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Sports Analytics Machine Learning Jobs in Colorado

Iterable

Senior Machine Learning Engineer (Nova)

Denver, CO · On-site

$107K - $147K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations ... failure analysis. • Ability to lead complex projects, make practical trade-offs, and work ...

Vizient

Lead Data Scientist

Englewood, CO

In this role, you willdevelop and deploy advanced analytics, machine learning, generative AI, and agentic AI solutions that address complex business and client challenges. You will design scalable ...

eFulgent

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

... analytics, machine learning, and generative AI techniques to enhance network security and operational efficiency. - Leverage AWS for building and deploying scalable data engineering solutions ...

Cymertek

Data Scientist

Aurora, CO · On-site

In this role, you will use advanced analytics, machine learning models, and statistical methods to uncover trends, solve complex problems, and support strategic decision-making. Collaborating with ...

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Sports Analytics Machine Learning information

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.

How do Sports Analytics Machine Learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What are the key skills and qualifications needed to thrive as a Sports Analytics Machine Learning Specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.
What are popular job titles related to Sports Analytics Machine Learning jobs in Colorado? For Sports Analytics Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Colorado look for? The top searched job categories for Sports Analytics Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Sports Analytics Machine Learning jobs? Cities in Colorado with the most Sports Analytics Machine Learning job openings:
Sports Analytics Machine Learning jobs near you
Senior Machine Learning Engineer (Nova)

Senior Machine Learning Engineer (Nova)

Iterable

Denver, CO • On-site

$107K - $147K/yr

Full-time

Posted 15 days ago

Job description

Job Summary:
Iterable is the leading AI-powered customer engagement platform that helps brands create dynamic, individualized experiences at scale. They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations, focusing on applied Machine Learning in production environments, and collaborating with various teams to enhance the Iterable platform.
Responsibilities:
• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.
Qualifications:
Required:
• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.
Preferred:
• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.
Company:
Iterable is an AI-powered communication platform that improves customer retention with its marketing. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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