Data Scientist Visa Sponsorship Jobs in Colorado
Colorado's data scientist job market is anchored by Denver's growing tech sector, aerospace and defense contractors along the Front Range, and research institutions like the University of Colorado and NCAR. Companies including Lockheed Martin, Palantir, and Arrow Electronics regularly hire data scientists and have established visa sponsorship programs for qualified international candidates.
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Get Access To All JobsSenior Data Scientist
On-site in Longmont, Colorado. Monday through Friday, business hours, Mountain Time.
About Docketly
Docketly, a sister company to ABC Legal Services, is a fast-growing legal-tech company based in Longmont, Colorado. For the creditors' rights industry, we make hiring a stand-in attorney easy, fast, and reliable. We pair proprietary software with a nationwide network of attorneys.
Job Overview
You build and run the machine learning and analytics systems behind Docketly's operations. You own production models end to end, from first idea to a live, monitored system on AWS. You build the BI reporting that leadership, operations, and client teams use daily. You support pricing and margin decisions with financial modeling. You work closely with backend engineers on data infrastructure and production issues.
Key Responsibilities
Model ownership and MLOps
- Own the full lifecycle of production ML models: framing, feature engineering, training, validation, deployment on AWS SageMaker (Model Registry, real-time endpoints), inference infrastructure (for example, AWS Lambda), and ongoing monitoring.
- Build and maintain automated retraining and drift monitoring for deployed models.
- Run staged production rollouts with holdout comparisons to prove model impact before full release.
- Use AI coding tools to speed up analysis, modeling, and MLOps work.
Analytics, pricing, and reporting
- Own the BI layer leadership relies on for exec reporting on revenue, margin, and volume, from dashboard design through data accuracy.
- Own pricing and margin analysis for client accounts, including ad hoc investigations for named strategic accounts. Model the financial impact of proposed pricing changes before they go live.
- Build and maintain rules-based pricing and case-difficulty logic by court and county, alongside statistical and ML approaches.
- Build and tune large scoring and prioritization frameworks in Metabase, such as weighting, percentile scenarios, and drop-rate analysis, that drive daily operational decisions such as Hearing priority and assignment.
- Turn ambiguous business questions into clear, well-scoped analyses.
Cross-functional partnership and documentation
- Partner with engineering on data pipelines (AWS Glue, Lambda, EventBridge). Investigate and help resolve production database performance issues, such as ORM query patterns and indexing, alongside backend engineering.
- Write down your methods and decisions in Confluence or an equivalent shared space, as you go, so other teams can find your reasoning and build on it without asking you directly.
Required
- Bachelor's degree in a related field, or equivalent practical experience, and 5+ years of experience with applied statistics or machine learning.
- Applied statistics: probability, hypothesis testing, and model evaluation across classification and regression/quantile models (for example, precision, recall, calibration, quantile coverage, and drift).
- 5+ years of experience with SQL and a relational database in a professional capacity. Docketly's production database runs on MySQL/Aurora, about 400 tables.
- Python for data analysis and modeling: pandas, scikit-learn, and a gradient-boosting framework (XGBoost, LightGBM, or CatBoost). Our production model uses CatBoost-based quantile regression.
- Experience training, deploying, and monitoring models on a cloud ML platform (we use AWS SageMaker), including staged production rollouts (canary or phased release) with holdout comparisons to prove model impact before full release.
- Metabase or comparable BI tooling.
- Clear written and verbal communication with non-technical stakeholders.
Preferred
- AWS Glue, S3, Lambda, EventBridge, CloudFormation.
- Comfortable using AI coding tools such as Claude Code or GitHub Copilot to move faster on analysis and modeling work.
- Experience diagnosing production database performance issues, such as query plans, indexing, and ORM-generated query patterns, in a large, high-table-count schema.
- Software-engineering practices applied to ML code, such as automated testing with pytest, for production pipelines.
Benefits
- Health, Dental, and Vision Insurance
- 401(k) with Company Matching
- Paid Time Off
- 7 Paid Company Holidays
- 4 Floating Holidays per Year
- Life Insurance and AD&D Insurance
- Long-Term Disability
- Health Care Reimbursement Flexible Spending Account (FSA)
- Dependent Care Flexible Spending Account
- Employee Assistance Program (EAP)
- Pet Insurance
Schedule & Location
Schedule: Monday-Friday, 8:00 AM-5:00 PM (Mountain Time) in Longmont, CO.
Salary Range: $115,000-$125,000 depending on experience
Application Closing Date: September 30, 2026, 11:59 PM MST
Senior Data Scientist
On-site in Longmont, Colorado. Monday through Friday, business hours, Mountain Time.
About Docketly
Docketly, a sister company to ABC Legal Services, is a fast-growing legal-tech company based in Longmont, Colorado. For the creditors' rights industry, we make hiring a stand-in attorney easy, fast, and reliable. We pair proprietary software with a nationwide network of attorneys.
Job Overview
You build and run the machine learning and analytics systems behind Docketly's operations. You own production models end to end, from first idea to a live, monitored system on AWS. You build the BI reporting that leadership, operations, and client teams use daily. You support pricing and margin decisions with financial modeling. You work closely with backend engineers on data infrastructure and production issues.
Key Responsibilities
Model ownership and MLOps
- Own the full lifecycle of production ML models: framing, feature engineering, training, validation, deployment on AWS SageMaker (Model Registry, real-time endpoints), inference infrastructure (for example, AWS Lambda), and ongoing monitoring.
