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

Marlabs

Data Practice Lead (Remote)

Indianapolis, IN · Remote

Since 2000, we have partnered with some of the largest healthcare, life sciences, financial ... Data Practice Lead | About You As a Data Practice Lead, you are a strategic and handson expert in ...

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 ...

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 ...

JLL

Data Collection Specialist II

Indianapolis, IN · Remote

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Kobie Marketing

Director, Product

Indianapolis, IN · Remote

$238K - $249K/yr

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Partner with Data Engineering and Data Science to ensure AI and ML outputs -- propensity models ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · 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 ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · 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 ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · 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 ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · 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 ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · 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 ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · 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 ...

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Showing results 21-40

All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Indianapolis, IN

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 Sep 5, 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 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.

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 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.

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 are popular job titles related to Remote Data Science R jobs in Indianapolis, IN?

For Remote Data Science R jobs in Indianapolis, IN, the most frequently searched job titles are:

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:

Remote Data Science R jobs near you
Infographic showing various Remote Data Science R job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,322 per year, or $56.4 per hour.

Data Practice Lead (Remote)

Marlabs

Indianapolis, IN • Remote

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across 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 continue to expand our global footprint, we have an exciting opportunity for a highly skilled Data Practice Lead to join our innovative and dynamic team.  

Data Practice Lead | About You

As a Data Practice Lead, you are a strategic and handson expert in modern data platforms, helping organizations unlock the full value of their data across analytics, AI, and cloud ecosystems. You thrive in clientfacing roles, partnering with executives such as CTOs and CDOs to guide enterprisescale data transformations and platform decisions. You bring deep experience designing and evaluating solutions across leading cloud data platformssuch as Databricks and Snowflakeand provide clarity for complex challenges including migrations, governance, and AI enablement. You combine technical depth with strong business acumen, supporting presales engagements by assessing client needs, comparing platforms, and building ROIdriven solution strategies. You lead through influence rather than hierarchy, mentor teams, and ensure solutions are delivered as designed and aligned with strategic goals.

Data Practice Lead | Day-to-Day

  • Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging bestpractice patterns and reference architectures.
  • Lead presales and business development efforts by assessing currentstate environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions.
  • Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprisescale architecture decisions.
  • Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams.
  • Collaborate with crossfunctional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization.
  • Mentor and guide data practitioners, leading technical discussions and delivery execution without direct peoplemanagement responsibilities.
  • Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.

Data Practice Lead | Skills & Experience

  • 10+ years of experience in data engineering, data architecture, solution architecture, or related roles.
  • Strong handson experience with modern cloud data platforms, including Databricks and/or Snowflake.
  • Proven ability to support presales activities, including discovery sessions, technical evaluations, demos, and proposal development.
  • Deep understanding of enterprise data architecture, data governance frameworks, and scalable solution design.
  • Experience leading or supporting platform migrations from onprem or legacy systems to modern cloud data platforms.
  • Ability to pragmatically compare data platforms (e.g., Databricks vs. Snowflake) and communicate tradeoffs, cost considerations, and ROI.
  • Strong clientfacing communication skills with the ability to translate complex technical concepts into clear business outcomes.