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# {SPORT} Data Scientist

- **Company:** Swish Analytics Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Data Analysis, Big Data, Cloud Computing, Continuous Integration, Web Scraping, Extract Transform Load (ETL), Python (Programming Language), MySQL, Raw Data, Shell Script, SQL Databases, Unstructured Data, Git, Kubernetes, Information Technology, Low Latency, Real Time Data, Data Delivery, Restful APIs, Software Version Control
- **Published:** July 21, 2026
- **Apply:** https://www.teamworkonline.com/employment_opportunities/2181002/interest_expressions/new

## About the Role

* 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

## 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., * 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


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