- Build and maintain automated retraining and drift monitoring for deployed models.
- Run staged production rollouts with holdout comparisons to prove model impact before full release.
- Use AI coding tools to speed up analysis, modeling, and MLOps work.
Analytics, pricing, and reporting
- Own the BI layer leadership relies on for exec reporting on revenue, margin, and volume, from dashboard design through data accuracy.
- Own pricing and margin analysis for client accounts, including ad hoc investigations for named strategic accounts. Model the financial impact of proposed pricing changes before they go live.
- Build and maintain rules-based pricing and case-difficulty logic by court and county, alongside statistical and ML approaches.
- Build and tune large scoring and prioritization frameworks in Metabase, such as weighting, percentile scenarios, and drop-rate analysis, that drive daily operational decisions such as Hearing priority and assignment.
- Turn ambiguous business questions into clear, well-scoped analyses.
Cross-functional partnership and documentation
- Partner with engineering on data pipelines (AWS Glue, Lambda, EventBridge). Investigate and help resolve production database performance issues, such as ORM query patterns and indexing, alongside backend engineering.
- Write down your methods and decisions in Confluence or an equivalent shared space, as you go, so other teams can find your reasoning and build on it without asking you directly.
Required
- Bachelor's degree in a related field, or equivalent practical experience, and 5+ years of experience with applied statistics or machine learning.
- Applied statistics: probability, hypothesis testing, and model evaluation across classification and regression/quantile models (for example, precision, recall, calibration, quantile coverage, and drift).
- 5+ years of experience with SQL and a relational database in a professional capacity. Docketly's production database runs on MySQL/Aurora, about 400 tables.
- Python for data analysis and modeling: pandas, scikit-learn, and a gradient-boosting framework (XGBoost, LightGBM, or CatBoost). Our production model uses CatBoost-based quantile regression.
- Experience training, deploying, and monitoring models on a cloud ML platform (we use AWS SageMaker), including staged production rollouts (canary or phased release) with holdout comparisons to prove model impact before full release.
- Metabase or comparable BI tooling.
- Clear written and verbal communication with non-technical stakeholders.
Preferred
- AWS Glue, S3, Lambda, EventBridge, CloudFormation.
- Comfortable using AI coding tools such as Claude Code or GitHub Copilot to move faster on analysis and modeling work.
- Experience diagnosing production database performance issues, such as query plans, indexing, and ORM-generated query patterns, in a large, high-table-count schema.
- Software-engineering practices applied to ML code, such as automated testing with pytest, for production pipelines.
Benefits
- Health, Dental, and Vision Insurance
- 401(k) with Company Matching
- Paid Time Off
- 7 Paid Company Holidays
- 4 Floating Holidays per Year
- Life Insurance and AD&D Insurance
- Long-Term Disability
- Health Care Reimbursement Flexible Spending Account (FSA)
- Dependent Care Flexible Spending Account
- Employee Assistance Program (EAP)
- Pet Insurance
Schedule & Location
Schedule: Monday-Friday, 8:00 AM-5:00 PM (Mountain Time) in Longmont, CO.
Salary Range: $115,000-$125,000 depending on experience
Application Closing Date: September 30, 2026, 11:59 PM MST
Data Scientist Job Roles in Colorado
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Search Data Scientist Jobs in ColoradoData Scientist Jobs in Colorado: Frequently Asked Questions
Which companies in Colorado sponsor visas for data scientists?
Several large employers in Colorado have active records of sponsoring work visas for data scientists. These include Lockheed Martin and Raytheon in the aerospace and defense sector, Palantir Technologies in Denver, and companies like Arrow Electronics and Dish Network. University of Colorado research divisions and national laboratories such as NREL and NOAA also hire data scientists and support visa sponsorship for qualified candidates.
Which visa types are most common for data scientist roles in Colorado?
The H-1B visa is the most common visa category for data scientists in Colorado, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as statistics, computer science, or mathematics. Some candidates also enter on O-1 visas for those with extraordinary ability. Australians may be eligible for the E-3 visa, and Canadian and Mexican nationals can explore the TN visa under the USMCA.
Which cities in Colorado have the most data scientist visa sponsorship jobs?
Denver is by far the most active market for data scientist sponsorship jobs in Colorado, with a dense concentration of tech companies, startups, and corporate headquarters. Boulder is a strong second, home to many research-driven companies and proximity to the University of Colorado. The Colorado Springs area also generates demand, largely tied to aerospace, defense, and cybersecurity employers operating near military installations.
How to find data scientist visa sponsorship jobs in Colorado?
Migrate Mate is specifically built to help international job seekers find visa sponsorship roles, including data scientist positions in Colorado. You can filter directly by state and role to see employers who have sponsored visas for data scientists in the region. Because Migrate Mate focuses on sponsorship-confirmed opportunities, it saves time compared to searching general job listings where sponsorship availability is unclear.
Are there any Colorado-specific factors that affect data scientist visa sponsorship?
Colorado's prevailing wage requirements under the H-1B program are set based on local wage data, and Denver and Boulder tend to have higher prevailing wage levels than many other U.S. metros, which affects what employers must pay sponsored workers. The state's strong university pipeline, including CU Boulder and Colorado State University, means employers are familiar with OPT and STEM OPT candidates, which can smooth the path to full H-1B sponsorship.
What is the prevailing wage for sponsored data scientist jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.