• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
Germany Jobs Expertini

Director, Data Science - Deep Learning & AI Job Opening In Berlin – Now Hiring Delivery Hero


Job description

Job Description

We are seeking a Director of Data Science, Deep Learning to lead our deep learning team within the AdTech space, specifically within the Vendor Data team, to shape the future of AI-driven ads and deals at Delivery Hero.

In this pivotal role, you will jointly architect state-of-the-art deep learning models, influence AI strategy, and develop cutting-edge methodologies to significantly enhance the success of thousands of vendors - restaurants, shops, and local businesses - across our platform.

As a senior leader within the Vendor Team, you will be instrumental in building and optimising our AdTech products by leveraging advanced deep learning techniques.

These AI models will play a pivotal role in our AdTech ecosystem, helping vendors to maximise visibility, enhance their conversion rate, and drive substantial revenue growth.

Operating in nearly 70 countries, our AdTech infrastructure connects millions of businesses with their ideal customers daily.

With AdTech projected to generate over €1 billion in revenue in 2024/25, your leadership in deep learning-driven data will be critical in shaping our profitability strategy and advancing our market position.

Key Responsibilities:

  • Deep Learning Mastery: Exceptional expertise in designing and implementing advanced deep learning architectures, particularly transformers and other sequence-based attention-driven AI models, generative ranking approaches, and long-term interest networks for sophisticated user personalisation in AdTech.

  • Rigorous Model Evaluation and Business Impact: Proficient in establishing comprehensive evaluation frameworks for deep learning models, encompassing both internal model-centric metrics (such as NCE, ROCAUC, PRAUC) and the meticulous measurement of business metrics during live A/B testing and experimentation.

  • Cross-Functional Leadership and Alignment: Demonstrated ability to collaborate and align effectively across diverse functions, including engineering, commercial, and product teams, to drive shared goals and ensure the successful, impactful success of deep learning initiatives.

  • Scalable MLOps and Data Engineering: Proven leadership in developing and maintaining highly scalable and robust data and feature pipelines, ensuring the efficient training, deployment, monitoring, and ongoing performance of deep learning models in high-throughput production environments.

  • Technical Vision and Continuous Innovation: Knowledge at the forefront of deep learning and machine learning engineering (MLE) trends and approaches, actively driving the team to adopt cutting-edge methodologies.

    Possesses the expertise to collaborate with senior team members in defining the technical roadmap and leveraging advanced data processing tools like MonteCarlo and dbt to achieve ambitious team objectives.

  • Qualifications

  • Extensive Leadership Experience: At least eight years of professional experience leading and scaling high-performing data science and deep learning teams, with a proven track record of applying advanced AI modelling methods in domains such as AdTech, digital marketplaces, or computational economics.

  • Advanced Academic Background: A master's degree or higher in a quantitative field such as mathematics, physics, computer science, or a related discipline.

  • Deep Technical Proficiency: Strong technical foundation as a previous individual contributor, expert in Python and SQL, with hands-on mastery of deep learning frameworks including Keras, TensorFlow or PyTorch, alongside data manipulation libraries such as Pandas, PySpark, and NumPy.

  • Cloud-Scale Data Expertise: Demonstrated expertise in managing, modelling, and deploying deep learning solutions with high-volume, real-time data within cloud environments.

  • Strategic Communication: Exceptional ability to communicate complex deep learning concepts and their business implications clearly and concisely to both technical teams and senior leadership.

