Data Scientist

Phase2 Technology; Florida; On-site; USD 113,000 - 257,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Scientist in the United States to lead AI/ML analytics programs and deploy enterprise-scale data science solutions. You will collaborate with clients to translate questions into data-driven answers, mentor a team, and guide the development of algorithms and systems to enable informed decisions.

In this technical leadership role, you will apply Python, TensorFlow, PyTorch, and Scikit‑learn in cloud environments like AWS, Azure, or Databricks, with TS/SCI

Qualifications

• Experience leading AI/ML analytics programs.
• Experience leading enterprise-scale data science and predictive analytics solutions.
• Experience with data-driven decision support and mission-focused analytics.
• Experience implementing Agile methodologies and coordinating data science with data engineering.
• Experience building and validating AI/ML models with Python, TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud data environments such as AWS, Azure, or Databricks.
• TS/SCI clearance.
• Master's degree with 8+ years leading AI/ML analytics, or 11+ years in lieu.

Responsibilities

• Lead AI/ML analytics programs and develop strategies.
• Collaborate with clients to define questions and translate data into insights.
• Oversee algorithm and system development with cross-functional teams.
• Mentor team members and drive opportunities for data science solutions.
• Provide deep understanding of data and its applications to inform decisions.

Skills

AI/ML analytics leadership

Enterprise-scale data science

Data-driven decision support

Agile methodologies & analytics s

Python/TensorFlow/PyTorch/Scikit-learn

Cloud environments AWS/Azure/Databrick

TS/SCI clearance

Education

Master's degree in Data Science, AI, CS, or Statistics

8+ years leading AI/ML analytics

11+ years in lieu of degree

Tools

AWS

Azure

Databricks

Job description

Job Number: R0245993

Data Scientist

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 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 a seasoned data scientist like 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 and mentor your team as you oversee 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. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. 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:

• Experience leading AI/ML analytics programs
• Experience developing, deploying, and managing enterprise‑scale data science and predictive analytics solutions
• Experience with data‑driven decision support and mission‑focused analytics
• Experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams
• Experience building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit‑learn
• Experience working with cloud‑based data environments such as AWS, Azure, or Databricks
• TS/SCI clearance
• Master's degree in Data Science, AI, CS, or Statistics and 8+ years of experience leading AI/ML analytics programs, or 11+ years of experience leading AI/ML analytics programs in lieu of degree

Nice If You Have:

• Experience as a data scientist supporting DoW or IC missions
• AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional Certification

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 $112,800.00 to $257,000.00 (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.

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.