Data Science Manager Visa Sponsorship Jobs in Colorado
Data science manager roles in Colorado attract strong international hiring, particularly in Denver's growing tech sector and among employers like Lockheed Martin, DISH Network, and Palantir. Boulder and Denver together form the state's primary hiring corridor, with aerospace, telecommunications, and enterprise software companies regularly sponsoring skilled data science leaders.
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Get Access To All JobsAre you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you’re looking for.
At Xcel Energy, our employees are the driving force behind our success. So we make sure that, here, you can be your best. Doing work that makes a difference for neighbors and communities. Working with a team you can count on to push you. Expanding skills, staying ready for change, and capturing opportunities to grow. All with the support, rewards and recognition you need to thrive – during your internship and beyond.
A Data Science Intern will play a crucial role in handling and analyzing large datasets to uncover valuable insights. They utilize statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data. By collaborating with cross-functional teams, they help translate data findings into actionable business strategies, thereby supporting data-driven decision-making processes. Additionally, they may assist in developing predictive models, automating data collection processes, and ensuring data quality and integrity. This position often serves as a foundational step towards more advanced roles in data science, providing essential skills and experience in the field.
Typical intern responsibilities may include but are not limited to:
- Familiar in working with the two primary languages - SQL and Python. Both are widely used for data analysis, machine learning, and visualization.
- Knowledge of machine learning techniques and algorithms.
- Experience with data visualization tools like Posit or Power BI.
- Understand key concepts related to managing and analyzing large datasets. This includes using statistical methods and machine learning algorithms to derive actionable insights.
- Translate the business goals to technical expertise.
- Translate data insights into actionable recommendations for decision-makers.
- Collaborate closely with more senior team members and learn from experienced colleagues.
- Effectively communicate findings to non-technical stakeholders, collaborate with team members, and present to business users.
This position is for a May 24, 2027 start date. This position may have the possibility to extend beyond the internship’s initial term based on the candidate’s successful performance and Xcel Energy’s business needs.
Minimum Requirements:
- Current student, Senior or higher
- Enrolled in an accredited college or university and pursuing a degree in Computer science, data science, statistics, math or a related analytical concentration is required.
- Able to work full-time during the summer (up to 40 hours a week)/ part time during the school year (up to 20 hours a week) and commuting to the designated work location in-person, per our hybrid work policy.
Preferred Qualifications:
- Databricks
- Application Development skills
- Some Python and SQL coding skills
As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you’re ready to be a part of something big, we invite you to join our team.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com.
Non-Bargaining
The anticipated starting base pay for this position is: $22.10 to $27.90 per hour
This position is eligible for the following benefits: Pension, 401(k) plan, Paid time off (PTO), Holidays
Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.
In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information.
Deadline to Apply: 10/15/26
EEO is the Law | EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF)
All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility.
ACCESSIBILITY STATEMENT
Xcel Energy endeavors to make https://www.xcelenergy.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at recruiting@xcelenergy.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you’re looking for.
At Xcel Energy, our employees are the driving force behind our success. So we make sure that, here, you can be your best. Doing work that makes a difference for neighbors and communities. Working with a team you can count on to push you. Expanding skills, staying ready for change, and capturing opportunities to grow. All with the support, rewards and recognition you need to thrive – during your internship and beyond.
A Data Science Intern will play a crucial role in handling and analyzing large datasets to uncover valuable insights. They utilize statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data. By collaborating with cross-functional teams, they help translate data findings into actionable business strategies, thereby supporting data-driven decision-making processes. Additionally, they may assist in developing predictive models, automating data collection processes, and ensuring data quality and integrity. This position often serves as a foundational step towards more advanced roles in data science, providing essential skills and experience in the field.
Typical intern responsibilities may include but are not limited to:
- Familiar in working with the two primary languages - SQL and Python. Both are widely used for data analysis, machine learning, and visualization.
- Knowledge of machine learning techniques and algorithms.
- Experience with data visualization tools like Posit or Power BI.
- Understand key concepts related to managing and analyzing large datasets. This includes using statistical methods and machine learning algorithms to derive actionable insights.
- Translate the business goals to technical expertise.
- Translate data insights into actionable recommendations for decision-makers.
- Collaborate closely with more senior team members and learn from experienced colleagues.
- Effectively communicate findings to non-technical stakeholders, collaborate with team members, and present to business users.
This position is for a May 24, 2027 start date. This position may have the possibility to extend beyond the internship’s initial term based on the candidate’s successful performance and Xcel Energy’s business needs.
Minimum Requirements:
- Current student, Senior or higher
- Enrolled in an accredited college or university and pursuing a degree in Computer science, data science, statistics, math or a related analytical concentration is required.
- Able to work full-time during the summer (up to 40 hours a week)/ part time during the school year (up to 20 hours a week) and commuting to the designated work location in-person, per our hybrid work policy.
Preferred Qualifications:
- Databricks
- Application Development skills
- Some Python and SQL coding skills
As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you’re ready to be a part of something big, we invite you to join our team.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com.
Non-Bargaining
The anticipated starting base pay for this position is: $22.10 to $27.90 per hour
This position is eligible for the following benefits: Pension, 401(k) plan, Paid time off (PTO), Holidays
Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.
In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information.
Deadline to Apply: 10/15/26
EEO is the Law | EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF)
All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility.
ACCESSIBILITY STATEMENT
Xcel Energy endeavors to make https://www.xcelenergy.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at recruiting@xcelenergy.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
Data Science Manager Job Roles in Colorado
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Search Data Science Manager Jobs in ColoradoData Science Manager Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for data science managers in Colorado?
Several large Colorado employers have a track record of sponsoring work visas for data science managers, including Lockheed Martin, DISH Network, Palantir Technologies, and Arrow Electronics. Denver-based health tech and fintech firms also hire internationally for senior data roles. Sponsorship activity tends to concentrate in companies with established HR and legal infrastructure capable of managing H-1B visa petitions.
Which visa types are most common for data science manager roles in Colorado?
The H-1B is the most common visa for data science manager roles in Colorado, given that the position typically requires a bachelor's degree or higher in a specialty field such as statistics, computer science, or engineering. Candidates already holding L-1A status through an intracompany transfer may also qualify, particularly at multinationals with Colorado offices. O-1A is an option for those with demonstrated exceptional achievement in data science.
Which cities in Colorado have the most data science manager sponsorship jobs?
Denver is the primary market for data science manager sponsorship jobs in Colorado, driven by its concentration of tech, aerospace, and financial services employers. Boulder follows closely, anchored by university-affiliated startups and companies in the clean energy and software sectors. Colorado Springs sees activity from defense contractors with clearance-related data roles, though the volume is lower than in the Denver-Boulder corridor.
How to find data science manager visa sponsorship jobs in Colorado?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science manager openings in Colorado without sorting through roles that don't offer sponsorship. You can filter by state and job title to surface relevant Colorado opportunities across industries including aerospace, tech, and healthcare. This saves significant time compared to reviewing unfiltered postings where sponsorship status is often unclear.
What should international candidates know about the data science manager job market in Colorado?
Colorado's data science manager roles often sit at the intersection of technical leadership and business strategy, so employers typically expect candidates to hold advanced degrees alongside management experience. The University of Colorado system and Colorado State University feed a steady pipeline of domestic talent, meaning international candidates are most competitive when they bring specializations in areas like machine learning infrastructure, geospatial analytics, or aerospace data systems that align with Colorado's dominant industries.
What is the prevailing wage for sponsored data science manager 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.