Data Scientist, Senior

The 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 IoT, 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. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, 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 lead 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 make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us.

Requirements

• 5+ years of experience in data science, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
• Experience using Python to manipulate and analyze data
• Experience using SQL to conduct complex database queries
• Experience using data manipulation and extract, transform, and load (ETL) procedures
• Experience with leveraging APIs to query systems
• Experience with developing data visualizations, dashboards, or lightweight Web applications to communicate key insights
• Experience with communicating information in oral or written formats to an audience with varying technical knowledge and expertise

Qualifications

• TS/SCI clearance
• Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Analytics
• Nice if you have:
• Experience developing dashboards using Grafana
• Experience developing Web services or Web applications using Python and Flask or JavaScript
• Experience using Apache Spark to aggregate and analyze large data sets from various sources
• Experience working with AI and ML technologies and data systems
• Experience applying supervised and unsupervised machine learning algorithms for clustering, classification, and dimensionality reduction
• Knowledge of commercial Cloud services used by the ICM
• Masters' degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical field

Skills

• Leadership skills
• Data science expertise
• Understanding of data-driven insights
• Ability to communicate information to diverse audiences
• Experience with data manipulation and ETL procedures
• Experience with Python, SQL, and data visualization tools
• Experience with APIs and Web applications
• Experience with AI and ML technologies
• Experience with cloud services

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development opportunities
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program

Pay

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

Schedule

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.

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

• 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.
• 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

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.