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Remote Data Science R Jobs in Indianapolis, IN (NOW HIRING)

Cobol/IDMS Developer (Remote)

Indianapolis, IN ยท On-site +1

$48 - $65/hr

Design, develop and modify software systems, using scientific analysis and mathematical models to ... data processing systems for product and commercial software. * Determine computer user needs ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN ยท Remote

$48 - $65/hr

Design, develop and modify software systems, using scientific analysis and mathematical models to ... data processing systems for product and commercial software. * Determine computer user needs ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN ยท Remote

$48 - $65/hr

Design, develop and modify software systems, using scientific analysis and mathematical models to ... data processing systems for product and commercial software. * Determine computer user needs ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN ยท Remote

$48 - $65/hr

Design, develop and modify software systems, using scientific analysis and mathematical models to ... data processing systems for product and commercial software. * Determine computer user needs ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN ยท On-site +1

$48 - $65/hr

Design, develop and modify software systems, using scientific analysis and mathematical models to ... data processing systems for product and commercial software. * Determine computer user needs ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN ยท Remote

$48 - $65/hr

Design, develop and modify software systems, using scientific analysis and mathematical models to ... data processing systems for product and commercial software. * Determine computer user needs ...

Director, Product

Indianapolis, IN ยท Remote

$222K - $233K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with Data Engineering and Data Science to ensure AI and ML outputs - propensity models ...

Director, Product

Indianapolis, IN ยท Remote

$238K - $249K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with Data Engineering and Data Science to ensure AI and ML outputs -- propensity models ...

Beckman Coulter Life Sciences' mission is to empower those seeking answers to life's most important ... Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

... AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we ...

Showing results 41-60

Remote Data Science R information

See Indianapolis, IN salary details

$35.8K

$117.3K

$187.8K

How much do remote data science r jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data science r in Indianapolis, IN is $117,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What job categories do people searching Remote Data Science R jobs in Indianapolis, IN look for? The top searched job categories for Remote Data Science R jobs in Indianapolis, IN are:
Infographic showing various Remote Data Science R job openings in Indianapolis, IN as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $117,322 per year, or $56.4 per hour.

$105K - $115K/yr

Full-time

Posted 11 days ago


Job description

Job Title:
Sr. Systems Analyst
Number of Positions:
1
Location:
Indianapolis, IN
Location Specifics:
Fully Remote
Job Summary:
Renaissance Benefits is hiring a Sr. Systems Analyst to join our growing team!
The Sr. Systems Analyst-Integrations is an individual contributor responsible for designing, implementing, and optimizing data integrations across the Renaissance's insurance ecosystem.
This role serves as the bridge between business stakeholders, external partners (brokers, vendors, benefits technology platforms), and engineering teams. This individual is responsible for the end-to-end integration lifecycle, including requirements gathering, data mapping, solution design, testing, and ongoing optimization.
The ideal candidate brings deep expertise in benefits systems and EDI including industry standard file formats (ie 837, flat files, etc) as well as modern API-based integrations. Furthermore, this individual must have a demonstratable forward-looking mindset toward process automation and AI-enabled integration strategies.
What will this role entail?
  • Own the design, setup, and optimization of EDI and API integrations- bridging business needs and technical solutions across Renaissance's benefits technology platforms ecosystem.
  • Partner closely with offshore engineering teams to coordinate development efforts, including feature delivery, issue resolution, and sprint planning.
  • Prioritize critical production issues and bug fixes, ensuring timely resolution and minimal disruption to benefits technology platforms system performance and integration operations.
  • Define data mapping, transformation rules, and data validation logic. Identify opportunities to leverage AI for data mapping automation, error detection, and issue resolution.
  • Coordinate and execute test cycles, validation, and go-live readiness.
  • Lead root causes analysis and implement corrective action while keeping technical and business stakeholders informed.
  • Identify inefficiencies and drive improvements to drive automation, reduce errors, improve processing time, and simplify workflows.
  • Act as a subject matter expert for integrations including current and future functionality as well as benefits technology platforms system dependencies.
  • Perform other related duties as assigned.

Minimum Requirements:
  • Bachelor's degree in Data Science, Information Technology, or a related field preferred.
  • 8-10 years of experience with EDI integrations, preferably in healthcare, benefits, or insurance.
  • Experience working with benefits technology or benefits administration platforms.
  • Strong communication, troubleshooting, and problem-solving skills, with the ability to translate business needs into technical solutions.
  • Ability to work independently as a senior individual contributor in Agile delivery environments.
  • Experience with AI, automation, and data transformation tools preferred.

Technical Qualifications
  • Strong SQL experience and ability to work with complex relational databases; MQL and JSON experience preferred.
  • Experience with EDI/API integrations, data mapping, transformation rules, validation logic, and troubleshooting.
  • Familiarity with benefits administration systems such as Employee Navigator, EIS, or similar platforms.
  • Experience with integration, ETL, mapping, workflow automation, or API testing tools such as Altova, Alteryx, Boomi, MuleSoft, Azure Integration Services, Power Automate, Zapier, Postman, or similar tools.
  • Experience with Power BI, MongoDB, Copilot, Claude, or other AI-enabled productivity tools preferred.

Base Salary Range: $105,000-115,000
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.