Full-Time
Data Engineer
Trading Analytics
Posted on 4/3/2024
Machine learning for US sports betting analytics
Junior, Mid, Senior, Expert
San Francisco, CA, USA
- BS degree or higher in Computer Science, Data Science, Data Analytics or similar major
- Minimum of 1 year of experience writing production level code
- Proficiency in Python (pandas, NumPy)
- Proficiency in SQL (preferably MySQL)
- Experience utilizing REST APIs
- Experience in SQL database management, shema design, index structuring
- 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
- Advance data engineering aspects of Trading Analytics, enabling faster and better trading decisions and reducing the reliance on manual reporting
- Lead Trading team and customer based reporting, as well as on-demand data needs for Swish
- Develop impactful and accurate reports, dashboards, and other data visualizations
- Maintain data integrity and ongoing quality of delivered reports
- Identify data quality issues and work with Data Science, Data Engineering, and Software Engineering teams to resolve challenges
- Integrate large, complex real-time datasets into new consumer and enterprise products
- Develop production-level predictive analytics into enterprise-grade APIs
- Contribute to the implementation of fully-automated sports data delivery frameworks
Swish Analytics is at the forefront of sports betting analytics, specializing in machine learning systems that enhance betting strategies and outcomes in major US sports. The company leverages advanced algorithm-driven predictions and proprietary trading software to refine risk management and odds calculation in NBA, NFL, MLB, and NHL betting. This focus on cutting-edge technology and industry-specific expertise makes it an attractive environment for professionals passionate about sports data and analytics, offering a dynamic and forward-thinking workplace culture.
Company Stage
Series C
Total Funding
$29.8M
Headquarters
San Francisco, California
Founded
2014