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Remote Non Phone Jobs in Roy, UT (NOW HIRING)

Ability to communicate technical results to non-technical audiences -- advertisers, sales ... phone and subscription reimbursement, and annual hardware stipend * Flexible PTO and remote ...

Remote Non Phone information

See Roy, UT salary details

$8

$15

$24

How much do remote non phone jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote non phone in Roy, UT is $15.27, according to ZipRecruiter salary data. Most workers in this role earn between $12.60 and $16.49 per hour, depending on experience, location, and employer.

What is a Remote Non Phone job?

A Remote Non Phone job is a work-from-home position that does not require talking on the phone. These jobs typically involve tasks like data entry, chat support, transcription, writing, or online research. They are ideal for individuals who prefer written communication or need a quiet work environment. Many companies offer these roles in fields such as customer support, administration, and content creation.

What are some common challenges faced in remote non phone positions, and how can I overcome them?

One of the most common challenges in remote non phone roles is maintaining clear communication without verbal interaction, which can sometimes lead to misunderstandings or delays. To overcome this, it's important to develop strong written communication skills and proactively check in with your team using collaboration tools. Staying organized and managing your time effectively can also help you meet deadlines and prioritize tasks in a self-directed work environment. Regularly updating your progress and being responsive in chat or email threads will ensure you remain connected and productive. Embracing these strategies will make your remote experience smoother and more successful.

What are the key skills and qualifications needed to thrive in the Remote Non Phone position, and why are they important?

To thrive in a Remote Non Phone role, candidates need strong written communication, computer literacy, and attention to detail, often backed by experience in data entry, content moderation, or email-based customer support. Familiarity with collaboration platforms like Slack, project management tools such as Asana or Trello, and proficiency in MS Office or Google Workspace are typically required. Exceptional time management, self-motivation, and the ability to work independently make individuals stand out. These skills ensure productivity, clear communication, and efficient workflow in a remote, non-phone-based work environment.

What are popular job titles related to Remote Non Phone jobs in Roy, UT? For Remote Non Phone jobs in Roy, UT, the most frequently searched job titles are:
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What cities near Roy, UT are hiring for Remote Non Phone jobs? Cities near Roy, UT with the most Remote Non Phone job openings:
Infographic showing various Remote Non Phone job openings in Roy, UT as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $31,757 per year, or $15.3 per hour.
Data Scientist

Data Scientist

Audiohook

Eden, UT • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 2 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