Data Scientist

Summary

Join Swish Analytics, a sports analytics startup, as an NFL Data Scientist! This remote, US-based position offers the opportunity to significantly impact the development of core data products. You will ideate, develop, and improve machine learning and statistical models for state-of-the-art sports betting products. The role requires expertise in various statistical and machine learning techniques, experience with SQL and Python, and strong communication skills. A competitive base salary of $107,000-175,000 is offered. Swish Analytics is an equal opportunity employer.

Requirements

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
• Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 1+ years
• Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
• 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
• Experience with relational SQL & Python
• Experience with source control tools such as GitHub and related CI/CD processes
• Experience working in AWS environments
• Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
• Excellent communication skills to both technical and non-technical audiences

Responsibilities

• 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 technical and non-technical partners

Benefits

• Base salary: $107,000-175,000
• Remote work