What is a Data Scientist at Swish Analytics?
At Swish Analytics, a Data Scientist plays a pivotal role in driving the core predictive engines that power the company's sports betting, gaming, and media products. You will work at the intersection of machine learning, statistical modeling, and sports domain expertise. The models you build and refine directly impact real-time oddsmaking, player projection systems, and proprietary betting algorithms, making your work highly visible and critical to the company's commercial success.
The role requires managing complex, high-frequency sports data to generate highly accurate predictions under tight latency constraints. Whether you are modeling player performance, predicting game outcomes, or analyzing granular play-by-play dynamics like pitch sequencing in Major League Baseball, your contributions will translate directly into scalable software products. It is a highly demanding but rewarding environment where data science is not just a supporting function, but the primary driver of product value.
To succeed in this position, you must possess strong quantitative foundations, excellent software engineering practices, and a deep appreciation for sports analytics. The team values clean, production-ready code as much as statistical rigor. As a Data Scientist, you will collaborate closely with engineering and product teams to integrate your models into live, consumer-facing APIs, making a tangible impact on how sports fans and betting markets interact with data.


