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Data Science Sustainability Remote Jobs in Utah (NOW HIRING)

Audiohook

Data Scientist

Eden, UT · 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 ...

MasterCard

Lead Data Scientist

Holladay, UT · On-site +1

The Data Science and Analyticsteam is looking for a Lead Data Scientist. The Data Science team ... sustainable solutions to benefit the team - Be a strong, confident, and excellent writer and ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

micro1 AI

AI Training Specialist - Life Sciences

Provo, UT · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

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Data Science Sustainability Remote information

What is a data science sustainability remote job?

A Data Science Sustainability Remote job involves using data analysis and machine learning techniques to address environmental and sustainability challenges while working from a remote location. Professionals in this role analyze large datasets to uncover insights that can improve energy efficiency, reduce waste, and help organizations meet their sustainability goals. They often collaborate with sustainability teams and decision-makers to design data-driven strategies for positive environmental impact. Remote work allows them to perform these tasks from virtually anywhere, providing flexibility and access to a wide range of organizations.

What does a data science sustainability remote professional do?

In a remote Data Science Sustainability role, you'll frequently collaborate with teams such as environmental specialists, product managers, and IT professionals to analyze data and develop models that support the organization's sustainability goals. Effective virtual communication and project management tools are essential, as you may participate in regular video meetings, share progress updates, and co-develop solutions to track and reduce environmental impact. By working closely with diverse departments, you help translate complex data insights into actionable strategies, making your contributions highly visible and impactful across the organization.

What skills and qualifications are needed to thrive as a data science sustainability remote professional?

To excel as a Data Science Sustainability professional in a remote setting, you need a solid background in data analysis, statistical modeling, and domain knowledge in environmental or sustainability science, typically backed by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with sustainability data platforms or certifications such as LEED or GRI is highly valuable. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating across virtual teams and translating data insights into actionable strategies. These skills ensure that data-driven decisions effectively support sustainability goals while maintaining productivity and alignment in a remote work environment.

What is the difference between Data Science Sustainability Remote vs Data Analyst Sustainability Remote?

AspectData Science Sustainability RemoteData Analyst Sustainability Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like SAS or PythonBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentRemote, collaborative teams, often with data engineering and analytics departmentsRemote, focused on data collection, cleaning, and reporting within sustainability projects
Employer & Industry UsageTech companies, environmental agencies, consulting firmsResearch institutions, environmental organizations, corporate sustainability teams

Data Science Sustainability Remote involves advanced analytics, machine learning, and modeling to support sustainability initiatives, requiring technical expertise. Data Analyst Sustainability Remote focuses on analyzing and visualizing sustainability data to inform decisions. Both roles are remote and integral to sustainability efforts but differ in technical complexity and responsibilities.

What are popular job titles related to Data Science Sustainability Remote jobs in Utah? For Data Science Sustainability Remote jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Science Sustainability Remote jobs in Utah look for? The top searched job categories for Data Science Sustainability Remote jobs in Utah are:
What cities in Utah are hiring for Data Science Sustainability Remote jobs? Cities in Utah with the most Data Science Sustainability Remote job openings:
Data Science Sustainability Remote jobs near you

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

Apply