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Remote Aws Sports Analytics Jobs (NOW HIRING)

Data Scientist

San Francisco, CA · On-site +1

$160K/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: * Analyze our factor usage data - how ...

Data Engineer

San Francisco, CA · On-site +1

$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 ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA or Canada. Duties: * Analyze our factor usage data -- how ...

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 ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA or Canada. Duties: * Analyze our factor usage data -- how ...

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 ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA or Canada. Duties: * Analyze our factor usage data -- how ...

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 ...

New

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 ...

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 ...

Product Engineer

San Francisco, CA · On-site +1

$170K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. This is a software engineering role, not a data science role - you'll ...

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 ...

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 ...

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 ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. This is a software engineering role, not a data science role -- you'll ...

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Remote Aws Sports Analytics information

What is the difference between Remote Aws Sports Analytics vs Remote Data Analyst?

AspectRemote Aws Sports AnalyticsRemote Data Analyst
Required CredentialsExperience with AWS, sports analytics tools, programming (Python, R)Degree in data science, statistics, or related field; proficiency in Excel, SQL, visualization tools
Work EnvironmentSports organizations, tech companies, remote teamsVarious industries including finance, healthcare, marketing, remote options
Employer & Industry UsageSports teams, analytics firms, tech companiesMultiple sectors, broad application across industries
Search & Comparison IntentUnderstanding specialized sports data analysis with AWSGeneral data analysis roles across industries

Remote Aws Sports Analytics focuses on analyzing sports data using AWS cloud services, often requiring knowledge of sports metrics and cloud computing. Remote Data Analyst roles are broader, covering various industries and data types, with less emphasis on sports-specific skills. Both roles involve data interpretation and reporting but differ in industry focus and technical tools.

More about Remote Aws Sports Analytics jobs
What cities are hiring for Remote Aws Sports Analytics jobs? Cities with the most Remote Aws Sports Analytics job openings:
What are the most commonly searched types of Aws Sports Analytics jobs? The most popular types of Aws Sports Analytics jobs are:
What states have the most Remote Aws Sports Analytics jobs? States with the most job openings for Remote Aws Sports Analytics jobs include:
What job categories do people searching Remote Aws Sports Analytics jobs look for? The top searched job categories for Remote Aws Sports Analytics jobs are:
Infographic showing various Remote Aws Sports Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Data Scientist

Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Company 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 consumer/enterprise clients.
Job Description
You'll begin by diving deep into our factor usage: how factors are used, what they drive downstream, and how much they can move sim outputs. Early on, you'll design tests that catch unexpected changes to our simulations caused by factor moves. From there, we see this person consuming large volumes of market data from the exchanges and analyzing it to automate Contrarian Signals - adjusting our sims in response to market information. As we move into sports beyond the NBA, we'd expect this role to grow into building models for factor optimization. The work starts in analysis and moves into model building; it's lighter on infrastructure and software engineering, which is well covered by the team. This position is remote from the USA or Canada.
Duties:
  • Analyze our factor usage data - how factors are used, their downstream effects, and their impact on simulation outputs - and turn that analysis into actionable insight.
  • Design and set up tests to detect unexpected changes to our sims resulting from factor moves.
  • Ideate, develop, and improve machine learning and statistical models that drive Swish's core algorithms, growing into factor-optimization modeling as we expand to new sports.
  • Develop contextualized feature sets that draw on sports-specific domain knowledge.
  • Contribute across all stages of model development - from proof-of-concept and beta testing to partnering with data engineering and product teams to deploy new models.
  • Constantly improve model performance using insights from rigorous offline and online experimentation.
  • Assess model performance, identify weaknesses, and use those findings to direct development efforts.
  • Document your work and present it clearly to technical and non-technical partners.

Requirements
  • Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical field; Master's strongly preferred.
  • 4+ years developing and delivering effective machine learning and/or statistical models to serve real business needs in sports analytics or sports betting.
  • Strong foundation in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.
  • Excellent analytical and problem-solving ability, and a demonstrated drive to learn quickly in unfamiliar territory.
  • Experience with Python and relational SQL.
  • Experience with source control (GitHub) and related CI/CD processes.
  • Experience working in AWS environments.
  • Ability to partner across teams on complex, ambiguous problems and communicate clearly with technical and non-technical audiences.

Base salary: Starting at $160,000 - DOE
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 those outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote