Full-Time

NHL Data Scientist

Confirmed live in the last 24 hours

Swish Analytics

Swish Analytics

51-200 employees

Sports analytics and optimization tools provider

Fintech
AI & Machine Learning
Financial Services

Compensation Overview

$107k - $175kAnnually

Mid, Senior

Remote in USA

Position is remote from the USA.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
Git
SQL
Machine Learning
AWS
Data Analysis

You match the following Swish Analytics's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NHL 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 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
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.

Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Their goal is to maximize return on investment for clients by identifying the best bets while balancing risk and reward. Users can access their services through a subscription model, starting with a free trial and offering various plans for different levels of access.

Company Stage

Seed

Total Funding

$6.5M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

-9%

2 year growth

-9%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.
  • The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.
  • Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

What critics are saying

  • Increased competition from AI-driven startups could erode Swish Analytics' market share.
  • Consumer privacy concerns may impact Swish Analytics' data collection practices.
  • Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

What makes Swish Analytics unique

  • Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.
  • The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.
  • Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

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Benefits

Remote Work Options