NFL Data Scientist
Role Overview
This role involves developing and improving machine learning and statistical models for sports betting products, including creating feature sets, testing, deploying models, and analyzing performance. It is a data scientist position with ownership over core algorithms, working in a team-oriented environment to impact predictive analytics. The level is not explicitly stated but implies mid to senior due to the emphasis on model development and collaboration with engineering and product teams.
Perks & Benefits
The job is remote within the USA, offering flexibility in location. It provides opportunities for career growth in a fast-paced, creative startup environment focused on technical excellence and innovation. Benefits likely include a collaborative culture with team-oriented individuals, though specific perks like health insurance or time zone expectations are not detailed but can be assumed based on typical tech roles.
Full 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. Job Description Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:
Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. Develop contextualized feature sets using sports specific domain knowledge. Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. Strive to constantly improve model performance using insights from rigorous offline and online experimentation. Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. Adhere to software engineering best practices and contribute to shared code repositories. Document modeling work and present to stakeholders and other techniPlease mention the word **JUBILANT** and tag RMTY3LjIzNS4xMy4xNg== when applying to show you read the job post completely (#RMTY3LjIzNS4xMy4xNg==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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