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Remote Computer Science Game Development Jobs in Utah

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 ...

Varsity Tutors

Autodesk 3DS Max Tutor

Cedar City, UT · Remote

$18 - $40/hr

... and game development. * Curriculum Awareness & Adaptive Instruction: Familiar with 3DS Max ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Autodesk 3DS Max Tutor

Provo, UT · Remote

$18 - $40/hr

... and game development. * Curriculum Awareness & Adaptive Instruction: Familiar with 3DS Max ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Autodesk 3DS Max Tutor

Logan, UT · Remote

$18 - $40/hr

... and game development. * Curriculum Awareness & Adaptive Instruction: Familiar with 3DS Max ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Autodesk 3DS Max Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

... and game development. * Curriculum Awareness & Adaptive Instruction: Familiar with 3DS Max ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Remote Computer Science Game Development information

What is remote computer science game development?

Remote computer science game development is the process of designing, coding, and testing video games while working from a location outside a traditional office, often from home. Game developers use programming languages, game engines, and collaborative tools to build interactive entertainment experiences. This remote setup allows for flexibility in work hours and location, but also requires strong communication and time management skills. Developers may specialize in areas like gameplay programming, graphics, artificial intelligence, or networking. Successfully working remotely in game development often involves using version control systems and regular virtual meetings to coordinate with team members.

What is the difference between Remote Computer Science Game Development vs Remote Software Engineer?

AspectRemote Computer Science Game DevelopmentRemote Software Engineer
Required CredentialsBachelor's in Computer Science, Game Design, or related field; portfolio of gamesBachelor's in Computer Science or related field; coding proficiency
Work EnvironmentGame studios, tech companies, remote teams focused on gamingTech companies, startups, remote teams across industries
Industry UsagePrimarily in gaming and entertainment sectorsAcross various industries including tech, finance, healthcare
Common Search/ComparisonYesNo

Remote Computer Science Game Development focuses on creating interactive games, requiring skills in graphics, physics, and game engines. Remote Software Engineers develop a wide range of software applications across industries. While both roles require programming skills and a computer science background, game developers specialize in gaming platforms and tools, whereas software engineers work on diverse software solutions.

What are some common challenges faced by remote computer science professionals in game development, and how can they be addressed?

Remote computer science professionals in game development often face challenges such as coordinating with team members across different time zones, ensuring effective communication, and managing version control for large codebases. To address these, teams typically rely on robust project management tools, version control systems like Git, and regular virtual meetings to keep everyone aligned. Additionally, clear documentation and defined workflows help minimize misunderstandings and streamline collaboration, ensuring that remote team members can contribute effectively and stay engaged throughout the development cycle.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Game Developer, and why are they important?

A Remote Computer Science Game Developer typically needs a solid background in programming languages such as C++, C#, or Java, a degree in computer science or a related field, and experience with game development frameworks. Familiarity with industry-standard tools like Unity or Unreal Engine, version control systems (e.g., Git), and possibly certifications in game development platforms are highly beneficial. Strong problem-solving abilities, creativity, and effective remote communication skills set standout candidates apart in distributed teams. These skills are crucial for efficiently building, debugging, and collaborating on innovative and high-quality games in a remote work environment.
What are popular job titles related to Remote Computer Science Game Development jobs in Utah? For Remote Computer Science Game Development jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Game Development jobs in Utah look for? The top searched job categories for Remote Computer Science Game Development jobs in Utah are:
What cities in Utah are hiring for Remote Computer Science Game Development jobs? Cities in Utah with the most Remote Computer Science Game Development job openings:
Remote Computer Science Game Development jobs near you
Data Scientist

Data Scientist

Audiohook

Eden, UT • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 13 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

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