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Remote Fintech Data Scientist Jobs in Utah (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 ...

Using secure data and networks, partnerships and passion, our innovations and solutions help ... and FinTech experience preferred. - PhD or Master's Degree in Computer Science, Information ...

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 ...

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Remote Fintech Data Scientist information

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

AspectRemote Fintech Data ScientistRemote Fintech Data Analyst
Required SkillsAdvanced statistical, machine learning, and programming skillsData interpretation, reporting, and basic analytics skills
CertificationsOften holds certifications like Certified Data Scientist or relevant data science coursesTypically has certifications in data analysis or business intelligence tools
Work EnvironmentDevelops models, algorithms, and predictive analytics in fintech companiesPrepares reports, dashboards, and insights for business decisions in fintech
Industry UsageUsed for complex data modeling and predictive analytics in fintechUsed for data reporting and basic analysis in fintech firms

In summary, Remote Fintech Data Scientists focus on building models and advanced analytics, requiring programming and machine learning expertise. Remote Fintech Data Analysts primarily interpret data and generate reports, with less emphasis on coding and modeling. Both roles are vital in fintech but serve different analytical needs.

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

Data Scientist

Audiohook

Eden, UT • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 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