Data Scientist, Senior

About the role

The Opportunity: Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can 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 — you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve Navy mission solutions.

Responsibilities

• Work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle.
• Develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military leaders make informed decisions.
• Provide your customer with a deep understanding of their data, what it all means, and how they can use it.

Requirements

• 8+ years of experience with analyzing data
• 8+ years of experience with using statistical software applications, including SAS or R
• 5+ years of experience with developing statistical and simulation models
• 5+ years of experience with natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, and application of deep learning to NLP
• 5+ years of experience with developing experimental and analytic plans for data modeling processes, using strong baselines, and accurately determining cause and effect relationships
• 5+ years of experience with developing data science solutions in a scripting or programming language, including Python, R, C, or Java
• Knowledge of data engineering practices, including ETL or ELT

Qualifications

• Bachelor's degree
• Master's degree

Skills

• Knowledge of data engineering practices, including ETL or ELT
• Experience with natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, and application of deep learning to NLP
• Experience with developing experimental and analytic plans for data modeling processes, using strong baselines, and accurately determining cause and effect relationships

Benefits

Nice If You Have: 5+ years of experience with developing statistical and simulation models3+ years of experience with natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, and application of deep learning to NLP3+ years of experience with developing experimental and analytic plans for data modeling processes, using strong baselines, and accurately determining cause and effect relationshipsMaster's degree in Data Science, Applied Mathematics, Computer Science, Engineering, Statistics, Physics, Computer Networks, or Operations Research

Pay

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 $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.