NHL Data Scientist

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Company Overview

Swish Analytics is a dynamic sports analytics, betting, and fantasy startup known for building the next generation of predictive sports analytics data products. Their mission emphasizes the analytical side of oddsmaking, viewing it as a challenge more rooted in engineering and mathematics than in intuition. The company is committed to hiring individuals who possess a passion for accurate and predictive real-time data and can thrive in a fast-paced, innovative, and continuously evolving environment.

Job Description

The NHL Data Scientist position is a pivotal role within Swish Analytics, located remotely from the USA. With data science being at the core of their business model, this team possesses significant ownership and impact over the development of essential components of Swish's data products. This position invites individuals who enjoy using their statistical knowledge to contribute to the sports betting industry.

Responsibilities

The responsibilities associated with the NHL Data Scientist role include:

• Ideating, developing, and enhancing machine learning and statistical models that will feed into Swish's core algorithms for sports betting
• Creating a contextualized feature set using sports-specific domain knowledge
• Contributing across all stages of model development—from creating proofs-of-concept and beta-testing to collaborating with data engineering and product teams to deploy new models
• Constantly improving model performance with insights derived from rigorous offline and online experimentation
• Analyzing results and outputs to evaluate model performance, helping to identify weaknesses that can guide development efforts
• Adhering to software engineering best practices and contributing to shared code repositories
• Documenting modeling work and presenting findings to stakeholders, catering to both technical and non-technical audiences

Required Skills and Qualifications

Candidates looking to apply for the NHL Data Scientist role should possess:

• A Master’s degree in Data Analytics, Data Science, Computer Science, or a related technical field
• A minimum of 2+ years’ experience developing models specifically tailored for hockey or sports betting
• Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods
• 5+ years’ demonstrated experience in delivering effective machine learning or statistical models that serve business needs in sports or sports betting
• Proficiency with relational SQL and Python
• Familiarity with source control tools such as GitHub and an understanding of related CI/CD processes
• Experience working within AWS environments is a plus
• Strong leadership skills and the ability to partner with teams to tackle complex problems creatively
• Excellent communication skills to engage with both technical and non-technical audiences

Salary Information

The base salary for the NHL Data Scientist role is competitive, with a starting salary of $130,000. This reflects the company’s commitment to recognizing the value of skilled professionals in a specialized field.

Employer Commitment

Swish Analytics promotes a diverse and inclusive workplace, adhering to an Equal Opportunity Employment policy. All candidates who meet the qualifications will be considered without discrimination based on race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic information, military or veteran status, marital status, or any other characteristic protected by law.

Additional Information

Applicants should note that while the responsibilities listed above cover the core functions of the role, they are not exhaustive. The responsibilities may undergo change as necessary, and the successful completion of background and reference checks may be required.

In summary, the NHL Data Scientist position at Swish Analytics offers a unique opportunity to engage deeply with data science and sports analytics, making it an attractive role for professionals keen on enhancing sports betting products through cutting-edge model development.

This job offer was originally published on himalayas.app