Product Engineer

Position Overview

• Location Type: Not specified
• Job Type: Not specified
• Salary: $133,000 - $180,000

Swish Analytics is seeking a Product Engineer to join their team. This role is within the Research & Experimentation branch, focused on creating enhancements for future products, scaling internal tools, and supporting new product and feature development. The position offers an opportunity to collaborate with thought leaders in the Sports Data space.

Requirements

• Bachelor's degree in Computer Science, Applied Math, Data Analytics, Data Science, or a related technical field. Master's degree is highly preferred.
• 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical products to serve business needs.
• Knowledge in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.
• Advanced proficiency in Python & SQL.
• 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, with the ability to partner with teams to solve complex problems by taking a broad perspective to identify innovative solutions.
• Excellent communication skills, able to convey information to both technical and non-technical audiences.

Responsibilities

• Expand utilization and adoption of existing models and accelerate the adoption of commonly used proprietary frameworks.
• Establish and refine KPIs and OKRs for scaling and accelerating product offerings.
• Apply large-scale data processing techniques to develop scalable and innovative sports betting products.
• Proactively improve the Rust codebase.
• Source origins of data inaccuracies through data pipeline dependencies and Python codebase.
• Utilize extensive experience to build, test, debug, and deploy production-grade components.
• Stay updated with new approaches to inferential statistics, sampling, and experimental design.
• Examine the integration and scaling of real-world operations, simulations, experiments, and demonstrations.
• Act as an expert Python developer using various machine learning and data science frameworks.
• Provide risk management guidance on methods for assessing and mitigating risk.
• Demonstrate skill in developing or recommending analytic approaches or solutions for situations with incomplete information or no precedent.
• Adhere to software engineering best practices and contribute to shared code repositories.

Company Information

Swish Analytics is a sports analytics, betting, and fantasy startup focused on building the next generation of predictive sports analytics data products. They believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise, rather than intuition. Swish Analytics seeks team-oriented individuals with a passion for accurate, predictive real-time data who can thrive in a fast-paced, creative, and evolving environment while maintaining technical excellence. They encourage candidates comfortable in uncharted territory and passionate about building systems for diverse industries and clients.

Swish Analytics is an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. Position responsibilities may evolve and are not limited to those outlined. Background and reference checks may be required.