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Remote Data Science Sports Jobs in Indiana (NOW HIRING)

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary Minimum - Maximum $115,419 - 158,400 Positions require aMaster's degree in Computer or Data Science ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary Minimum - Maximum $115,419 - 158,400 Positions require aMaster's degree in Computer or Data Science ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary Minimum - Maximum $115,419 - 158,400 Positions require aMaster's degree in Computer or Data Science ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary Minimum - Maximum $115,419 - 158,400 Positions require aMaster's degree in Computer or Data Science ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

UI/UX SME

Crane, IN · On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government ... Support data science initiatives through visualization, analytics tools, and interface design

Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

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Remote Data Science Sports information

What are the key skills and qualifications needed to thrive as a Remote Data Science Sports professional, and why are they important?

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.

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.

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 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 cities in Indiana are hiring for Remote Data Science Sports jobs? Cities in Indiana with the most Remote Data Science Sports job openings:
Data Scientists - Seniors #IN1290

Data Scientists - Seniors #IN1290

Cummins Inc.

Columbus, IN • On-site, Remote

$115K - $158K/yr

Full-time

Posted 14 days ago


Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 248 frontline employees who took The Breakroom Quiz

109th of 520 rated manufacturers


Job description

Resolve complex analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills. Research, design, implement and validate complex algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts. Leverage advanced analytics and data science to solve complex business problems. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with domain experts to verify model capability's and with IT resources to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and inform the design of analytical products. Identify relationships with patterns in data by using a suite of data exploration and data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP and extracts insights into multivariate data by applying principles of multivariate data mining, small sample statistical inferential tests, dimension reduction techniques to understand the underlying structure of the data and enable sound conclusions upon model building. Synthesize current business intelligence or trend data to support recommendations for action. Develop applications for a Cloud-based environment and data extraction tools from variety of sources using experience with Big Data technologies including SQL query language, Java, Python and C++. Collect business intelligence data from available industry reports, public information, field reports, or purchased sources. Identify and analyze industry or geographic trends with business strategy implications. Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders. Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs. Conduct or coordinate tests to ensure that intelligence is consistent with defined needs. Analyze complex automotive and commercial vehicle business systems, industry requirements and data regulations. Process and manage large data sets for vehicle and engine systems. Perform comprehensive Requirements Analysis to evaluate relationships and interdependencies between requirements based upon their complexity and value to the business in order to determine feasibility and prioritization. Utilize Agile software development methodologies to manage projects such as software development and advanced analytics product development to increase productivity and deliver products that meet value to customers.

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

Start Date of Posting: 6/11/26
End Date of Posting: 6/26/26

Position: Remote

Location: Columbus and various unanticipated locations throughout the US

*Annual USD Salary Minimum - Maximum$115,419 - 158,400

Positions require aMaster's degree in Computer or Data Science,or related field and 3 years of experience as a Data Analyst or Scientist, or related position. Alternatively, the employer will accept a Bachelor's degree in Computer or Data Science,or related field and 5years of experience as a Data Analyst or Scientist, or related position. Experience to include: Statistical and predictive modeling concepts; Building analytical machine learning solutions; Data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based environment; Big Data technologies including SQL query language, Java, Python and C++; Analyze complex business systems, industry requirements and data regulations; Requirements Analysis; Agile software development methodologies.


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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919