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Remote Football Data Science Jobs in Indiana (NOW HIRING)

Cummins Inc.

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 ...

Cummins

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 ...

Cummins Inc.

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 ...

Cummins

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 ...

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · On-site +1

$58 - $65/hr

Remote Duration: Contract - 12 months Pay Range: $58/hr - $65/hr on W2 Job ID: 374024 About ... We are seeking a Customer Experience Data Scientist / Analyst V to join our dynamic team. The ideal ...

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · Remote

$68 - $71/hr

Remote Duration: Contract - 12 months Pay Range: $68 - $71/hr W2 all inclusive Job ID: 373498 About ... Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related ...

Circle

Staff Software Engineer, Data Platform

Miami, IN · On-site +1

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 ...

Circle

Staff Software Engineer, Data Platform

Austin, IN · On-site +1

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 ...

Circle

Staff Software Engineer, Data Platform

Boston, IN · On-site +1

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 ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

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:

Belden

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Data Technical Specialist - Remote Apply now Date: May 23, 2026 Location: Richmond, IN, US, 47374 ... Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ...

JCD Staffing

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

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

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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All JobsRemote Football Data Science JobsRemote Football Data Science Jobs in Indiana

Remote Football Data Science information

What is the difference between Remote Football Data Science vs Remote Sports Data Analyst?

AspectRemote Football Data ScienceRemote Sports Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of football analyticsDegree in Sports Management, Data Analysis, or related; familiarity with sports data
Work EnvironmentRemote, often collaborative with football teams or analytics firmsRemote or on-site, working with sports organizations or media outlets
Industry UsagePrimarily in football clubs, analytics companies, or sports tech startupsMedia, broadcasting, or sports organizations analyzing various sports

Remote Football Data Science focuses specifically on football analytics, requiring specialized knowledge of football metrics and data science skills. In contrast, Remote Sports Data Analysts work across multiple sports, analyzing diverse datasets. Both roles often work remotely and require similar analytical credentials, but their industry focus and specific expertise differ.

What is a Remote Football Data Scientist?

A Remote Football Data Scientist is a professional who analyzes football (soccer or American football) data to provide insights that help teams, organizations, or media make informed decisions. They use statistical analysis, machine learning, and data visualization techniques to evaluate player performance, predict outcomes, and optimize strategies—all while working remotely. These professionals often collaborate with coaches, scouts, analysts, and other stakeholders by sharing their findings through reports and digital platforms. The role requires strong skills in programming, mathematics, and domain knowledge of football. Working remotely allows them to contribute from anywhere, often using cloud-based tools and virtual collaboration platforms.

What are the typical challenges faced by remote football data scientists, and how can they effectively collaborate with coaching and analytics teams?

Remote football data scientists often face challenges in accessing real-time data, maintaining clear communication across different time zones, and ensuring their analyses align with the needs of coaches and analysts. To overcome these hurdles, it's important to establish regular virtual meetings, use collaborative tools like shared dashboards, and maintain clear documentation of methodologies and findings. Building strong relationships with on-site team members and staying proactive in communication can significantly enhance collaboration and ensure that data-driven insights effectively support team strategies.

What are the key skills and qualifications needed to thrive as a Remote Football Data Scientist, and why are they important?

To thrive as a Remote Football Data Scientist, you need a solid background in statistics, data analysis, and programming (often in Python or R), typically supported by a relevant degree in data science, mathematics, or a related field. Familiarity with sports analytics platforms, machine learning frameworks, and database systems like SQL is commonly required, as are certifications in data analysis or analytics. Strong problem-solving abilities, effective communication, and the capacity to collaborate virtually are vital soft skills for success in this remote, data-driven environment. These skills and qualities enable accurate insights, informed decision-making, and seamless teamwork, ultimately driving competitive advantage for football organizations.
What are popular job titles related to Remote Football Data Science jobs in Indiana? For Remote Football Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Football Data Science jobs in Indiana look for? The top searched job categories for Remote Football Data Science jobs in Indiana are:
What cities in Indiana are hiring for Remote Football Data Science jobs? Cities in Indiana with the most Remote Football Data Science job openings:
Remote Football Data Science jobs near you
Data Scientists - Seniors #IN1290

Data Scientists - Seniors #IN1290

Cummins Inc.

Columbus, IN • On-site, Remote

$115K - $158K/yr

Full-time

Posted 9 days ago

Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 246 frontline employees who took The Breakroom Quiz

109th of 518 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.

What Cummins employees say

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Hours and flexibility

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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

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