Description

At 365Scores, we're revolutionizing how fans receive and interact with live sports updates and data. Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide.

About The Role: As a Data Science Team Leader at 365Scores, you will lead our ambitious Machine Learning and AI initiatives. This role involves leading a strong team of data scientists & ML engineers, focusing on impactful and continuous delivery that directly ties machine learning models to business outcomes.

Responsibilities

• Lead the full lifecycle of machine learning and AI projects, from ideation through execution, ensuring they align with business objectives.
• Mentoring team members, and establishing best practices and efficient processes.
• Manage a diverse portfolio of machine-learning models, balancing immediate needs with long-term innovative projects to maximize business impact.
• Analyze a wide array of data inputs to identify opportunities that align with company goals, transforming complex business and product challenges into actionable data science initiatives.
• Collaborate with stakeholders across the organization to drive multiple, concurrent projects to successful completion

Requirements

• Minimum of 5 years of hands-on experience in data science, machine learning, and AI, preferably in a dynamic, hyper-growth environment.
• At least 3 years of experience managing a data science team, with a proven track record in a similar growth-oriented company.
• Hands-on proven track experience in designing and building solutions on cloud (AWS, GCP, Azure) 
• Hands-on experience with platforms or services such as Qwak, Databricks, Sagemaker, Vertex AI (Advantage)
• Experience working with Data Lakes, In-Memory, Graph & Vector DBs (Advantage)
• Advanced degree in Data Science, Physics, Statistics, Math, Computer Science, Industrial Engineering, or a related quantitative field.
• Strong leadership skills with the ability to manage diverse stakeholders and drive multiple projects simultaneously in a fast-paced environment.
• Proficiency in SQL and Python, with extensive experience in crafting optimized data processing and machine learning pipelines.
• Exceptional communication, collaboration, and leadership skills, coupled with strong business acumen and a team-oriented approach.