data visualization tools and best practices, and programming and coding mathematical modelsKnowledge of the Software Development Life Cycle, testing, and version controlAbility to cleanse data, develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platformsAbility to work in a cross-functional team, prioritize multiple work tasks, and deliver products on time within quality standardsSecret clearanceBachelor's degreeNice If You Have:Experience supporting DoD organizationsExperience using and deploying machine learning algorithms, including natural language processing (NLP)Experience with web development frameworks, including Shiny, Django, or FlaskExperience with data lakes, data warehouses, or data lake housesExperience with cloud services, including AWS or AzureExperience working in an Agile development environment collaborating with application developers, infrastructure engineers, and stakeholdersExperience with CI/CD, including Git, Jenkins, and DockerExperience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or KafkaExperience with NoSQL implementation using MongoDB or CassandraExperience with data warehousing, including AWS Redshift, MySQL, or SnowflakeClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.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 $75,600.00 to $172,000.00 (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.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.EEO Commitment:We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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R0204101Data ScientistThe 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 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. We need you to help find the answers in the data.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.Join us. The world can’t wait.You Have:2+ years of experience with programming languages, including R, Python, or CExperience working with structured, unstructured, or semi-structured data in support of scientific or economic analysisExperience designing, developing, or leveraging relational databases such as PostgreSQL or MS SQLExperience creating software for retrieving, parsing, and processing structured and unstructured data, and developing scalable ETL or ELT workflows for reporting and analyticsExperience with data visualization tools and best practices, and programming and coding mathematical modelsKnowledge of the Software Development Life Cycle, testing, and version controlAbility to cleanse data, develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platformsAbility to work in a cross-functional team, prioritize multiple work tasks, and deliver products on time within quality standardsSecret clearanceBachelor's degreeNice If You Have:Experience supporting DoD organizationsExperience using and deploying machine learning algorithms, including natural language processing (NLP)Experience with web development frameworks, including Shiny, Django, or FlaskExperience with data lakes, data warehouses, or data lake housesExperience with cloud services, including AWS or AzureExperience working in an Agile development environment collaborating with application developers, infrastructure engineers, and stakeholdersExperience with CI/CD, including Git, Jenkins, and DockerExperience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or KafkaExperience with NoSQL implementation using MongoDB or CassandraExperience with data warehousing, including AWS Redshift, MySQL, or SnowflakeClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.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 $75,600.00 to $172,000.00 (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.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.EEO Commitment:We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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