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Remote Ups Data Entry Jobs in Logan, UT (NOW HIRING)

Data Scientist

Eden, UT · On-site +1

$170K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Role Overview The Data Scientist will own the measurement science behind Audiohook\'s performance ... ups while maintaining methodological rigor What We Offer * Fully remote work environment

Remote Ups Data Entry information

See Logan, UT salary details

$9

$16

$24

How much do remote ups data entry jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote ups data entry in Logan, UT is $16.80, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $18.85 per hour, depending on experience, location, and employer.

What is a Remote UPS Data Entry?

A Remote UPS Data Entry job involves entering, updating, and managing shipping and logistics data for UPS from a remote location. Responsibilities may include inputting package details, verifying shipment information, and ensuring accuracy in records. This role typically requires strong typing skills, attention to detail, and familiarity with data entry software. Employees often work independently while following company guidelines to maintain efficiency and accuracy.

What are the daily responsibilities of a Remote UPS Data Entry?

In a Remote UPS Data Entry role, you will typically be responsible for entering shipment data, verifying delivery information, and updating records in company and UPS tracking systems throughout your workday. You may also need to communicate with warehouse staff, logistics coordinators, or customer service teams to resolve discrepancies and ensure data accuracy. While most of your tasks will be completed independently, collaboration through virtual meetings or messaging platforms is often required. Staying organized, meeting data submission deadlines, and adhering to privacy and security protocols are essential parts of the job.

What skills and qualifications are needed for a Remote UPS Data Entry?

To excel as a Remote UPS Data Entry professional, you need excellent typing accuracy, attention to detail, and prior experience with data entry processes, often supported by a high school diploma or equivalent. Familiarity with standard office software such as Microsoft Excel, UPS shipment management systems, and cloud-based data platforms is typically required. Strong organizational skills, self-discipline, and effective written communication help remote employees remain productive and collaborate with team members. These skills are crucial to ensuring that shipping records are precise, data is processed efficiently, and operations remain streamlined for both internal stakeholders and clients.

Are any remote Ups Data Entry jobs legit?

Remote data entry jobs labeled as UPS Data Entry are often legitimate, especially when offered by reputable companies or through well-known job platforms. However, job seekers should verify the employer's credibility, avoid jobs that require upfront payments, and look for clear job descriptions and contact information to ensure legitimacy.

What are popular job titles related to Remote Ups Data Entry jobs in Logan, UT?

For Remote Ups Data Entry jobs in Logan, UT, the most frequently searched job titles are:

What cities near Logan, UT are hiring for Remote Ups Data Entry jobs?

Cities near Logan, UT with the most Remote Ups Data Entry job openings:

Infographic showing various Remote Ups Data Entry job openings in Logan, UT as of August 2026, with employment types broken down into 69% Full Time, 21% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $34,939 per year, or $16.8 per hour.

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