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Remote Manufacturing Data Scientist Jobs in Colorado

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246464 Location: Aurora,CO,US Share job via: Share Computer Scientist ... Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled ...

... remote work options. Join a close-knit team that invests in your career and well-being. The Role ... Data Scientist to provide technical expertise in sustaining mission-critical software and systems.

Data Enigneer, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247099 Location: Aurora,CO,US Share job via: Share Data Enigneer, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

... manufacturability using existing semiconductor fabrication technology. We approach quantum ... Analyze experimental data, debug complex hardware/software interactions, and ensure reliability of ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Contribute to institutional teaching, training activities, and educational programs related to bioinformatics, data science, computational biology, and biomedical research . Work Location: Remote ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Computer Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247095 Location: Aurora,CO,US Share job via: Share Computer Scientist ... Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled ...

Data Engineer, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247098 Location: Aurora,CO,US Share job via: Share Data Engineer, Mid ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Data Engineer

Colorado Springs, CO · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246414 Location: Colorado Springs,CO,US Share job via: Share Data ... Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a STEM field Nice ...

Work with large-scale climate, weather, hydrology, and remote sensing datasets to support model development and scientific analysis. Build and oversee reproducible workflows for data processing ...

Work with large-scale climate, weather, hydrology, and remote sensing datasets to support model development and scientific analysis. Build and oversee reproducible workflows for data processing ...

Showing results 21-40

Remote Manufacturing Data Scientist information

What does a remote manufacturing data scientist do?

A Remote Manufacturing Data Scientist analyzes large sets of manufacturing data to uncover insights, optimize processes, and support decision-making, all while working offsite. They use statistical methods, machine learning, and data visualization tools to identify patterns, predict equipment failures, and recommend improvements for efficiency and quality. Collaborating with engineering and production teams, they help implement data-driven solutions without being physically present at the manufacturing facility. Their work contributes to reducing costs, improving productivity, and ensuring product quality in the manufacturing sector.

What are the key skills and qualifications needed to thrive as a remote manufacturing data scientist?

To thrive as a Remote Manufacturing Data Scientist, you need expertise in data analytics, statistical modeling, and a solid educational background in fields like computer science, engineering, or statistics. Familiarity with programming languages (such as Python or R), machine learning platforms, and manufacturing-specific systems like ERP or MES is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies enable you to extract actionable insights from complex manufacturing data, driving process improvements and operational efficiency from a remote setting.

How does a remote manufacturing data scientist typically collaborate with onsite engineering and production teams?

As a Remote Manufacturing Data Scientist, collaboration with onsite teams is often facilitated through regular virtual meetings, shared dashboards, and collaborative project management tools. You may analyze production data, develop predictive models, and then present insights and recommendations to engineers and plant managers via video calls or detailed reports. Building strong communication skills and familiarity with digital collaboration platforms is essential for bridging the gap between remote analytics and hands-on manufacturing processes. Proactively seeking feedback and clarifying technical requirements with onsite teams ensures your data-driven solutions are both practical and impactful.

What is the difference between Remote Manufacturing Data Scientist vs Remote Manufacturing Engineer?

AspectRemote Manufacturing Data ScientistRemote Manufacturing Engineer
Required CredentialsDegree in Data Science, Statistics, or related field; proficiency in data analysis toolsDegree in Mechanical, Industrial, or Manufacturing Engineering; technical skills in manufacturing processes
Work EnvironmentPrimarily analytical, working with data sets and software tools remotelyFocus on process design, optimization, and technical implementation, often involving remote collaboration
Industry UsageUsed across manufacturing sectors for data-driven decision makingApplied in designing and improving manufacturing systems and processes

The main difference is that a Remote Manufacturing Data Scientist focuses on analyzing manufacturing data to inform decisions, while a Remote Manufacturing Engineer concentrates on designing and optimizing manufacturing processes. Both roles may work remotely and require technical expertise, but their core responsibilities differ significantly.

What are popular job titles related to Remote Manufacturing Data Scientist jobs in Colorado?

For Remote Manufacturing Data Scientist jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Manufacturing Data Scientist jobs in Colorado look for?

The top searched job categories for Remote Manufacturing Data Scientist jobs in Colorado are:

What cities in Colorado are hiring for Remote Manufacturing Data Scientist jobs?

Cities in Colorado with the most Remote Manufacturing Data Scientist job openings:

Infographic showing various Remote Manufacturing Data Scientist job openings in Colorado as of June 2026, with employment types broken down into 73% Full Time, 15% Part Time, 2% Temporary, 8% Contract, and 2% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Computer Scientist, Mid

Booz Allen Hamilton, Inc.

Aurora, CO • On-site, Remote

$69K - $158K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 11 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0246464
Location:
Aurora,CO,US
Share job via:
Share
Computer Scientist, Mid
The Opportunity:
As an analytics professional, 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 data 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 an advanced data scientist and researcher 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 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 in data science, engineering, analytics, or computer science fields
  • 2+ years of experience using data science programming languages such as Python or R
  • Experience with version control tools, including git, GitLab, GitHub, or Bitbucket
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods
  • Ability to design and develop automated analytic software, techniques, and algorithms
  • Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
  • Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in Statistics, Data Science, Computer Science or Social Science, or 4+ years of experience in statistics, data science, computer science and social science in lieu of a 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 $69,400.00 to $158,000.00 (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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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914