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Remote Data Scientist Graduate Jobs in Utah (NOW HIRING)

Audiohook

Data Scientist

Eden, UT · On-site +1

$170K/yr

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 ...

Bread Financial

Lead Data Scientist

Draper, UT · 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 ...

Varsity Tutors

Data Science Tutor

Logan, UT · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Cedar City, UT · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Solventum

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

Healthcare

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

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Remote Data Scientist Graduate information

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

AspectRemote Data Scientist GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, data cleaning, basic analysis, business insights
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, consulting firms

The main difference between a Remote Data Scientist Graduate and a Remote Data Analyst Graduate lies in the complexity of tasks and required skills. Data Scientists typically handle advanced modeling and machine learning, requiring stronger programming and statistical expertise. Data Analysts focus on data cleaning, reporting, and basic analysis. Both roles are in high demand across various industries, but Data Scientists often work on more complex projects and require more specialized credentials.

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For Remote Data Scientist Graduate jobs in Utah, the most frequently searched job titles are:

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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

Apply