Data Scientist

This is a fully remote position, open to applicants in California.

📋 Description

• Generate, enhance, and refine machine learning and statistical models that power Swish’s essential algorithms for creating cutting-edge sports betting products.

• Create contextualized feature sets by leveraging knowledge specific to sports domains.

• Participate in all phases of model development, from the creation of proof-of-concepts and beta testing to collaborating with data engineering and product teams for the deployment of new models.

• Aim for continuous improvement in model performance by utilizing insights gained from thorough offline and online experimentation.

• Evaluate results and outputs to measure model performance and pinpoint weaknesses to guide development efforts.

• Follow software engineering best practices and contribute to communal code repositories.

• Document modeling activities and present findings to stakeholders as well as other technical and non-technical collaborators.

⛳️ Requirements

• Master's degree in Data Analytics, Data Science, Computer Science, or a related technical field.

• Proven experience in developing production-scale models for NFL, CFB, or sports betting with at least 2 years in the field.

• Proficiency in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.

• Over 5 years of demonstrated experience in developing and delivering impactful machine learning and/or statistical models to meet business requirements in sports or sports betting.

• Familiarity with relational SQL and Python.

• Experience with source control systems such as GitHub and related CI/CD methodologies.

• Background in working within AWS environments, among others.

• Established track record of strong leadership abilities.

• Demonstrated capability to collaborate with teams in addressing complex challenges by adopting a broad perspective to uncover innovative solutions.

• Exceptional communication skills suitable for both technical and non-technical audiences.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Comprehensive health and wellness benefits.

• Collaborative and inclusive work environment.