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Sports Analytics Machine Learning Jobs in Minnesota

Sr. IT Analyst

New Ulm, MN · Remote

$40 - $76/hr

Join our team as a Sr. IT Analyst and play a pivotal role in advancing healthcare solutions through ... Deploy machine learning models as scalable APIs and microservices, ensuring they meet clinical ...

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies.

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... Provides data insights for business problems that can be approached with analytics techniques to ...

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... with analytics techniques to collect, explore, and extract insights from structured and ...

Data Science Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Create andmaintaindatasets that support reporting, dashboards, analytics, machine learning, and AI initiatives. * Collaborate with software engineers, product leaders, analysts, and mission ...

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Design end-to-end data solutions, including data ingestion, storage, processing, and analysis pipelines, as well as machine learning model development, deployment, and monitoring pipelines. * Design ...

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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 Minnesota? For Sports Analytics Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Sports Analytics Machine Learning jobs? Cities in Minnesota with the most Sports Analytics Machine Learning job openings:
Sr. IT Analyst

$40 - $76/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago


Job description

Join our team as a Sr. IT Analyst and play a pivotal role in advancing healthcare solutions through cutting-edge technology and data science. Your expertise will help shape the future of healthcare by integrating innovative machine learning models into clinical applications.

Responsibilities
  • Develop and manage CI/CD pipelines to ensure seamless machine learning model deployment and automated testing.
  • Deploy machine learning models as scalable APIs and microservices, ensuring they meet clinical performance standards.
  • Implement monitoring tools to track model performance and system health in production environments.
  • Design and optimize ETL processes to transform healthcare data into actionable datasets for model training.
  • Collaborate with backend teams to integrate machine learning outputs into core healthcare applications.
  • Write clean, maintainable code and engage in code reviews to uphold system reliability.
  • Utilize containerization tools to securely manage ML workloads across various environments.
Skills
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
  • 3-5 years of professional experience in software or data engineering, with a focus on machine learning production environments.
  • Strong proficiency in Python and familiarity with SQL; knowledge of a compiled language is a plus.
  • Hands-on experience with major cloud providers and containerization technologies.
Preferred Skills
  • Experience with ML libraries and MLOps tools.
  • Familiarity with data processing frameworks and deploying Large Language Models.
  • Understanding of API design and microservices architecture.

At Horizontal, we are committed to fostering an inclusive environment where diverse backgrounds and perspectives are valued. We encourage individuals from all walks of life to apply and contribute to our mission of improving healthcare through technology.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $40 - $76 per hour based on qualifications and experience.