Description

Rise offers fully programmatic media solutions for publishers, empowering them to make informed business decisions through advanced data-powered solutions and AI models. Our platform seamlessly integrates with their content and enhances the user experience. With advancements perfectly tailored to meet advertising needs, publishers are enabled to maximize both revenues and profits.

We are looking for an excellent Data Science Team Lead to join our team! Stand as the unique leader, positioned at the intersection of programmatic advertising.

Rise offers fully programmatic media solutions for publishers, empowering them to make informed business decisions through advanced data-powered solutions and AI models. Our platform seamlessly integrates with their content and enhances the user experience. With advancements perfectly tailored to meet advertising needs, publishers are enabled to maximize both revenues and profits.

Responsibilities:​

• Lead and mentor a team of highly skilled and success-driven Data Scientists.
• Devise creative solutions to complex problems, using statistics, domain expertise, ML, recommendation system, or anything else.
• Provide guidance and support in initiating and managing cutting-edge projects from research to delivery.
• Streamline processes and be responsible for the overall revenue streams of the company.
• Influence cross-functional teams and collaborate with other departments (Management, R&D, Product) to support decision-making.
• Work alongside domain experts to define and develop the way we should optimize the programmatic pipeline.
• Promote solutions and sophisticated ideas, communicate them to peers, management and customers. Be the Data Science face of the identity network domain of the company.

Requirements:

• Proven record of at least 3 years of leading a team of experienced data scientists with clear KPIs and results that “moved the needle”. Strong academic background and hands-on industry experience. Working with analysts or domain experts.
• MSc in Statistics, Engineering, Computer Science or a related field.
• Proven team building and management abilities.
• Delivery oriented and capable: Algorithms, processes, specifications to R&D.
• Proactive. Tell us where we can use data more effectively, but we currently do not. Draw the boundaries of what is possible - you are the expert.
• Wide knowledge of statistical methods and hands-on experience with machine learning algorithms.
• Background in: Python, SQL,
• Experience with Big Data, including parallel processing of NoSQL data stores - a plus.

Advantages:

• Experience in the AdTech industry
• Experience working on applied recommendations system solutions.
• Experience with ML frameworks (e.g., DataBricks, Sagemaker).
• Experience with large volume data storage platforms (bigquery, presto).
• Experience with deep (reinforcement) learning algorithms.
• Big plus if you have experience in implementing real-time machine learning and data mining algorithms in large-scale environments.