Search the 11 jobs at Swish Analytics

As a Frontend Engineer at Swish, you will design and develop a cutting-edge data analytics platform while standardizing development processes. You'll work closely with stakeholders to meet technical requirements, coordinate cross-departmentally, and implement backend solutions using RESTful APIs. An emphasis is placed on producing high-quality, testable software and optimizing data analytics using SQL.

As a Customer Success Associate, you will manage client inquiries, identify pain points, and provide solutions while collaborating with various internal teams. You'll need strong communication skills and an understanding of sports betting.

The role involves developing high-performance and low-latency products, writing and improving Rust and Python code, designing backend software components, and building tools for a live trading platform. Responsibilities also include debugging, testing, and analyzing data inaccuracies.

The Tennis Data Scientist will develop and improve machine learning and statistical models for sports betting products, contribute to model development and deployment stages, analyze model performance, and adhere to software engineering practices while collaborating with various teams.

As a Soccer Data Scientist at Swish Analytics, you will develop and improve machine learning models for sports betting. Responsibilities include creating feature sets, conducting tests, partnering with engineering teams for deployment, and analyzing model performance while adhering to software engineering best practices.

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.

The Staff Software Engineer will lead the development of core backend applications and products, ensuring technical excellence through code reviews, optimizations, and adherence to best practices. They will collaborate in architectural discussions, design and enhance services, and work with data processing technologies to support a variety of business essential products.

As a DevOps Engineer, you will develop, maintain, and implement Kubernetes clusters for machine learning workloads, collaborate with Data Science and Engineering teams on workload optimization, ensure best practices for software deployment, and respond to system incidents.

The Senior Trading Analyst will manage client risk, oversee depth chart accuracy, research news impacting betting markets, and analyze betting trends to inform trading actions. They are expected to leverage their sports betting experience to ensure profitable decision-making and risk management.

As an NFL Data Scientist at Swish Analytics, you will develop and improve machine learning and statistical models for sports betting products. You will contribute to model development stages, analyze model performance, and collaborate with other teams to deploy new models, ensuring adherence to software engineering best practices.

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.