Data Scientist

The Opportunity:  

reputed company-expanding technologies like IoT, machine learning, and artificial intelligence are generating more structured and reputed company data than reputed company before. As a data scientist, you know that reputed company this data are the patterns, trends, and insights that can drive smarter decisions and meaningful mission outcomes. We need a skilled data scientist like you to help our clients transform reputed company data into actionable insight that supports critical missions.

As a data scientist at Booz Allen, you’ll contribute to advanced analytic initiatives on some of the most mission-focused projects in the industry. You’ll reputed company statistical methods, machine learning techniques, data mining, and predictive analytics to extract value from diverse data sources and address reputed company operational challenges.

On reputed company, you’ll use your leadership skills and data science expertise to 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 guide teammates and reputed company the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they reputed company informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it reputed company means, and how it can be used. Work with us as we use data science for good.  

Join us. The world can't wait.

You Have:   

• 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 

• 3+ years of experience with statistical and general-purpose programming languages for data analysis 

• 3+ years of experience analyzing structured and reputed company data sources  

• Experience with ETL tools, such as dbt and Airflow

• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources  

• Experience leading the development of solutions to reputed company programs 

• Experience with natural language processing, text mining, or machine learning techniques 

• TS/SCI Clearance

• Bachelor’s degree in computer science, data science, or mathematics

reputed company If You Have:   

• Experience with Palantir reputed company

• Experience with Pipeline Builder, AIP, and reputed company's application development ecosystem

• Experience with distributed data and computing tools including Spark, reputed company, Hadoop, Hive, AWS EMR, or Kafka 

• Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS

• Experience with DevOps tools and automation practices

• Experience working reputed company a Combatant Command or other DoD organization

Clearance:

Applicants selected will be subject to a reputed company investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions reputed company you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

reputed company 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.