Search the 9 jobs at Swish Analytics

Swish Analytics is seeking a Data Engineer to support the Trading Analytics team by advancing data engineering aspects, developing reports and visualizations, maintaining data integrity, and integrating real-time datasets into products. Remote position with a focus on predictive analytics and real-time 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.

The MLB Data Scientist at Swish Analytics will be responsible for developing machine learning and statistical models for sports betting products. They will work with a team to improve model performance and contribute to all stages of model development.

Manage client risk, oversee depth chart accuracy, research & track news sources, analyze betting trends.

Swish Analytics is seeking an NHL Data Scientist to develop machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, and model performance analysis. The role requires a master's degree in a relevant field and expertise in probability theory, machine learning, and NHL rules. Strong communication and leadership skills are essential. Salary ranges from $107,000 to $175,000 per year.

Join Swish Analytics as a Tennis Data Scientist and contribute to the development of state-of-the-art sports betting products. You will develop machine learning and statistical models, analyze performance, and improve model accuracy. A master's degree in Data Analytics or related field, along with 4+ years of experience in developing and delivering machine learning models, is required. Proficiency in SQL and Python is also necessary.

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 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.

Manage client risk, oversee depth chart accuracy, research betting trends, and analyze data to make trading decisions. Work remotely with a focus on improving profitability and results in a fast-paced sports analytics environment.