> Markdown version of [/jobs/ext/1722540-data-scientist-with-colorado-avalanche-contract](https://www.wearedevelopers.com/jobs/ext/1722540-data-scientist-with-colorado-avalanche-contract). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist with Colorado Avalanche- Contract

- **Company:** Kroenke Sports & Entertainment
- **Location:** Denver, CO, United States
- **Experience:** Starter
- **Salary:** $70,000.0 - $85,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Visualization, Relational Databases, Python (Programming Language), Machine Learning, Power BI, Standard Sql, Visual Analytics, Web Applications, Information Technology
- **Published:** July 3, 2026
- **Apply:** https://www.teamworkonline.com/employment_opportunities/2178464/interest_expressions/new

## About the Role

* Ability to think probabilistically and comfort dealing with uncertainty
 * Expertise in one or multiple coding language, preferably R and Python
 * Experience building predictive models of various types from large, complex datasets
 * Strong verbal and written communication skills, * 1-3 years of work experience in a data analysis and/or modeling-related position
 * An advanced degree in computer science, applied mathematics, predictive analytics, statistics, or a related field
 * Expertise in AI, machine learning, and building models with spatio-temporal data
 * A comfort level working with SQL and relational databases in a cloud computing environment, preferably Azure or AWS
 * Experience building dashboards, web applications, and interactive data visualizations, which can include working in Shiny or Power BI
 * Knowledge of NHL players and teams as well as a passion for hockey and hockey analytics

## Description

The Colorado Avalanche are looking to hire a full-time data scientist to work within the team's Hockey Operations Department. This person will use their knowledge of statistical best practices and modeling techniques to analyze large datasets and present takeaways in fields such as: player and team evaluation, in-game tactics, and roster building. They will have the opportunity to work with advanced event, tracking level, and biometric datasets and will work closely with various members of the hockey operations department.
Location:
Denver, Colorado is preferred, but could be remote (with occasional travel)
Responsibilities:

 * Research, develop, and test predictive models for player evaluation and projection at all levels
 * Work with large datasets to answer questions for decision-makers including coaches and management
 * Create data visualizations, reports, profiles, and presentations that communicate methodology and key findings to audiences with a range of technical competencies
 * Collaborate with our team of analytics and hockey operations personnel to best complete projects and support our management group
 * Respond to analytics or hockey operations personnel questions and project requests in a timely fashion including at times on evenings and weekends


## Related Videos

- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents)
- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)