Staff Data Scientist - (Adtech, Machine Learning)

TN Germany; Berlin; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

A leading company in the AdTech sector is seeking a Staff Data Scientist in Berlin to drive innovative machine learning solutions. You will work with advanced tools to enhance advertising solutions for thousands of vendors. Your role includes analyzing large datasets and mentoring team members while focusing on model deployment and optimization.

Qualifikationen

• Expertise in modeling business problems with machine learning.
• Proven ability to mentor and collaborate effectively within a team.
• Experience deploying large-scale machine learning models in cloud environments.

Aufgaben

• Analyze large-scale datasets and lead research initiatives.
• Design and deploy models using cutting-edge tools and techniques.
• Serve as a subject matter expert to mentor team members.

Kenntnisse

Machine Learning

Collaboration

Critical Thinking

Problem Solving

Tools

SQL

CatBoost

GBM

XGB

GCP

Jobbeschreibung

Here is a refined version of the job description, with improved formatting and focus:

Staff Data Scientist - (Adtech, Machine Learning), Berlin

Client: Delivery Hero

Location: Berlin, Germany

Job Category: Other

EU work permit required: Yes

Job Reference: d029509adc19

Job Views: 1

Posted: 13.05.2025

Expiry Date: 27.06.2025

Job Description

We are seeking Staff Data Scientists to join our AdTech data science team, focusing on machine learning. You will be a key driver in delivering innovative solutions that support thousands of restaurants, shops, and local businesses, empowering vendors with advanced tools to manage their operations and increase their visibility.

At Delivery Hero, our AdTech division connects people with new food and enables partners to reach their customers effectively. We develop products that enhance advertising solutions across over 50 countries, aiming to generate over 1 billion euros in revenue in 2024/25. Our data science team plays a central role in powering personalization, relevance, and recommendation systems.

You will lead innovation by designing and deploying models using cutting-edge tools and techniques, including classical ML, deep neural networks, and reinforcement learning, focusing on ad ranking, bidding strategies, and campaign optimization.

Your responsibilities include analyzing large-scale datasets, leading research initiatives on emerging trends, and serving as a subject matter expert to mentor team members and foster a culture of continuous learning.

Qualifications

• Expertise in modeling business problems with machine learning, including feature engineering, model selection, evaluation, and optimization, delivering significant business value.
• Proven ability to mentor and collaborate effectively within a team.
• Extensive experience with CatBoost, GBM, XGB, with a focus on EDA, feature engineering, and model tuning.
• Proficiency in SQL for data exploration and analysis.
• Experience deploying large-scale machine learning models in cloud environments, preferably GCP.
• A passion for learning, critical thinking, and creative problem-solving.
• Strong collaboration skills with stakeholders across diverse teams.

Nice to have: Experience developing machine learning solutions to maximize advertiser value and platform ad revenue.