Data Science Manager (MLS)

Key Skills

AWS, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Effective communication skills, Github, Leadership Skill, Machine learning techniques, Python Programming, Statistics

Job 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 enterprise clients. This position is 100% Remote

Swish Analytics is looking for a hands-on Data Science Manager - Major League Soccer 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.

Duties:

Provide hands-on leadership to data professionals to execute on the following deliverables:

• Own the end-to-end data pipeline that will be used for developing predictive models
• Develop algorithms to provide player props for in-game play for MLS
• Communicate and track key performance metrics for model
• Mentor others on the team while owning independent deliverables
• Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products
• 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
• Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
• Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area; PhD degree preferred
• Demonstrated experience developing models at production scale for MLS, sportsbook, or other professional soccer leagues
• Proficient in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
• 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs
• Demonstrated experience leading a team of 3 or more Data Scientists
• Advanced level skills in Python to ingest, clean, model and visualize data
• Understanding of the sports betting marketplace or experience analyzing sports data
• Proven ability to train/mentor team members in utilizing best practices for software development as well as data science implementations
• Experience with source control tools such as GitHub and related CI/CD processes
• Experience working in AWS environments etc
• 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

Base salary: $170,000 - 210,000