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Remote Data Science Jobs in Indiana (NOW HIRING)

SOSi

Sr. Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Zimmer, Inc.

Business Systems Senior Analyst

Warsaw, IN · On-site +1

Collaborate with advanced data science, data quality, market research and other Analytics teams to ... Position permits remote work up to 5 days per week throughout the U.S. EOE/M/F/Vet/Disability ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Indiana?

The most popular types of Data Science jobs in Indiana are:

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

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

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

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

What cities in Indiana are hiring for Remote Data Science jobs?

Cities in Indiana with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Software Engineer

SOSi

Indianapolis, IN • On-site, Remote

$117K - $154K/yr

Full-time

Posted 18 days ago

Job description

Company Description

Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.

Job Description

SOSi is seeking an experienced Senior Software Engineer to support a mission-critical federal payroll and financial management program. This role will support software development, application sustainment, and production operations within a complex enterprise environment.

Job Description

The Senior Software Engineer will support the full software development lifecycle, including software design, development, testing, implementation, maintenance, and production support. The successful candidate will possess strong legacy application experience supporting enterprise business systems.

Responsibilities

  • Design, develop, test, and maintain enterprise software applications.
  • Develop and maintain COBOL applications within an IBM z/OS environment.
  • Analyze and resolve production issues, including batch processing failures.
  • Support software releases, production deployments, and configuration management.
  • Participate in requirements analysis, code reviews, testing, and documentation.
  • Collaborate with systems engineers, database administrators, testers, and customer stakeholders.
Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Equivalent experience may be substituted.
  • 10+ years of software engineering experience.
  • Experience supporting mission-critical production environments.
  • Experience supporting enterprise business applications.
  • COBOL, IBM z/OS, JCL, SDLC, Production Support, Software Testing, Configuration Management
  • Ability to obtain Public Trust Clearance.

Preferred:

  • Oracle
  • Cognos
  • Endevor
  • Payroll, financial management, or ERP systems

Additional Information

Work Environment

  • Normal office conditions with potential to perform duties in deployed locations
  • Remote or Hybrid work model 
  • Core hours of operation are Monday through Friday, 0600 – 1700.
  • May be requested to work evenings and weekends to meet program and contract needs

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.