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Day Soccer Data Analytics Jobs (NOW HIRING)

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science ...

Bay FC

Head of Data & Analytics

San Jose, CA · On-site

Bay FC is the first NWSL team in the Bay Area, co-founded by legends of women's soccer. The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the use and ...

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

... soccer as we know it. Beginning play in the 2024 season, we are building a squad that will play the ... We have the fire to be the best, and we will show up on the field every day with intensity ...

TOGETHXR

Head of Data & Analytics

San Jose, CA · On-site

$126 - $154/hr

... soccer as we know it. Beginning play in the 2024 season, we are building a squad that will play the ... We have the fire to be the best, and we will show up on the field every day with intensity ...

Sporting Kansas City

$107K - $129K/yr

Integrate data from multiple soccer data providers and Club systems to create a single source of truth. * In collaboration with the rest of the Data and Analytics team, support the development and ...

Sporting Kansas City

Data Engineer

Kansas City, KS · On-site

Integrate data from multiple soccer data providers and Club systems to create a single source of truth. * In collaboration with the rest of the Data and Analytics team, support the development and ...

TECO

Data Analytics Architect

Tampa, FL

X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect PERFORMANCE COACH: Manager, Business Intelligence and Analytics COMPANY: Tampa Electric Company DEPARTMENT: Information Technologies ...

TECO

Data Analytics Architect

Tampa, FL · On-site

X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect PERFORMANCE COACH: Manager, Business Intelligence and Analytics COMPANY: Tampa Electric Company DEPARTMENT: Information Technologies ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

The Data Analytics Architect leads the design, integration, and governance of data systems that ... Typical deployments are expected to be 7-30 days, however candidates should be willing support ...

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All Jobssoccer JobsDay Soccer Data Analytics Jobs

Day Soccer Data Analytics information

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$153K

$178.7K

$202K

How much do day soccer data analytics jobs pay per year?

As of Aug 25, 2026, the average yearly pay for day soccer data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What is the difference between Day Soccer Data Analytics vs Soccer Data Analyst?

AspectDay Soccer Data AnalyticsSoccer Data Analyst
Required CredentialsDegree in Sports Analytics, Data Science, or related field; knowledge of soccer metricsDegree in Sports Analytics, Data Science, or related field; familiarity with soccer statistics
Work EnvironmentSports organizations, analytics firms, or clubs during match days and training sessionsSports organizations, clubs, or analytics companies, often in office or on-site at matches
Employer & Industry UsagePrimarily in sports analytics companies, soccer clubs, and media outletsUsed across similar employers, focusing on data collection, analysis, and reporting

Day Soccer Data Analytics involves real-time analysis during matches and training, often requiring quick decision-making skills. Soccer Data Analysts focus on collecting, interpreting, and reporting soccer data, typically working in office settings. Both roles require similar credentials and are integral to soccer analytics, but Day Soccer Data Analytics emphasizes live, in-game insights.

What cities are hiring for Day Soccer Data Analytics jobs?

Cities with the most Day Soccer Data Analytics job openings:

What are the most commonly searched types of Soccer Data Analytics jobs?

The most popular types of Soccer Data Analytics jobs are:

What states have the most Day Soccer Data Analytics jobs?

States with the most job openings for Day Soccer Data Analytics jobs include:

Day Soccer Data Analytics jobs near you

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 9 days ago

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
Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base Salary: Starting at $130,000
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 Data Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote

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