Lead Data Scientist in Hamburg

Energy Jobline ZR; Hamburg; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading global energy job board is seeking a Lead Data Scientist in Hamburg to build and mentor a high-performing data science team. This role involves hands-on work in developing data solutions and collaborating across teams. The position offers a hybrid working model, 30 days annual leave, and comprehensive relocation support. Ideal candidates will have extensive experience in data science and strong leadership skills.

Leistungen

Hybrid working model

30 days annual leave

Comprehensive relocation support

Monthly company lunches

Access to in-house gym

Professional development budget

Mental health support

Qualifikationen

• Minimum 5 years experience in data science.
• At least 2 years of leadership experience.
• Proven analytical skills with large-scale data platforms.

Aufgaben

• Build and lead a data science team.
• Translate business goals into data solutions.
• Contribute significantly to project outcomes.

Kenntnisse

Programming in Python

Analytical skills

Leadership

Solution-oriented mindset

Communication skills

Ausbildung

Degree in mathematics, physics, computer science

Tools

AWS Athena

Kafka

Spark

Flink

Jobbeschreibung

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

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.