2

Remote Environmental Data Scientist Jobs in Roy, UT

Data Scientist

Eden, UT · On-site +1

$170K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

The R&D Scientist is responsible for managing research and development projects involving new ... data and make recommendations. * Experience with working effectively in a plant environment ...

Data Architect

Salt Lake City, UT · On-site +1

$61.25 - $78.75/hr

Manage and enhance Power BI service environments (workspaces, deployment pipelines, security ... Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+years of ...

Legal Receptionist - Remote

Ogden, UT · Remote

$40K - $50K/yr

The ideal candidate thrives in a high-call-volume environment, is proactive, quick to learn, and ... data entry, filing, document management, and other office support as needed. * Deliver a welcoming ...

Join a team that has the environment down to a science. Your Opportunity Stantec GS, Inc. is a ... Position will report to a Stantec office and is eligible for remote/hybrid work arrangement. The ...

This position is Remote : We Are Seeking an experienced Application Architect to lead the discovery ... environmental systems, or scientific data platforms. · Experience with GIS-enabled web ...

SCADA Engineer

Salt Lake City, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... environmental sustainability and diversity, equity and inclusion. General Purpose Develop ... Work with dispatch systems support to ensure the remote data requirements are incorporated into the ...

Demand Generation Manager

Eden, UT · Remote

$115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Communicate clearly and proactively in a remote-first environment Qualifications Required * 5+ ... data * Excellent written communication and the ability to brief creative, agency, and internal ...

Techops Engineer -Mid Level

Farmington, UT · Remote

$52K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Although position is remote employee will be required to visit data center on a quarterly basis. It ... Ability to work independently in a fully remote, async-friendly environment. Nice to Have

Techops Engineer -Mid Level

Farmington, UT · Remote

$52K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Although position is remote employee will be required to visit data center on a quarterly basis. It ... Ability to work independently in a fully remote, async-friendly environment. Nice to Have

next page

Showing results 1-20

Remote Environmental Data Scientist information

See Roy, UT salary details

$35.8K

$117.1K

$187.4K

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

As of Aug 18, 2026, the average yearly pay for remote environmental data scientist in Roy, UT is $117,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $129,700.00 per year, depending on experience, location, and employer.

What is a remote environmental data scientist?

A Remote Environmental Data Scientist is a professional who analyzes and interprets environmental data, such as climate metrics, pollution levels, or ecosystem health, while working from a location outside of a traditional office setting. They use statistical tools, programming languages, and data visualization techniques to draw insights and support environmental projects or policy decisions. This role often involves collaborating with teams virtually, accessing remote databases, and communicating findings to stakeholders. Remote Environmental Data Scientists play a crucial role in addressing environmental challenges by providing actionable data-driven insights.

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

To thrive as a Remote Environmental Data Scientist, you need a strong background in statistics, environmental science, and data analysis, usually supported by a degree in a relevant field. Proficiency in programming languages like Python or R, GIS software, and experience with remote sensing data are typically required, along with certifications in data science or environmental analysis. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating remotely and translating data insights into actionable environmental solutions. These abilities are essential for accurately analyzing complex environmental data, informing policy, and driving sustainable initiatives from a remote setting.

How does a remote environmental data scientist typically collaborate with cross-functional teams while working offsite?

Remote Environmental Data Scientists often work closely with diverse teams, such as field researchers, software developers, and policy analysts, using digital collaboration tools like Slack, Zoom, and cloud-based data platforms. Effective communication and regular virtual meetings are essential for aligning on project goals, sharing data findings, and integrating insights into actionable recommendations. While remote work provides flexibility, it also requires strong self-management and proactive outreach to ensure seamless collaboration and data integrity across geographically dispersed teams.

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

AspectRemote Environmental Data ScientistRemote Environmental Analyst
Required CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in data analysis toolsBachelor's in Environmental Science, Geography, or related fields; basic data analysis skills
Work EnvironmentPrimarily remote, involving data modeling, analysis, and programmingPrimarily remote, focusing on data collection, reporting, and environmental assessments
Employer & Industry UsageUsed by environmental consulting firms, research institutions, and government agencies for data-driven decision makingEmployed by environmental agencies, NGOs, and consulting firms for environmental monitoring and reporting

The main difference is that Remote Environmental Data Scientists focus on advanced data analysis, modeling, and programming to interpret environmental data, while Remote Environmental Analysts concentrate on collecting data, preparing reports, and supporting environmental assessments. Both roles are essential in environmental sectors but differ in technical complexity and daily tasks.

What are popular job titles related to Remote Environmental Data Scientist jobs in Roy, UT?

For Remote Environmental Data Scientist jobs in Roy, UT, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Data Scientist jobs in Roy, UT look for?

The top searched job categories for Remote Environmental Data Scientist jobs in Roy, UT are:

What cities near Roy, UT are hiring for Remote Environmental Data Scientist jobs?

Cities near Roy, UT with the most Remote Environmental Data Scientist job openings:

Data Scientist

Audiohook

Eden, UT • On-site, Remote

$170K/yr

Full-time

Medical, Dental, Vision, PTO

This job post has expired today. 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 — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — 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

  • 3–5 years of applied data science experience with a focus on marketing measurement — 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 — 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