Remote Python Machine Learning Jobs in Colorado (NOW HIRING)

Remote Work:
No
Job Number:
R0247095
Location:
Aurora,CO,US
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Computer Scientist, Mid
The Opportunity:
As an analytic professional with computer science background, 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. If you care about moving a mission forward as much as advancing the field of computer science, this is the opportunity for you. Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We're looking for someone like you to steer complex data exploration and analytics projects through your experience with programming languages, operationalizing models, containerization, data architecture, cloud computing platforms for Intelligence Community.
As a computer science on our National Security team, you'll learn and apply innovative AI&ML methodologies to make a real-world impact on the Intelligence Community. You'll grow your skills in computer science, data science, AI, machine learning operationalization process, and predictive modeling. and shape the future of analytics through a variety of means like patents, peer-reviewed papers, major conference presentations, code submissions.
We'll keep you sharp and moving forward in your career, with access to online courses, the latest tools and methods, and opportunities to develop industry-facing publications and presentations. Whether you're using AI to impact the climate, improving government efficiency, or providing better services to the public, improving veterans' experiences, you'll collaborate with a team that serves critical missions from end to end.
Join us. The world can't wait.
You Have:

• 3+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products
• Experience building advanced analytics and AI/ML models, particularly tools leveraging LLMs or agentic AI, including data retrieval and cleaning, modeling, accuracy evaluation/testing, and visualization
• Experience working on classified networks in support of DoW or IC clients
• Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and articulating "go or no-go" criteria clearly
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree and 3+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 7+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree

Nice If You Have:

• 2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
• 2+ years of experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• 2+ years of experience with Machine Learning, AI or NLP
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• TS/SCI clearance with a polygraph
• Master's degree

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.

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.
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