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Remote Yahoo Fantasy Sports Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$75K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

The Walt Disney Company

Bureau Producer I

$107K - $174K/yr

Sports News & Coverage Job Posting Primary Business: Digital Editorial, UCG, Fantasy & Betting ... Remote Worker Location, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-07-27

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

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All JobsSports and Recreation JobsRemote Yahoo Fantasy Sports Jobs

Remote Yahoo Fantasy Sports information

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How much do remote yahoo fantasy sports jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote yahoo fantasy sports in the United States is $10.65, according to ZipRecruiter salary data. Most workers in this role earn between $8.65 and $10.58 per hour, depending on experience, location, and employer.

What is the difference between Remote Yahoo Fantasy Sports vs Remote Fantasy Sports Analyst?

AspectRemote Yahoo Fantasy SportsRemote Fantasy Sports Analyst
Required CredentialsKnowledge of Yahoo Fantasy platform, sports knowledge, sometimes certifications in sports managementSports knowledge, data analysis skills, certifications in sports analytics or related fields
Work EnvironmentRemote, flexible hours, primarily online platform-basedRemote, often involves data analysis, reporting, and communication with teams or clients
Employer & Industry UsageYahoo, sports entertainment, online gaming industrySports media companies, analytics firms, online sports platforms

Remote Yahoo Fantasy Sports roles focus on managing and engaging with Yahoo's fantasy sports platform, often requiring sports knowledge and familiarity with Yahoo's system. Remote Fantasy Sports Analysts analyze sports data, provide insights, and support fantasy sports strategies, typically needing analytical skills and sports analytics certifications. While both are remote and sports-related, Yahoo Fantasy Sports roles are more platform and user engagement-oriented, whereas Fantasy Sports Analysts focus on data analysis and insights.

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Remote Yahoo Fantasy Sports jobs near you
Infographic showing various Remote Yahoo Fantasy Sports job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $22,150 per year, or $10.6 per hour.

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Re-posted 21 days ago

Job description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.
This position is 100% remote
Responsibilities:
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • A proven background in quantitative analytics, trading, or engineering is required for this position
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and/or interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote

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