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Remote Geospatial Data Scientist Jobs in Indiana

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 ...

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

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 ...

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:

This project is focused on providing real-time geospatial analysis to enhance the unmanned ... This is a remote position, but travel to Crane, Indiana is required at least twice a year and ...

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Showing results 1-20

Remote Geospatial Data Scientist information

What is the difference between Remote Geospatial Data Scientist vs Remote GIS Analyst?

AspectRemote Geospatial Data ScientistRemote GIS Analyst
Required CredentialsBachelor's/Master's in GIS, Geography, Data Science; experience with spatial analysisBachelor's in GIS, Geography, or related field; proficiency in GIS software
Work EnvironmentData analysis, modeling, programming, and spatial data interpretationMapping, data management, spatial data visualization
Employer & Industry UsageTech companies, environmental agencies, urban planningGovernment agencies, utilities, environmental firms
Common Search & ComparisonFocuses on data science and modelingFocuses on mapping and spatial data management

The Remote Geospatial Data Scientist primarily works on advanced spatial data analysis, modeling, and programming to extract insights from geospatial data. In contrast, the Remote GIS Analyst focuses on mapping, data management, and spatial visualization. Both roles require GIS knowledge but differ in their core responsibilities and skill sets.

How do Remote Geospatial Data Scientists typically collaborate with multidisciplinary teams across different time zones?

Remote Geospatial Data Scientists often work with professionals in fields like environmental science, urban planning, and software engineering, many of whom may be distributed globally. Effective collaboration relies on clear communication, regular virtual meetings, and the use of shared platforms for data, code, and project management. Flexible scheduling and asynchronous communication tools are key to coordinating across time zones, ensuring that all team members can contribute to project milestones efficiently. Building strong documentation and leveraging collaborative GIS and data platforms further help streamline workflows and maintain project momentum in a remote environment.

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

To thrive as a Remote Geospatial Data Scientist, you need a strong background in spatial analysis, statistics, and programming, typically supported by a degree in geography, computer science, or a related field. Experience with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or R is essential, along with familiarity with cloud-based data platforms. Strong problem-solving, self-motivation, and effective communication skills are vital for collaborating remotely and turning complex geospatial data into actionable insights. These skills enable professionals to efficiently interpret and analyze spatial data, deliver valuable solutions, and work effectively within distributed teams.

What is a Remote Geospatial Data Scientist?

A Remote Geospatial Data Scientist is a professional who analyzes and interprets spatial data, such as maps, satellite imagery, and GPS data, to solve problems or provide insights, all while working from a location outside of a traditional office. They use statistical, mathematical, and programming skills to process large geospatial datasets and often collaborate with teams virtually. Their work can support a variety of industries, including environmental monitoring, urban planning, and logistics, by providing actionable geographic insights. Remote geospatial data scientists commonly use tools like GIS software, Python, and machine learning frameworks. Communication and collaboration tools are also essential for effective remote work.
What are the most commonly searched types of Geospatial Data Scientist jobs in Indiana? The most popular types of Geospatial Data Scientist jobs in Indiana are:
What are popular job titles related to Remote Geospatial Data Scientist jobs in Indiana? For Remote Geospatial Data Scientist jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Remote Geospatial Data Scientist jobs? Cities in Indiana with the most Remote Geospatial Data Scientist job openings:
Data Scientists - Seniors #IN1290

Data Scientists - Seniors #IN1290

Cummins Inc.

Columbus, IN • On-site, Remote

$115K - $158K/yr

Full-time

Posted 13 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 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