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Remote Scientist Jobs in Utah (NOW HIRING)

Data Scientist

Eden, UT ยท On-site +1

Communicate clearly and proactively in a remote-first environment Qualifications Required * Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related ...

Lead Data Scientist

Draper, UT ยท On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

Data Scientist

Provo, UT ยท On-site +1

$110K - $130K/yr

This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics, experimentation, causal inference, and making the team smarter about our members. But we're ...

R&D Scientist

Ogden, UT ยท On-site +1

The R&D Scientist is responsible for managing research and development projects involving new product and process development, production trials, least-cost formulation, product/process improvement ...

Cheminformatics Specialist - Remote

Provo, UT ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

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Showing results 1-20

Remote Scientist information

See Utah salary details

$76K

$115.6K

$155.7K

How much do remote scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote scientist in Utah is $115,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $130,600.00 per year, depending on experience, location, and employer.

Is 40 too late to become a remote scientist?

Age is not a barrier to becoming a remote scientist, as the field values skills, experience, and education. Many scientists transition into remote roles later in their careers, often leveraging advanced degrees, research experience, and familiarity with scientific tools and software. Continuous learning and staying current with industry developments can support a successful transition at any age.

What is a remote scientist?

A Remote Scientist is a professional who conducts scientific research, analysis, and experiments while working remotely, often using digital tools and virtual collaboration platforms. They may work in various fields, including environmental science, data science, biotechnology, and engineering. Remote Scientists communicate their findings through reports, presentations, or virtual meetings with colleagues and stakeholders. This role requires strong problem-solving skills, self-discipline, and proficiency in using remote research tools.

What remote scientist jobs are there?

Remote scientist jobs include roles such as research scientists, data scientists, laboratory scientists, and environmental scientists. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific research, and may involve collaboration through digital tools and virtual meetings.

What does a remote scientist do?

A typical day for a Remote Scientist often involves analyzing datasets, designing experiments or simulations, collaborating with team members via video calls or shared digital platforms, and preparing reports or presentations. Depending on their specialization, they may spend time running remote experiments, writing scientific papers, or contributing to grant proposals. While much of the work is independent, regular virtual meetings are held to ensure alignment with projects and to discuss research progress. This structure allows Remote Scientists to balance focused research time with teamwork and ongoing professional development.

What skills and qualifications are needed to thrive as a remote scientist?

To thrive as a Remote Scientist, you need a strong grounding in scientific research methods, data analysis, and a relevant advanced degree such as a Master's or Ph.D. Tools like statistical software (e.g., R, Python), laboratory management systems, and secure data-sharing platforms are frequently used, along with certifications in specialized areas if required. Exceptional written and verbal communication, self-motivation, and organizational skills are essential for effectively collaborating within remote teams and managing independent projects. These abilities ensure remote scientists maintain high research standards, deliver impactful findings, and successfully bridge the gap between virtual collaboration and tangible scientific progress.

What are the most commonly searched types of Scientist jobs in Utah? The most popular types of Scientist jobs in Utah are:
What cities in Utah are hiring for Remote Scientist jobs? Cities in Utah with the most Remote Scientist job openings:
Infographic showing various Remote Scientist job openings in Utah as of August 2026, with employment types broken down into 2% Internship, 1% As Needed, 68% Full Time, 15% Part Time, and 14% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $115,645 per year, or $55.6 per hour.

Data Scientist

Audiohook

Eden, UT โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Role Overview

The Data Scientist will own the measurement science behind Audiohook\'s performance audio advertising platform. You\'ll design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn\'t just statistically sound but operationally useful.

Key ResponsibilitiesMarketing Measurement & Causal Inference
  • Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook\'s lift for advertisers

  • Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns

  • Apply causal inference methods โ€” difference-in-differences, synthetic controls, instrumental variables, propensity scoring โ€” to questions that can\'t be answered with RCTs

  • Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team

Modeling & Analysis
  • Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions

  • Develop and validate predictive models that improve campaign performance and platform efficiency

  • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality

Cross-Functional Collaboration
  • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals

  • Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data

  • Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats

  • Communicate clearly and proactively in a remote-first environment

QualificationsRequired
  • Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field

  • 3โ€“5 years of applied data science experience with a focus on marketing measurement โ€” incrementality, MMM, attribution, or causal analysis

  • Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context

  • Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL

  • Solid grounding in statistical inference, regression, and causal methods

  • Ability to communicate technical results to non-technical audiences โ€” advertisers, sales, leadership

  • Excellent attention to detail and intellectual honesty about model limitations

Preferred
  • Experience in adtech, digital advertising, or media measurement

  • Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn)

  • Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, Snowflake, BigQuery)

  • Experience in a startup or high-growth company

  • Comfort using AI tools to accelerate exploratory analysis, code, and write-ups while maintaining methodological rigor

What We Offer
  • Fully remote work environment

  • Competitive salary and equity opportunities

  • Performance bonuses

  • Health, dental, and vision benefits

  • Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend

  • Flexible PTO and remote-friendly culture

  • Bi-annual Corporate Offsites

  • Opportunity to help shape a function at a rapidly scaling tech company