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Senior Data Scientist (Logistics, Service)

Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

We are on the lookout for a Senior Data Scientist (NLP) - Logistics, Service (all genders) to join our team to help us create outstanding customer service products using NLP, machine learning and generative AI.

You will join the Service Data Science squad on our mission to automate and optimize interactions with customers, making sure they have a high quality experience which scales as our business grows. We pride ourselves on our ability to connect research and theory to practical problems, and to bring our solutions to production systems. The squad is supported by an amazing team of ML Engineers who build reusable tooling, so our Data Scientists are able to focus on solving the modelling challenges. We also integrate closely with product teams so that we keep connected to the needs of the organization.

If you are a creative problem solver who is hungry for a new adventure, a diverse, international and inclusive workplace is waiting for you in the heart of Berlin!

Your mission:

  • Conceptualize the right modelling approach for challenges in the field of Customer Service at scale, together with your squad lead and our stakeholders, using cutting-edge research to inform your decisions

  • Build solutions end-to-end from inception to production-grade systems - including research & prototyping, gathering data requirements, cross-team alignment, product development, experimentation, deployment and monitoring.

  • Contribute and make an impact in a global, fast-moving tech organization.

  • Have fun and grow together with your team.

Qualifications

  • You have 5+ years of experience working as a Data Scientist in industry, or in equivalent academic roles
  • You have experience applying machine learning or statistical methods to real-world datasets and a proven track record of delivering data science solutions to production systems.

  • You are familiar with classical NLP and NLU problems, such as text classification, summarisation, translation, NER and speech-to-text.

  • You are familiar with libraries such as HF Transformers, SpaCY, pytorch or JAX, as well as gen-ai tooling such as llama.cpp, langchain or similar. You also understand typical Generative AI model architectures such as transformers, VAE or GANs, frameworks such as  Retrieval Augmented Generation, and are familiar with finetuning methods such as LORA.

  • You are fluent in Python, and familiar with a range of scientific and statistical libraries. Other languages are a bonus!

  • You have a strong working knowledge of AB testing, and experience of designing and analysing experiments to inform the development of products

  • You have experience with a range of software engineering tools including Git, Docker, cloud technologies (GCP/AWS), Kubernetes, CI/CD, and pipeline tools such as Metaflow.

  • You write maintainable code that follows best practices in software engineering.

  • You are fluent in English.

Additional Information

  • Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service

  • We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.

  • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy

  • Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank,  Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan

  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.

  • Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring -- therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent.

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

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CEO of Delivery Hero
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Average salary estimate

$80000 / YEARLY (est.)
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$70000K
$90000K

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What You Should Know About Senior Data Scientist (Logistics, Service), Delivery Hero

Are you ready to dive into the world of data science with one of Europe's leading tech platforms? At Delivery Hero in Berlin, we're looking for a Senior Data Scientist (Logistics, Service) to join our dynamic team dedicated to revolutionizing customer service. In this role, you'll leverage your experience with NLP, machine learning, and generative AI to enhance customer interactions and ensure that every experience is top-notch. You'll be part of our Service Data Science squad, collaborating closely with product teams and ML Engineers to turn innovative concepts into practical, production-ready solutions. Imagine conceptualizing modeling approaches that address real challenges in customer service, all while having fun and growing alongside an amazing team! Your responsibilities will include building end-to-end systems, from initial research and prototyping through deployment and monitoring. With competitive offerings like flexible work arrangements, personal growth budgets, and health initiatives, you’ll thrive professionally and personally. If you’re passionate about applying machine learning to real-world problems and want to be part of something bigger, we'd love to hear from you. Join us in shaping the future of delivery!

Frequently Asked Questions (FAQs) for Senior Data Scientist (Logistics, Service) Role at Delivery Hero
What are the day-to-day responsibilities of a Senior Data Scientist (Logistics, Service) at Delivery Hero?

As a Senior Data Scientist (Logistics, Service) at Delivery Hero, your day-to-day responsibilities will revolve around optimizing and automating customer service interactions using advanced NLP and machine learning techniques. You'll work closely with both your Service Data Science squad and product teams to conceptualize and implement modeling approaches. Additionally, you will be involved in every stage of the project lifecycle, from research and data gathering to deployment and monitoring, ensuring high-quality customer experiences as our company scales.

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What qualifications do I need to apply for the Senior Data Scientist position at Delivery Hero?

