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Remote No Experience Data Science Jobs in Indiana

$35/hr

Experience documenting complex processes and presenting them in a clear format Who We Want ... Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

$35/hr

Experience documenting complex processes and presenting them in a clear format Who We Want ... Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

$35/hr

Experience documenting complex processes and presenting them in a clear format Who We Want ... Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

ACT Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

ACT Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

ACT Science Tutor

Indianapolis, IN · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

ACT Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Showing results 21-40

Remote No Experience Data Science information

What is a remote no experience data science job?

A remote no experience data science job is an entry-level position that allows you to work from home or any location without requiring prior professional experience in the data science field. These roles typically focus on tasks like data cleaning, basic data analysis, or assisting senior team members with projects. Employers often seek candidates with foundational knowledge in programming languages like Python or R, basic statistics, and a willingness to learn. These jobs are ideal for recent graduates, career changers, or individuals who have completed relevant online courses or certifications.

What are the key skills and qualifications needed to thrive as a remote no experience data scientist?

To thrive as a remote entry-level data scientist, you generally need foundational knowledge in statistics, data analysis, and programming (often in Python or R), which can be demonstrated through online courses or relevant degrees. Familiarity with tools like Jupyter Notebook, SQL, and data visualization platforms such as Tableau is beneficial, and certifications from platforms like Coursera or DataCamp can enhance your qualifications. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for collaborating remotely and interpreting complex data. These skills and qualities enable you to contribute meaningfully to data-driven projects, even without prior professional experience, and help you work efficiently in a remote environment.

What are common challenges faced by entry-level data scientists working remotely with no prior experience?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship and real-time feedback, which can slow down the learning process. Additionally, remote roles may require strong self-discipline and proactive communication skills to collaborate effectively with team members across different locations and time zones. It's also common to face a steep learning curve when working with unfamiliar tools or large datasets, making it important to seek out online resources and actively participate in virtual team meetings. Building a professional network and asking questions regularly can help overcome these hurdles and accelerate growth in the field.

What is the difference between Remote No Experience Data Science vs Remote No Experience Data Analyst?

AspectRemote No Experience Data ScienceRemote No Experience Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some online coursesBasic Excel, data visualization, and analytical skills
Work EnvironmentRemote, collaborative with data science teamsRemote, often involved in reporting and data interpretation
Industry UsageUsed in tech, finance, healthcare for predictive modelingUsed across industries for reporting, trend analysis
Search & Comparison IntentPeople exploring entry-level data science roles without experienceIndividuals interested in entry-level data analysis roles

Remote No Experience Data Science and Remote No Experience Data Analyst roles share similarities in entry-level requirements and remote work settings. However, data science focuses more on predictive modeling and machine learning, while data analysis emphasizes reporting and data interpretation. Both roles are suitable for beginners with basic skills and are in high demand across various industries.

What are popular job titles related to Remote No Experience Data Science jobs in Indiana?

For Remote No Experience Data Science jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote No Experience Data Science jobs in Indiana look for?

The top searched job categories for Remote No Experience Data Science jobs in Indiana are:

Infographic showing various Remote No Experience Data Science job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

On-site, Remote

$35/hr

Temporary, Internship

Posted 4 days ago


Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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