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Sports Analytics Machine Learning Jobs in Iowa (NOW HIRING)

Data Science Tutor

Ames, IA · 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

Iowa City, IA · 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 ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Showing results 21-40

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 Iowa?

For Sports Analytics Machine Learning jobs in Iowa, the most frequently searched job titles are:

What cities in Iowa are hiring for Sports Analytics Machine Learning jobs?

Cities in Iowa with the most Sports Analytics Machine Learning job openings:

$80K - $120K/yr

Full-time

Re-posted 17 days ago


Job description

RFA Engineering (www.rfamec.com) supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices.

This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization.

Data Engineer

As a Data Engineer, you will enable engineers, analysts, and data scientists to more effectively access, explore, and leverage enterprise data to generate insights, build models, and make data-driven decisions. This role focuses on designing scalable cloud-based data solutions, developing high-quality datasets, and creating data products that empower individual contributors to work independently with complex, high-volume data.

A key component of this role involves collaborating with embedded and digital engineering teams to define, capture, and analyze system performance, UI, and health metrics. You will help translate raw signals into actionable insights through analytics, dashboards, and monitoring tools.

Responsibilities

  • Design, build, and maintain cloud-based data pipelines and data products that support analytics, machine learning, and exploratory data analysis

  • Enable self-service data access by developing well-structured, documented, and discoverable datasets for individual contributors

  • Partner with embedded and digital engineering teams to define required performance, UI, and system health metrics and ensure appropriate data capture

  • Perform analytics and data aggregation to translate raw signals into meaningful insights and visualizations

  • Develop and maintain production-ready Python code and data workflows using SQL, PySpark, Databricks, and related technologies

  • Manage and optimize storage of diverse data types, including images, raster data, parquet files, time-series data, geo-tagged data, text, and other unstructured data

  • Build dashboards and interactive data applications using tools such as Tableau, Plotly Dash, or similar web-based visualization frameworks

  • Develop alerting and monitoring solutions (e.g., automated email notifications) to identify system performance issues or data pipeline failures

  • Collaborate in code reviews, documentation, and best-practice development to ensure maintainable and reproducible solutions

  • Manage multiple projects, priorities, and milestones while maintaining a strong sense of ownership and accountability

Requirements

  • Bachelor’s degree or higher in Computer Science, Software Engineering, Data Engineering, or a related technical field, or equivalent professional experience

  • Demonstrated experience designing and implementing cloud-based data solutions in production environments

  • Strong proficiency in Python for data engineering and analytics applications

  • Experience working with data access and processing technologies such as SQL, PySpark, Databricks, Postgres, and MongoDB

  • Experience building and maintaining datasets at scale across multiple data formats and structures

  • Familiarity with vehicle or embedded system data, including CAN signals

  • Excellent written and verbal communication skills, including the ability to lead meetings, clearly document work, communicate proof-of-concepts, and collaborate across teams

Desired Attributes

  • Experience developing dashboards and visual analytics solutions using tools such as Tableau, Plotly, or similar platforms

  • Familiarity with spatial data and visualization tools such as Folium or Plotly

  • Experience implementing system monitoring, alerting, and health-tracking solutions

  • Strong analytical and problem-solving skills with the ability to debug complex data and system issues

  • Ability to work effectively in a self-directed environment with minimal oversight

  • Proven ability to manage multiple schedules, deliverables, and stakeholders simultaneously

  • Knowledge of off-highway, agricultural, construction, or industrial equipment data systems is a plus

Visa sponsorship is NOT available for this position.

Salary Range: $80,000-$120,000/year: Commensurate with experience

About RFA Engineering

RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.
Competitive Benefits

  • Health and Dental Insurance
  • TelaDoc Healthiest You
  • Supplemental Vision Insurance
  • Company Paid Life Insurance
  • Company Paid Long-Term Disability
  • Short-term Disability
  • Retirement Savings Account (Traditional 401k & Roth 401k)
  • Flexible Spending Plan Dependent Care
  • HSA for Medical Expenses
  • Bonus Plan (Exempt Employees Only)
  • Paid Time Off (PTO)
  • Paid Holidays
  • Bereavement Leave
  • Employee Assistance Programs (EAP)
  • Education Assistance

Equal Opportunity and Veteran Friendly