Jobs at Swish Analytics

• Bring your innovation and experience in designing and developing the next-generation data analytics platform using cutting-edge technologies.
• Standardize processes for the complete development cycle including design, implementation, unit testing, code review, testing automation, etc.

• Establish yourself as an expert and communicator of Swish’s products and services
• Manage day-to-day inbound client inquiries over Slack, email and video conferencing

• Establish yourself as an expert and communicator of Swish’s products and services
• Manage day-to-day inbound client inquiries over Slack, email and video conferencing

• Negotiate, drafting and structuring commercial agreements including:

the acquisition of sports data
the supply of oddsmaking services
the licensing of Swish intellectual property; and
any other contractual arrangements required by Swish

• the acquisition of sports data

• Expand utilization and adoption of existing models and accelerate adoption of commonly used proprietary frameworks.
• Establish and refine KPI's and OKR's for scaling and accelerating the product offerings.

• Use your experience to develop, maintain and implement Kubernetes clusters at scale that are ready for heavy/spiky ML workloads
• Work closely with Data Science and Data Engineering teams to implement, optimize and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages

• Develop, implement, and maintain a comprehensive security strategy across multiple areas of focus.
• Conduct regular risk assessments to identify potential vulnerabilities, threats, and develop mitigation plans.

• Develop high-performance and low-latency products to verify results and provide reliability for in-game play
• Write Rust code, that's sophisticated, fast, and readable for complex, data science infrastructure

• Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.
• Develop contextualized feature sets using specific domain knowledge in soccer.

• Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.
• Develop contextualized feature sets using sports specific domain knowledge.

• Be the technical lead and owner for key products of our core backend applications.
• Perform code reviews and provide constructive feedback.

• Manage client risk, ensuring the highest margins on Swish products through +EV decisions
• Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings

• Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.
• Develop contextualized feature sets using sports specific domain knowledge.

• Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.
• Develop contextualized feature sets using sports specific domain knowledge.