Machine Learning Engineer - Remote

Overview

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.

In Short

• Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
• Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
• Build, test, deploy and maintain production systems.
• Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
• Support maintenance and optimization of cloud-native EDW and ETL solutions.
• Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
• Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
• Use extensive experience to build, test, debug, and deploy production-grade components.
• Participate in development of database structures that fit into the overall architecture of Swish systems.

Requirements

• Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area.
• 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs.
• Demonstrated experience developing data science modeling systems and infrastructure at scale.
• Experience with Python and exposure to modern machine learning frameworks.
• Proficient in SQL; experience with MySQL.
• Background and interest in Rust preferred.
• Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback.
• Strong communication skills when discussing technical concepts with technical and non-technical colleagues.

Benefits

• Competitive salary and benefits.
• Opportunity to work in a fast-paced, innovative environment.
• Remote work flexibility.
• Collaborative team culture.
• Professional development opportunities.