Manage a team of Data Scientists in the field of B2C, monetization
Hands on position (around 70% of the time)
Machine Learning: Design, develop, and implement predictive models using machine learning techniques to address complex business problems.
Data Analysis & Modeling: Collect, clean, and preprocess large datasets from various sources, ensuring data integrity and consistency.
Collaboration: Work closely with cross-functional teams including engineering, product, and business teams to define project goals and deliver data-driven insights.
Statistical Analysis: Apply statistical methods and techniques to test hypotheses and validate models.
Algorithm Development: Research and prototype algorithms to optimize key performance metrics.
Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.
Requirements
Prior experience with managing and leading data scientists
Experience with Machine Learning: Proven track record in B2C environments
Data Analysis: Ability to perform data deep dives, analyze large datasets, and derive actionable insights
Proficiency in Python: Strong coding skills with a focus on writing efficient and scalable ML code
Production Experience: Demonstrated ability to deploy ML models in production, ensuring reliability, scalability, and real-time processing
MSc, or equivalent experience in a scientific field - Computer Science, Mathematics, Engineering, Data Science
Initiator and Promoter: Self-starter who actively proposes new ideas and promotes innovative solutions
Learner: Passion for continuous learning, staying updated on the latest ML trends, tools, and research
Flexible Mindset: Adaptability in approaching problems and adjusting models or strategies as needed