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Machine Learning Data Associate Jobs in Colorado

Machine Learning Data Scientist

Westminster, CO · On-site +1

$122.64K - $165.47K/yr

Essential Skills & Experience * 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models. * Proficiency in Python and SQL for data ...

Essential Skills & Experience * 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models. * Proficiency in Python and SQL for data ...

Our Machine Learning Data team is the foundational backbone for these efforts. We are responsible for building the robust data infrastructure, pipelines, and analytical tools that enable the ...

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Our Machine Learning Data team is the foundational backbone for these efforts. We are responsible for building the robust data infrastructure, pipelines, and analytical tools that enable the ...

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Showing results 1-20

Machine Learning Data Associate information

See Colorado salary details

$10

$19

$32

How much do machine learning data associate jobs pay per hour?

As of May 29, 2026, the average hourly pay for machine learning data associate in Colorado is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $20.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Data Associate, and why are they important?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

What cities in Colorado are hiring for Machine Learning Data Associate jobs? Cities in Colorado with the most Machine Learning Data Associate job openings:
Infographic showing various Machine Learning Data Associate job openings in Colorado as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $40,982 per year, or $19.7 per hour.
Machine Learning Data Scientist

Machine Learning Data Scientist

Trimble, Inc.

Westminster, CO • On-site, Remote

$122.64K - $165.47K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago


Trimble rating

8.2

Company rating: 8.2 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

36th of 137 rated electronics manufacturers


Job description

Drive Innovation as our Next Data Engineer / Scientist (Predictive Analytics)!
Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for a passionate problem-solver like you to leverage data to drive meaningful business outcomes and contribute to the success of our data-driven initiatives! You will unleash your potential by designing systems that improve customer retention for SketchUp, turning complex datasets into actionable strategies that move the world forward.
About Us:
Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.
AECO: The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations.
What Makes This Role Great:
In this role, you will be at the forefront of developing predictive machine learning models, directly influencing customer retention for our SketchUp product and shaping the future of how we understand and engage with our global user base.
Key Exciting Responsibilities
  • Design and deploy sophisticated ML models, such as XGBoost and logistic regression, to proactively identify and mitigate churn risk.
  • Translate complex model outputs into business-friendly insights that drive targeted go-to-market retention strategies.
  • Engineer impactful features from raw customer data to develop advanced metrics for tracking global engagement and activity.
  • Architect automated processes and algorithms to cleanse and integrate massive datasets for high-level customer segmentation and model training.
  • Optimize churn prediction performance using advanced metrics like AUC and lift to ensure maximum business impact.

Essential Skills & Experience
  • 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models.
  • Proficiency in Python and SQL for data manipulation and algorithm development.
  • Strong grasp of data engineering concepts including data lakes, ETL tools, and columnar formats.
  • Experience in statistical modeling for churn analysis, customer segmentation, and cohort analysis.
  • Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred).

Bonus Points For:
  • Experience with demographic and firmographic data integration.
  • Familiarity with BI tools and cloud-based data environments.
  • Advanced academic research in predictive analytics or related fields.

Logistics:
Location: In Office: Westminster, CO
Travel Requirement: Minimal
Why You'll Love Working With Us
At Trimble, we're not just a company that "does good"-we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.
You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste.
Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We're a company of "visionary pragmatists" who think boldly and build things that work.
Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."
Data Engineer, Data Scientist, Machine Learning, Churn Prediction, Python, SQL, Predictive Analytics, SketchUp, ETL, XGBoost, Data Modeling
Compensation: Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.
Hiring Range
$122,642.00-$165,466.00
Pay Rate Type
Salary
Bonus Eligible?
Yes
Commission Eligible?
No
Benefits: Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.
How to Apply: Please submit an online application for this position by clicking on the 'Apply Now' button located in this posting.
Application Deadline: Trimble accepts applications on an ongoing basis until the position is filled.
At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values-Belong, Innovate, and Grow-we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at https://investor.trimble.com, under "Corporate Governance."
Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.
Trimble's Privacy Policy
If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.

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