Lead Data Scientist in Hamburg

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Job Description

A fast-moving team working at the forefront of mobile advertising is looking for a Lead Data Scientist to help shape the future of programmatic monetisation. This role offers the opportunity to work on real-time bidding systems where ads are auctioned and rendered in milliseconds across thousands of mobile apps.

The team develops advanced algorithms and data-driven systems that directly compete with some of the biggest names in the industry. With a focus on research-driven innovation, the team aims to balance the needs of users, publishers, and advertisers while maintaining a high-quality user experience.

The Lead Data Scientist will be responsible for growing and mentoring a team, driving technical direction, and contributing directly to data science projects. At least half of the role will involve hands‑on work, with the remainder focused on leadership, collaboration, and strategic planning.

Key Responsibilities

• Build and lead a high-performing data science team, including hiring, mentoring, and setting best practices
• Translate business goals into data solutions that strengthen the competitiveness of the ad platform
• Work on data science tasks individually, contributing significantly to project outcomes
• Document experiments, methodologies, and implementation details clearly
• Collaborate closely with product, infrastructure, and business teams
• Contribute to strategic planning and define quarterly and long‑term objectives

Required Skills and Experience

• A degree in mathematics, physics, computer science or equivalent experience in data science (minimum 5 years)
• At least 2 years of leadership experience, including line management and career development support
• Strong programming skills in Python, R, Scala, Julia or similar
• Proven analytical skills and a solution‑oriented mindset
• Experience working with large-scale data platforms such as AWS Athena, Kafka, Spark, Flink, and S3
• Expertise in scaling recommendation systems
• Ability to explain complex mathematical concepts in simple terms
• Excellent communication skills and experience working across teams

Desirable

• Experience building and selecting technologies for a modern data science tech stack (e.g. Airflow, Kafka, Flink)
• Understanding of MLOps and collaboration with engineering teams

Benefits and Perks

• Hybrid working model with up to two remote days per week and three weeks per year of remote work from anywhere
• 30 days annual leave
• Comprehensive relocation support including visa assistance, relocation bonus, and reimbursement for courses
• Monthly company lunches, snacks, and fresh pastries
• Access to an in‑house gym, personal trainer, and wellness classes
• Frequent team and company events
• Budget for professional development, training, and certifications
• Equity programme for full‑time employees
• Mental health and wellbeing support through a dedicated assistance programme

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

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