תיאור המשרה
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.
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