Full-Time
Front End Engineer
Posted on 4/9/2024
Machine learning for US sports betting analytics
Compensation Overview
$110,000 - $145,000Annually
Mid
Remote in USA
- Bachelor Degree in Computer Science, Computer Engineering, Software Engineering, or similar field.
- Minimum of 4+ years of software development experience.
- Minimum of 1 year of production experience in backend Restful API development (experience with Django, Flask, Pyramid, or another RESTful development framework is desirable.)
- Expert-level front-end software development skills with JavaScript, ReactJS, NodeJS.
- Ability to drive projects end to end.
- Solid background in complicated SQL & data analytics.
- Designing and developing the next-generation data analytics platform using cutting-edge technologies.
- Standardizing processes for the complete development cycle including design, implementation, unit testing, code review, testing automation, etc.
- Researching and adopting the right technologies to improve the scalability and productivity of the trading analytics group.
- Working closely with key stakeholders and product owners to drive technical design for requirements of various use cases.
- Coordinating with departments (DE, DevOps, Product, Finance, DS, etc.) to ensure a smooth cycle from development to deployment.
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