To apply for the Senior Data Scientist (Logistics, Service) position at Delivery Hero, you should ideally have 5+ years of experience in data science roles, whether in industry or academia. Familiarity with classical NLP problems, experience with libraries like HF Transformers or SpaCY, and fluency in Python are essential. A strong background in machine learning, as well as a good understanding of AB testing and experiment design, will be crucial for your success in this role.

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What tools and technologies should a Senior Data Scientist know for the position at Delivery Hero?

In the Senior Data Scientist (Logistics, Service) role at Delivery Hero, it's important to be comfortable with machine learning libraries such as PyTorch and JAX, alongside generative AI tooling. Familiarity with software engineering tools like Git, Docker, and cloud technologies (GCP/AWS) is essential. Knowledge of CI/CD pipelines, monitoring tools, and experience with frameworks for fine-tuning models will also serve you well in this cutting-edge environment.

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How does Delivery Hero support employee growth for the Senior Data Scientist?

At Delivery Hero, we believe in fostering employee growth for our Senior Data Scientists through various development initiatives. We offer a €1,000 educational budget for training and courses, access to language courses, and resources like the Udemy Business platform for a wide range of online learning opportunities. These initiatives are designed to ensure that you continue to grow professionally and enhance your skills as you contribute to our mission.

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What is the company culture like for a Senior Data Scientist (Logistics, Service) at Delivery Hero?

The company culture at Delivery Hero is vibrant, diverse, and inclusive, making it an exciting place for a Senior Data Scientist (Logistics, Service) to thrive. We prioritize collaboration, creativity, and fun while working towards impactful solutions. With a strong focus on employee well-being, including flexible working arrangements and health programs, you're encouraged to be yourself and bring your full potential to the workplace.

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Common Interview Questions for Senior Data Scientist (Logistics, Service)
Can you describe your experience with NLP techniques and how it relates to your role as a Senior Data Scientist?

In preparing your response, highlight specific NLP projects you've worked on, detailing the methodologies used, such as text classification or summarization. Mention how these experiences align with the role at Delivery Hero and emphasize your understanding of modeling approaches applied in customer service settings.

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How do you approach building a machine learning model from inception to production?

Outline your approach in a step-by-step manner, starting from defining the problem statement, gathering data, and exploratory data analysis, through to model selection, training, and evaluation. Be sure to emphasize your collaboration with cross-functional teams, which is crucial in a role like the Senior Data Scientist at Delivery Hero.

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What tools have you used for AB testing, and how do you analyze the results?

Discuss specific tools you've employed for AB testing, such as Optimizely or Google Analytics. Explain your method of analyzing results, focusing on metrics like conversion rates and statistical significance, and how these insights can inform product decisions at Delivery Hero.

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Can you give an example of a successful project you worked on that utilized generative AI?

Share a project that demonstrates your skills with generative AI. Explain the challenges you faced, the techniques implemented, and the outcomes. Relate this experience to the types of projects you might take on at Delivery Hero, emphasizing innovation and problem-solving.

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How do you stay updated with the latest developments in data science and machine learning?

Mention the resources you rely on, such as research papers, online courses, and community engagement like attending conferences or meetups. Stress your commitment to continuous learning, which aligns with Delivery Hero's emphasis on employee growth and adaptation in a fast-paced tech landscape.

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What coding practices do you follow to ensure your code is maintainable and scalable?

Discuss practices like writing clean, well-documented code, using version control systems like Git, and implementing unit tests. Highlight how these practices support collaboration and successful deployment in the role of a Senior Data Scientist at Delivery Hero.

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Describe a time when you had to pivot your approach during a project.

Provide a specific example that showcases your adaptability and problem-solving skills. Emphasize your decision-making process and how you grounded your pivot in data-driven insights, which is vital for a Senior Data Scientist at Delivery Hero tasked with optimizing service offerings.

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How do you ensure your data science solutions align with business objectives?

Explain the importance of understanding the broader business context and ensuring clear communication with stakeholders. Detail your process for aligning data science initiatives with Delivery Hero's goals, ensuring that your created models truly add value.

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What role does collaboration play in your work as a Senior Data Scientist?

Emphasize the importance of teamwork in data science, mentioning how you collaborate with engineers, product managers, and other scientists. Highlight examples showcasing successful collaborations that led to impactful project outcomes at previous companies.

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Can you talk about a particularly challenging data problem you've solved?

Share a concrete instance where you tackled a data problem that required innovative thinking. Discuss the tools and techniques you used, the obstacles you faced, and the impact of your solution, providing a clear narrative suited for a Senior Data Scientist role at Delivery Hero.

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Our mission is to deliver an amazing experience, fast, easy, and to your door.

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March 24, 2025

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