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Data Scientist R Remote Jobs in Indianapolis, IN

... sciences in more than 160 countries and regions. Position Summary The Senior Data Analyst is ... R * Proficient at create presentations and data visualizations within PowerPoint * Exhibit ...

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

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

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... Bachelor's degree in Computer Science, Information Systems, Systems Engineering, or a related field ...

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 ...

This remote role is open to US based candidates and no relocation benefits are available. Meet the ... Joining us means working at the intersection of data science, marketing operations, and high-stakes ...

This remote role is open to US based candidates and no relocation benefits are available. Meet the ... Joining us means working at the intersection of data science, marketing operations, and high-stakes ...

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 ...

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 ...

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 ...

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 ...

Sr. Systems Engineer

Indianapolis, IN · On-site +1

$99K - $136K/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 ...

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 ...

Sr. Systems Engineer

Indianapolis, IN · On-site +1

$99K - $136K/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 ...

Showing results 21-40

Data Scientist R Remote information

See Indianapolis, IN salary details

$35.8K

$117.3K

$187.8K

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

As of Aug 10, 2026, the average yearly pay for data scientist r remote 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 data scientist R remote?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote data scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What are the key skills and qualifications needed to thrive as a data scientist R remote?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

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

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

Infographic showing various Data Scientist R Remote job openings in Indianapolis, IN as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $117,322 per year, or $56.4 per hour.

Senior Data Quality Analyst

OrganOx

Indianapolis, IN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Job description

ABOUT ORGANOX:
OrganOx is a commercial stage organ technology company dedicated to developing technologies to improve outcomes for patients with acute or chronic organ failure. The company was established as a spin out of the University of Oxford in 2008 and is now part of the Terumo Group. OrganOx is a pioneer in normothermic machine perfusion (NMP). It's flagship platform, the metra®, is available for use in the U.S., Europe, Canada, and Australia. It has been utilized in over 7,000 liver transplants to date to keep donor livers in a metabolically active state outside the body enabling longer preservation times and functional assessment of the organ prior to transplant, leading to an increased number of organs available for transplant. Founded in 1921, Terumo Corporation (TSE:4543) strives to fulfil its mission of "Contributing to Society through Healthcare" by providing a comprehensive range of solutions in the fields of therapeutic procedures, hospital operations, and life sciences in more than 160 countries and regions.
Position Summary
The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other analysts, data engineers, data product managers, and business stakeholders. The ideal candidate will be an organized, detail-oriented collaborator with strong communication.
Listed below are the major responsibilities of the role and a brief description of some of the key tasks to be performed. This list is not totally exhaustive.
This is an on-site position in Madison, NJ. The position is responsible for overseeing our complaint and servicing data systems and reporting frameworks, ensuring the integrity and precision of data. The ideal candidate will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic business decisions. The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement.
Major Responsibilities
Under direction from the Director, Complaints Management, the Senior Data Analyst will be responsible for the following tasks:
  • Ensure that data analysis and reporting is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions
  • Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors
  • Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems
  • Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights
  • Identify opportunities for process improvements
  • Engage with managers to specify data requirements for analysis projects tailored to their unique business processes
  • Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability
  • Detect, examine, and decode trends or patterns within intricate datasets
  • Employ statistical techniques to scrutinize data and produce actionable business insights
  • Develop data dashboards, charts, and visual aids to support decision-making across departments
  • Conduct in-depth data analysis using advanced statistical methods and tools to uncover patterns, correlations, and insights
  • Manage and update databases to ensure they are secure, accessible, and functioning properly
  • Coordinate with management to align business and informational priorities
  • Adhere to the letter and spirit of OrganOx's Code of Conduct and all other company policies

Requirements
Skills & Experience
  • Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R
  • Proficient at create presentations and data visualizations within PowerPoint
  • Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
  • Capable of critically evaluating data to derive meaningful, actionable insights
  • Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background
  • Experience in medical device or pharmaceutical industries preferred
  • Ability to work independently

Qualifications
  • Bachelor's Degree in an analytical/research field (Math, Physics, Engineering, Computer Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination. Advanced degree preferred.
  • Minimum of two years of experience in a senior analytical role
  • Ability to travel 10%
  • Quality Management System process knowledge preferred
  • Expertise with Databricks preferred

A job description does not imply that the duties stated are the only ones to be performed by the job holder. Job holder will be required to follow any other job-related instruction as reasonably requested by their line manager or their designate.
Benefits
We offer competitive compensation and comprehensive benefits available from day one, including health, dental, vision, disability coverage, and flexible spending accounts. Additionally, we offer a 401(k)-retirement plan with company matching after 90 days, paid time off, holidays, and additional leave benefits, as well as employee discounts and access to our onsite wellness facility. OrganOx supports work-life balance and provides opportunities for ongoing professional development.