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Remote Full Stack Data Scientist Jobs in Riverton, UT

Applied Materials

UX Engineer IV - (E4)

Salt Lake City, UT · On-site +1

$156K - $214K/yr

If you want to push the boundaries of materials science and engineering to create next generation ... Contribute to full-stack development efforts where needed, ensuring seamless integration between ...

University of Utah

Biostatisticians

Salt Lake City, UT · On-site +1

Remote in-state candidates preferred over remote out of state candidates. This position may require ... This position offers the opportunity to work closely with investigators, data scientists ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

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Remote Full Stack Data Scientist information

See Riverton, UT salary details

$44.4K

$159.2K

$234.9K

How much do remote full stack data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote full stack data scientist in Riverton, UT is $159,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $164,000.00 per year, depending on experience, location, and employer.

What is a remote full stack data scientist?

A Remote Full Stack Data Scientist is a professional who works from any location to handle the end-to-end process of data science projects. This includes collecting and cleaning data, developing and training machine learning models, deploying solutions into production, and sometimes building user-facing applications. They are skilled in both back-end (data engineering, modeling) and front-end (visualization, application development) tasks. Remote Full Stack Data Scientists often collaborate with distributed teams using digital communication and project management tools. Their broad skill set allows them to manage the entire data pipeline and deliver actionable insights or products remotely.

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

To thrive as a Remote Full Stack Data Scientist, you need a strong foundation in statistics, machine learning, data engineering, and programming languages like Python or R, usually supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, SQL databases, cloud platforms (AWS, Azure, GCP), and experience with version control systems like Git are typically required. Excellent problem-solving, communication, and self-motivation skills are crucial for collaborating remotely and translating complex data insights to stakeholders. These combined abilities ensure effective end-to-end data solutions, seamless remote teamwork, and impactful business outcomes.

How do remote full stack data scientists typically collaborate with cross-functional teams in a virtual environment?

Remote Full Stack Data Scientists frequently work with product managers, engineers, and business analysts using collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, clear documentation, and version control systems (like Git) help ensure transparency and alignment across teams. Effective communication and proactive updates are essential to keep projects on track and to integrate data-driven insights into the broader product development process.

Can I work remotely as a full stack data scientist?

Yes, many full stack data scientist roles are available for remote work, especially in companies that prioritize flexible work arrangements. These positions often require proficiency in programming, data analysis, and cloud tools, and may involve collaboration across time zones. Remote work opportunities depend on the company's policies and the specific job requirements.

What cities near Riverton, UT are hiring for Remote Full Stack Data Scientist jobs?

Cities near Riverton, UT with the most Remote Full Stack Data Scientist job openings:

Remote Full Stack Data Scientist jobs near you

Senior Analyst, Payment Integrity Disputes

Salt Lake City, UT • Remote

Oscar Health
Insurance Services • 1 - 5K employees
Learn more about Oscar Healthexternal

$64K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

264th of 315 rated insurance

Job description

Hi, we're Oscar. We're hiring a Senior Analyst, Payment Integrity Disputes to join our Disputes team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will be responsible for supporting payment integrity disputes and issue resolution in the Oscar claim environment for both the Oscar Insurance business. You will scope, triage, investigate and execute on solutions and process improvements. You will leverage a deep understanding of Oscar's claim infrastructure, workflows, workflow tooling, platform logic, data models, etc., to work cross-functionally and understand and translate friction from stakeholders into actionable opportunities for improvement.

You will report into the Manager, Payment Integrity (Pre-Pay).

Work Location: This is a remote position, open to candidates who reside in: Atlanta, Georgia; Chicago, Illinois; Dallas, Texas; Louisville, Kentucky; Minneapolis, Minnesota; Philadelphia, Pennsylvania; Salt Lake City, Utah. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $64,832 - $85,092 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

  • Contribute as a subject matter expert for Oscar reimbursement policies, payment integrity disputes, internal claims processing edits and external vendor edits.
  • Respond to internal and external inquiries and disputes regarding policies and edits.
  • Research industry standard coding rules, summarize and provide input into reimbursement policy language and scope.
  • Use knowledge gained through research and claims review to ideate payment integrity opportunities. Translate into business requirements; submit to and collaborate with internal partners to effectuate change.
  • Ingest information from internal and external partners regarding adverse claim outcomes; collaborate with partners to scope, size, prioritize items and deliver solutions.
  • Use insights from partner submissions, data mining, process monitoring, etc., work with the team to proactively identify thematic areas of opportunity to solve problems.
  • Perpetuate a culture of transparency and collaboration by keeping stakeholders well informed of progress, status changes, blockers, completion, etc.; field questions as appropriate.
  • Support Oscar run state objectives by providing speedy research, root cause analysis, training, etc. whenever leadership escalates and assigns issues.
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Requirements:

  • Experience in Payment Integrity focused on Disputes and/or appeals
  • 4+ years of experience in claims processing, coding, auditing or health care operations
  • 3+ years experience in medical coding
  • Medical coding certification through AAPC (CPC, COC) or AHIMA (CCS, RHIT, RHIA)
  • Experience with reimbursement methodologies, provider contract concepts and common claims processing/resolution practices.
  • 2+ years experience deriving business insights from datasets and solving problems
  • 1+ years experience improving business workflows and processes
  • 1+ years experience collaborating with internal and external stakeholders

Bonus points:

  • 2+ years experience in a technical role (QA analyst, PM, operations analyst, finance, consulting, industrial engineering) or a process improvement role (Six Sigma or similar)
  • 2+ years of experience working with large data sets using excel or a database language
  • Experience in a professional healthcare claims organization
  • Knowledge management, training, or content development in operational settings
  • Process Improvement or Lean Six Sigma training
  • Experience using SQL

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. 

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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