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Remote Baseball Data Analytics Jobs in California

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Deep knowledge of football, basketball or baseball; including roster compositions of professional ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

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 ...

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 ...

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Remote Baseball Data Analytics information

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

AspectRemote Baseball Data AnalyticsRemote Sports Data Analyst
CredentialsDegree in Data Science, Sports Management, or related field; knowledge of baseball statisticsDegree in Data Science, Sports Management, or related field; knowledge of various sports statistics
Work EnvironmentRemote, often with baseball teams, leagues, or analytics firmsRemote, working with multiple sports organizations or media outlets
Industry UsagePrimarily in baseball teams, leagues, and analytics companiesAcross multiple sports including football, basketball, and baseball

Remote Baseball Data Analytics focuses specifically on baseball statistics and team performance, while Remote Sports Data Analyst covers multiple sports. Both roles require similar data analysis skills and often share credentials, but their industry focus differs. The choice depends on your interest in baseball versus broader sports analytics.

What are the most commonly searched types of Baseball Data Analytics jobs in California? The most popular types of Baseball Data Analytics jobs in California are:
What cities in California are hiring for Remote Baseball Data Analytics jobs? Cities in California with the most Remote Baseball Data Analytics job openings:
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 3 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.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

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 NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote