AI and ML Engineer and Data Scientist

Booz Allen Hamilton; Fayetteville (NC); Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton in the United States is seeking an AI and ML Engineer and Data Scientist to unlock insights from complex datasets and build models for intelligence missions. You will work with clients to define needs, guide algorithm development, and use geospatial data and 3D location modeling to inform decision-making for national security operations.

This role requires 5+ years of experience, TS/SCI clearance, and strong Python/ETL skills, with a focus on predictive analytics,

Qualifications

• 5+ years of experience in data science or ML engineer roles.
• Proficient in Python and ETL workflows.
• Experience using open-source geospatial data to build geographic models.
• Experience creating 3D models of locations, indoor and outdoor.
• Experience selecting, training, evaluating, and tuning ML algorithms.
• Experience developing predictive data models, quantitative analyses, and visualization.
• TS/SCI clearance
• HS diploma or GED

Responsibilities

• Collaborate with intelligence professionals to understand needs and shape AI/ML solutions.
• Lead algorithm development and system design for decision-support.
• Translate complex data into actionable intelligence for clients.
• Guide junior team members and ensure rigorous validation of models.

Skills

Python

ETL

Geospatial data

3D location modeling

ML algorithms

Predictive modeling

Visualization

TS/SCI clearance

Education

HS diploma or GED

Tools

MapReduce

Hadoop

Hive

EMR

Kafka

Spark

Gurobi

MySQL

Job description

AI and ML Engineer and 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 machine learning and artificial intelligence. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information and help solve challenges facing decision-makers in the special operations community.On our team, you’ll use your expertise to support intelligence professionals conducting intelligence operations in support of the nation's most critical missions. You’ll work closely with clients to understand their needs and use your knowledge to shape the modernization of support to special operators across the globe. You’ll guide the team in 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.Work with us as we use data science for good.Join us. The world can’t wait.**You Have:*** 5+ years of experience in data science or machine learning engineer roles* Experience with Python or ETL* Experience using open-source geospatial data to build and tune geographic computer models* Experience creating 3D computer models of locations, including indoor and outdoor locations* Experience selecting, training, evaluating, and tuning machine learning or deep learning algorithms* Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources* TS/SCI clearance* HS diploma or GED**Nice If You Have:*** Experience supporting special operations or intelligence communities* Experience in the development of algorithms leveraging R or SQL* 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 $99,000.00 to $225,000.00 (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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.* **Onsite**: If this position is listed as onsite, work will primarily be performed full-time at a 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.