Search the 9 jobs at Swish Analytics

Develop high-performance and low-latency products using Rust, design core backend software components, build tools to support live trading platform, and improve Rust and Python codebase. Requires a Bachelor's degree in Computer Science, 1 year of Rust experience, and 3 years of developing production systems.

Seeking a Senior Trading Analyst with a minimum of 3 years in-game play experience at an online sportsbook. Responsibilities include managing client risk, overseeing depth chart accuracy, researching news sources, and analyzing betting trends. Strong mathematical and statistical skills required.

Looking for a Research & Experimentation Scientist to enhance sports betting algorithms and models using large-scale data processing techniques. Must have strong leadership skills and experience in machine learning, statistics, and AWS environments.

Swish Analytics is seeking an NFL Data Scientist to develop and improve machine learning models for sports betting products. Responsibilities include model development, feature set creation, performance analysis, and collaboration with teams. Requires a master's degree, 4+ years of experience in sports betting models, and expertise in key statistical areas.

Develop, maintain, and implement Kubernetes clusters at scale for heavy/spiky ML workloads. Optimize and scale workloads on Kubernetes using CI/CD, automation tools, and scripting languages. Implement best practices for software deployment and code management. Monitor system and respond to incidents to maintain system SLO/SLA. Provide on-call support as needed.

Design and develop the next-generation data analytics platform using cutting-edge technologies. Standardize processes for development cycle, research and adopt new technologies, and collaborate with key stakeholders.

Swish Analytics is seeking a Staff Software Engineer with 8+ years of experience to lead and own the development of business essential products. Responsibilities include technical leadership, code reviews, optimizations, design enhancements, and working with globally distributed data. Preferred qualifications include experience with global software engineering, GO, Kafka, Docker, Kubernetes, and sports data.

As a Site Reliability Engineer at Swish Analytics, you will be responsible for supporting production systems, monitoring and responding to incidents, optimizing incident response, and working on complex distributed systems. You will also work closely with technical teams to implement and scale workloads using Kubernetes and CI/CD tools. The position requires at least 3 years of experience in SRE or DevOps roles.

Hiring Basketball Data Scientist to develop machine learning and statistical models for sports analytics and betting products. Responsibilities include model development, feature set creation, model performance analysis, and documentation. Must have a Master's degree, experience in sports analytics, and proficiency in Python and SQL.