Data Scientist, Mid
The Opportunity:

Provide statistical and mathematical support to analyze and interpret a wide range of data to help leadership understand the value of anomalies and support strategic decisions. Interpret and analyze leadership information needs, and design and implement data analysis projects to address those needs by incorporating best practices, appropriate data, and proven techniques from experience or research methods. Leverage wide-ranging data sources to develop and communicate an understanding of phenomena and trends. Provide insights through repeatable, transparent analysis that will be used to inform division strategy and decisions. Assist in the construction of data sets and data views to utilize and communicate complex data sets meaningfully and appropriately. Assist with the implementation of statistical analysis process improvements and the incorporation of statistical research into new analytical products and methods. Generate and maintain reports, schematics, and other documentation sufficient to maintain awareness of data ingestion, conditioning, and visualization processes on a regular basis and modify them as required. Provide continuous feedback and recommendations to leadership. Develop performance metrics to assess business analytics maturity level.

You Have:

• 7+ years of experience in data science, mathematics, or a scientific field
• Experience with SQL and PL/SQL, and with common data science libraries such as Pandas, NumPy, SciPy, and scikit-learn
• Experience with environments such as API, Visual Studio, Jupyter Notebook, PyCharm, Anaconda, or miniconda, and with database development and administration tools, such as SQL*Plus, SQL Developer, or PostgreSQL
• Experience with data mining
• Experience using software packages used for advanced statistical analysis of operational data and tools for data visualization
• Ability to develop mathematical algorithms and applications in response to complex requirements
• Ability to identify systems enhancements and new capabilities, concept demonstrators, and capability business cases, and provide training as new systems and capabilities move into operational use
• Ability to work independently in a fast-paced, constantly changing environment and interact and work in a team environment
• TS/SCI clearance
• Bachelor's degree in Statistics, Mathematics, Image Science, Remote Sensing, Earth Science, or Physical Science

Nice If You Have:

• Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2

Clearance:

Applicants selected will be subject to a security 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.

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 $77,600.00 to $176,000.00 (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 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 when 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.