Data Science Manager
Mls
Confirmed live in the last 24 hours
Swish Analytics

51-200 employees

Predictive sports analytics and betting software provider
Company Overview
Swish Analytics offers a unique blend of sports analytics and betting expertise, leveraging advanced algorithms and machine learning to provide accurate predictions and risk management tools for the four major U.S. sports. Their commitment to transparency and empowering players with data-driven tools has led to the development of industry-leading DFS tools, including the lineup optimizer. The company's culture fosters innovation and collaboration among a team of data scientists, engineers, and developers, making it an ideal workplace for those passionate about sports betting and fantasy sports.
AI & Machine Learning
Consumer Goods
Data & Analytics

Company Stage

Series C

Total Funding

$29.8M

Founded

2014

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

12%

1 year growth

31%

2 year growth

124%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Git
Data Structures & Algorithms
AWS
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
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
  • 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
  • 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