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Remote Environmental Scientist Jobs in Roy, UT (NOW HIRING)

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 ...

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 ...

... 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 ...

Engineering and Sciences Subcategory: Mechanical Engr Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an exceptional Mechanical ...

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Remote Environmental Scientist information

See Roy, UT salary details

$39.1K

$80.2K

$117.3K

How much do remote environmental scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote environmental scientist in Roy, UT is $80,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $93,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote environmental scientist, and why are they important?

To thrive as a Remote Environmental Scientist, you need a solid background in environmental science, data analysis, and report writing, typically supported by a relevant bachelor's or master's degree. Proficiency in GIS software, statistical analysis tools, and remote sensing technologies—as well as certifications such as HAZWOPER or GIS Professional—are often required. Strong skills in self-motivation, written communication, and time management help remote scientists excel in independent and collaborative projects. These competencies ensure accurate environmental assessments, effective communication with stakeholders, and timely completion of project objectives in a remote setting.

What is the typical work environment for a remote environmental scientist, and how do they collaborate with other team members?

Remote Environmental Scientists typically work from home or a dedicated remote workspace, using digital tools to conduct data analysis, prepare reports, and communicate with colleagues. Collaboration often takes place through video conferencing, cloud-based project management platforms, and regular virtual team meetings. You may work closely with project managers, field scientists, and regulatory specialists to interpret data and contribute to environmental impact assessments. While the position offers flexibility and independence, it also requires proactive communication to stay aligned with team goals and project timelines.

What is a remote environmental scientist?

A Remote Environmental Scientist works from a remote location to analyze environmental data, assess impacts, and develop solutions for sustainability and conservation. They may conduct virtual assessments, use remote sensing technology, and collaborate with teams online. Common tasks include writing reports, reviewing regulations, and consulting on environmental policies. This role typically requires a degree in environmental science or a related field, along with strong analytical and communication skills.

What job categories do people searching Remote Environmental Scientist jobs in Roy, UT look for? The top searched job categories for Remote Environmental Scientist jobs in Roy, UT are:
What cities near Roy, UT are hiring for Remote Environmental Scientist jobs? Cities near Roy, UT with the most Remote Environmental Scientist job openings:

Data Scientist

Audiohook

Eden, UT • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 days ago


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