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Remote Data Science Sports Jobs in Nebraska (NOW HIRING)

micro1 AI

AI Data Science Evaluator

Omaha, NE · Remote

$245 - $280/hr

Role Title: Data Scientist Role Type: Contractor Location: Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies.

Buildertrend

Senior Data Engineer

Omaha, NE · On-site +1

$130K - $160K/yr

Compensation: $130,000-$160,000 per year Location: United States - Remote or Omaha, NE - Hybrid The job: As a Senior Data Engineer at Buildertrend, you'll lead the migration of our data platform onto

CSAA

External candidates: In order for your application to be correctly processed please sign-in before you apply Internal candidates: Please go to Workday and click "Find Jobs" link under Career Thank

Siemens

$18 - $50/hr

Siemens Digital Industries Software Strategic Student Program (SSP) Discover your career with us at Siemens Digital Industries Software! We are a leading global software company dedicated to the

Siemens

$18 - $50/hr

Siemens Digital Industries Software Strategic Student Program (SSP) Discover your career with us at Siemens Digital Industries Software! We are a leading global software company dedicated to the

Siemens

$18 - $50/hr

Siemens Digital Industries Software Strategic Student Program (SSP) Discover your career with us at Siemens Digital Industries Software! We are a leading global software company dedicated to the

Siemens

$18 - $50/hr

Siemens Digital Industries Software Strategic Student Program (SSP) Discover your career with us at Siemens Digital Industries Software! We are a leading global software company dedicated to the

Siemens

$18 - $50/hr

Siemens Digital Industries Software Strategic Student Program (SSP) Discover your career with us at Siemens Digital Industries Software! We are a leading global software company dedicated to the

Buildertrend

Senior Product Manager - Search

Omaha, NE · On-site +1

$150K - $200K/yr

Compensation: $150,000-$200,000 per year Location: United States - Remote or Omaha, NE - Hybrid The job: As a Senior Product Manager at Buildertrend on our Search team, you'll shape how builders find

Alteryx

Meet the Moment with Alteryx We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx

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All JobsData Science Sports JobsRemote Data Science Sports JobsRemote Data Science Sports Jobs in Nebraska

Remote Data Science Sports information

What is a remote data science sports job?

A remote data science sports job involves analyzing sports-related data to extract insights, build predictive models, and support decision-making, all while working from a location outside of a traditional office, typically from home. Professionals in this role use statistical methods, programming, and machine learning to evaluate player performance, game strategies, or fan engagement. Their work helps sports teams, leagues, media companies, and betting firms make evidence-based decisions. Remote positions offer flexibility and often require strong communication skills to collaborate with teams virtually. The demand for these roles is growing as the sports industry increasingly relies on data-driven strategies.

What are the key skills and qualifications needed to thrive as a remote data science sports professional?

To thrive as a Remote Data Science Sports professional, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, proficiency in data visualization tools, and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate sports data modeling, effective remote teamwork, and valuable contributions to decision-making in sports organizations.

How do remote data science professionals in the sports industry typically collaborate with coaches and analysts to turn data insights into actionable strategies?

Remote data science professionals in the sports industry often work closely with coaches, analysts, and other stakeholders through regular virtual meetings and collaborative platforms. They translate complex data findings into intuitive visualizations and reports, making it easier for non-technical team members to understand and apply insights. Communication and responsiveness are key, as data scientists may need to quickly adjust analyses based on feedback or new priorities from the sports staff. Building strong relationships and maintaining clear channels of communication help ensure that data-driven recommendations are effectively integrated into training, game strategies, and player development.

What is the difference between Remote Data Science Sports vs Remote Data Analysis Sports?

AspectRemote Data Science SportsRemote Data Analysis Sports
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves modeling and machine learningData interpretation, reporting, and visualization, often in business contexts
Employer & Industry UsageTech companies, sports analytics firms, media outletsSports teams, media companies, sports analytics agencies

Remote Data Science Sports involves advanced modeling, machine learning, and statistical analysis, requiring higher technical credentials. Remote Data Analysis Sports focuses on interpreting data, creating reports, and visualizations. Both roles are common in sports industry analytics but differ in complexity and technical depth.

Can data science be used in sports?

Data science is widely used in sports to analyze player performance, optimize strategies, and improve team decision-making. Sports data analysts and data scientists utilize tools like machine learning, statistical models, and data visualization to gain insights and enhance athletic outcomes.

Do sports teams hire remote data scientists?

Some sports teams and organizations hire remote data scientists to analyze player performance, game strategies, and fan engagement using data analytics tools. These roles often require skills in statistical modeling, machine learning, and programming languages like Python or R, and may involve collaboration with on-site staff or remote work environments.

How much do remote data science sports make?

Remote data science roles in sports typically have salaries ranging from $70,000 to $130,000 annually, depending on experience, education, and the complexity of projects. Senior positions or those requiring specialized skills in machine learning or sports analytics can earn higher compensation, often exceeding $150,000. These roles often require proficiency in programming languages like Python or R and familiarity with sports data sources and analytics tools.

What are popular job titles related to Remote Data Science Sports jobs in Nebraska?

For Remote Data Science Sports jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Sports jobs in Nebraska look for?

The top searched job categories for Remote Data Science Sports jobs in Nebraska are:

Remote Data Science Sports jobs near you

AI Data Science Evaluator

Omaha, NE • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$245 - $280/hr

Part-time

Posted 17 days ago

Job description

Role Title: Data Scientist


Role Type: Contractor


Location: Remote


About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.


Scope of Work

  1. Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
  2. Create expert-level prompts, datasets, and reference solutions
  3. Identify flawed methodology, statistical errors, and weak quantitative reasoning
  4. Provide structured feedback that improves model capability


Preferred Qualifications

  1. At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
  2. Undergraduate degree from a top-ranked university
  3. Based in an English-speaking country
  4. Clear written communication of technical and statistical concepts

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