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Remote Sports Data Collection Jobs in California

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... data collection, feature development and endpoint production * Build new sports betting data ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... data collection, feature development and endpoint production * Build new sports betting data ...

TEKsystems

Data Collection Tech Lead

Sunnyvale, CA · Remote

$40 - $45/hr

Description The Data Collection Tech Lead owns the operational health of their portfolio. That ... remote position. Application Deadline This position is anticipated to close on Aug 7, 2026. About ...

New

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Data Collection and Management: * Gather and preprocess data from various sources, including ... Remote-based with potential for hybrid work arrangements. * Full-time position with standard ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Design, develop, and maintain databases and data collection systems to optimize data quality and ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/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 ...

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 ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Easy Recruiter

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

Firstup is a sports and communication platform dedicated to taking the work out of play in youth ... Remote-First Places to Work . Firstup believes in the power of data to produce great business ...

Eocene Environmental Group

$23 - $27/hr

COMPENSATION: $23.00 to $27.00 an hour LOCATION: 50%-75% Remote Position. Must be a resident of ... Meet with client to outline and implement data collection/reporting changes * Ability to plan ...

Swish Analytics

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 ...

APM Music

Account Coordinator, Sports

Los Angeles, CA · On-site +1

$57K - $60K/yr

Offering a comprehensive collection of original music, the Sports team at APM Music helps the ... This role is remote and will work east coast hours (9:00 AM - 6:00 PM ET). The right candidate for ...

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All JobsSports Data Collection JobsRemote Sports Data Collection JobsRemote Sports Data Collection Jobs in California

Remote Sports Data Collection information

What are some common challenges faced in remote sports data collection roles, and how can they be addressed?

One common challenge in remote sports data collection is ensuring real-time accuracy while working independently, often under tight deadlines during live events. Technical issues such as unstable internet connections or software glitches can also occur, potentially impacting data integrity. To address these challenges, it’s important to have a reliable internet setup, stay familiar with the data collection platform, and maintain clear communication with team supervisors. Proactively preparing backup tools and following established protocols can further help ensure data quality and timely delivery.

What are the key skills and qualifications needed to thrive as a remote sports data collection specialist?

To thrive as a Remote Sports Data Collection Specialist, you need a keen attention to detail, strong analytical skills, and a solid understanding of various sports, often supported by relevant experience or education in sports management or statistics. Familiarity with specialized data entry software, live scoring platforms, and sometimes certifications in data analysis tools are typically required. Exceptional time management, reliability, and clear communication help professionals excel, especially when working independently or coordinating with global teams. These skills are crucial for ensuring the accuracy, timeliness, and reliability of sports data that powers analytics, broadcasts, and betting markets.

What is the difference between Remote Sports Data Collection vs Remote Sports Data Entry?

AspectRemote Sports Data CollectionRemote Sports Data Entry
CredentialsBasic data handling skills, familiarity with sports statisticsTyping skills, attention to detail, basic computer skills
Work EnvironmentFieldwork, online platforms, live event coverageHome-based, computer-focused tasks
Employer & Industry UsageSports analytics companies, media outlets, sports organizationsData management firms, sports websites, research companies
Search & Comparison IntentUnderstanding roles involving sports data collection and analysisClarifying data entry tasks related to sports information

Remote Sports Data Collection involves gathering live or recorded sports data, often requiring fieldwork or online monitoring during events. In contrast, Remote Sports Data Entry focuses on inputting sports data into databases from existing sources. Both roles support sports industry operations but differ in scope and environment.

What is remote sports data collection?

Remote sports data collection involves gathering, recording, and sometimes analyzing sports-related statistics and information from a distance, typically using digital tools and platforms. Professionals in this role may watch live broadcasts, access official feeds, or use specialized software to collect data such as scores, player statistics, and game events. This data is then used by organizations like sports analytics firms, betting companies, and media outlets. The job allows for flexible work locations and often requires strong attention to detail and a solid understanding of the sport being covered.
What are the most commonly searched types of Sports Data Collection jobs in California? The most popular types of Sports Data Collection jobs in California are:
What are popular job titles related to Remote Sports Data Collection jobs in California? For Remote Sports Data Collection jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Sports Data Collection jobs in California look for? The top searched job categories for Remote Sports Data Collection jobs in California are:
What cities in California are hiring for Remote Sports Data Collection jobs? Cities in California with the most Remote Sports Data Collection job openings:
Remote Sports Data Collection jobs near you

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 19 days ago

Job description

Company Overview
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
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

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 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 Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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