  • Required Skill Profession

    Mathematical Science Occupations


    • Job Details

    Related Jobs

    Delivery Hero hiring Director, Data Science - Deep Learning & AI Job in Berlin, Berlin, Germany
    Delivery Hero
    Berlin, Berlin, Germany
    Microsoft hiring Senior Researcher in Deep Learning - AI for Science Job in Berlin, Berlin, Germany
    Microsoft
    Berlin, Berlin, Germany
    Microsoft Corporation hiring Senior Researcher in Deep Learning - AI for Science Job in Berlin, , Germany
    Microsoft Corporation
    Berlin, , Germany
    Microsoft Corporation hiring Senior Researcher in Deep Learning - AI for Science Job in Berlin, Germany, Germany
    Microsoft Corporation
    Berlin, Germany, Germany
    Avo Intelligence hiring Deep Learning Researcher Job in Berlin, Berlin, Germany
    Avo Intelligence
    Berlin, Berlin, Germany
    diconium data hiring Director Data Science & Data Engineering (all genders) Job in Stuttgart, Baden-Württemberg, Germany
    diconium data
    Stuttgart, Baden-Württemberg, Germany
    Machine Learning Reply hiring IT-PROJEKTMANAGER || MACHINE LEARNING, DATA & AI Job in Munich, Bavaria, Germany
    Machine Learning Reply
    Munich, Bavaria, Germany
    Machine Learning Reply hiring IT-PROJEKTMANAGER || MACHINE LEARNING, DATA & AI Job in Berlin, Berlin, Germany
    Machine Learning Reply
    Berlin, Berlin, Germany
    GSK hiring Director of Oncology Genomics & Data Science Job in Heidelberg, Baden-Württemberg, Germany
    GSK
    Heidelberg, Baden-Württemberg, Germany
    GSK hiring Director of Oncology Genomics & Data Science Job in Heidelberg, Baden-Württemberg, Germany
    GSK
    Heidelberg, Baden-Württemberg, Germany
    EXXETA hiring Lead Data Science & AI (all genders) Job in Berlin, Berlin, Germany
    EXXETA
    Berlin, Berlin, Germany
    EXXETA hiring Lead Data Science & AI (all genders) Job in Mannheim, Baden-Württemberg, Germany
    EXXETA
    Mannheim, Baden-Württemberg, Germany
    EXXETA hiring Lead Data Science & AI (all genders) Job in Karlsruhe, Baden-Württemberg, Germany
    EXXETA
    Karlsruhe, Baden-Württemberg, Germany
    Microsoft Corporation hiring Senior Machine Learning Researcher - MSR AI for Science Job in Multiple Locations, , Germany
    Microsoft Corporation
    Multiple Locations, , Germany
    Fraunhofer hiring BT/MT: »Deep learning and machine learning in production« Job in Aachen, North Rhine-Westphalia, Germany
    Fraunhofer
    Aachen, North Rhine-Westphalia, Germany
    DACHSER SE hiring Consultant (m/w/d) Data Science & Machine Learning Job in Kempten, Bavaria, Germany
    DACHSER SE
    Kempten, Bavaria, Germany
    Vality One Recruitment GmbH hiring Director Computational Biology & Data Science (gn) (gn) Job in Hamburg, Hamburg, Germany
    Vality One Recruitment GmbH
    Hamburg, Hamburg, Germany
    McKinsey & Company hiring Data Science Consultant - QuantumBlack, AI by McKinsey Job in Düsseldorf, North Rhine-Westphalia, Germany
    McKinsey & Company
    Düsseldorf, North Rhine-Westphalia, Germany
    McKinsey & Company hiring Data Science Consultant - QuantumBlack, AI by McKinsey Job in Frankfurt, Hessen, Germany
    McKinsey & Company
    Frankfurt, Hessen, Germany
    McKinsey & Company hiring Data Science Consultant - QuantumBlack, AI by McKinsey Job in Cologne, North Rhine-Westphalia, Germany
    McKinsey & Company
    Cologne, North Rhine-Westphalia, Germany

    Unlock Your Director Data Potential: Insight & Career Growth Guide


    Real-time Director Data Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Director Data in Berlin, Germany, highlighting market share and opportunities for professionals in Director Data roles.

    7277 Jobs in Germany
    7277
    944 Jobs in Berlin
    944
    Download Director Data Jobs Trends in Berlin and Germany

    Are You Looking for Director, Data Science Deep Learning & AI Job?

    Great news! is currently hiring and seeking a Director, Data Science Deep Learning & AI to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Delivery Hero adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Germany laws and regulations

    What Is the Average Salary Range for Director, Data Science Deep Learning & AI Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Director, Data Science Deep Learning & AI?

    Key qualifications for Director, Data Science Deep Learning & AI typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Director, Data Science Deep Learning & AI?

    To improve your chances of getting hired for Director, Data Science Deep Learning & AI, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Director, Data Science Deep Learning & AI Job Success

    Delivery Hero interview tips for Director, Data Science   Deep Learning & AI

    Here are some tips to help you prepare for and ace your Director, Data Science Deep Learning & AI job interview:

    Before the Interview:

    Research: Learn about the Delivery Hero's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Director, Data Science Deep Learning & AI interview at Delivery Hero, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Delivery Hero's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

    How to Set Up Job Alerts for Director, Data Science Deep Learning & AI Positions

    Setting up job alerts for Director, Data Science Deep Learning & AI is easy with Germany Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!