Top Tech Jobs & Startup Jobs

As a Business Intelligence Specialist for the Risk Enablement team, you will analyze data to identify and mitigate risks through actionable insights. Responsibilities include preparing detailed reports, simplifying operational dashboards, collaborating across departments, and conducting ad hoc analyses to support risk management efforts.

As a Senior Software Engineer, you will develop systems and APIs, care about agility and scalability, lead teams, and work in a Cloud Computing environment. Join a global team shaping the future of responsible gaming and sports entertainment experiences.

In this role, you will coordinate hosting experiences, manage event logistics, and collaborate with VIP teams to enhance customer experiences at events. Your focus will be on delivering exceptional hospitality while ensuring operational excellence across various occasions.

As a Manager of Data Science Engineering, you will manage a team of sports modellers, oversee the design and development of sports models and applications, collaborate with business leads, contribute to DS project architecture, and mentor engineers to ensure high-quality output.

Lead Data Science Engineer role at a sports and entertainment technology company involved in developing cutting-edge products and shaping the future of responsible gaming. Responsibilities include implementing DS applications, creating statistical and machine learning models, data engineering, writing production quality code, collaborating with various teams, and coaching junior data scientists. Requires expertise in Python, database technologies, ML automation, AWS, DevOps principles, and Kubernetes. Strong communication and organizational skills are essential.

As a Technical Support Specialist, you will troubleshoot and resolve technical issues related to retail applications, providing quality support to business customers and collaborating with various teams to ensure customer satisfaction.

As a Senior Analyst, you will optimize fantasy products by collaborating with cross-functional teams to analyze customer behavior, develop tools, and acquire actionable insights from large datasets. Your role will include creating dashboards in Tableau, mentoring analysts, and ensuring data integrity with Data Engineering teams.