Senior Data Scientist - (Query Intelligence, Global Discovery) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLMs, Generative AI, Agentic Workflows, Query Understanding, Fine-Tuning, Model Distillation, PEFT, LoRA, QLoRA, Supervised Fine-Tuning, ReAct, Chain-of-Thought, LangChain, LlamaIndex, AutoGen, Python

Industry

technology;Information and Internet

Description

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 to join the Global Search tribe on our journey to always deliver amazing experiences. At Delivery Hero, you’ll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers, creating data-driven, personalized interactions that keep them coming back. As part of our Consumer Team, you’ll enhance customer satisfaction and drive global growth and profitability through innovative projects. If you are passionate about leveraging Generative AI, Agentic workflows, and LLMs to revolutionize how users discover food and groceries, we want you on our team in the heart of Berlin! Your mission: Advance Query Intelligence with AI: You will research, develop, and optimize advanced LLMs, with a specific focus on fine-tuning and Agentic AI to solidify and scale our query understanding services. Architect Autonomous Agents: Design and implement agentic reasoning patterns (e.g., ReAct, Chain-of-Thought) and multi-agent orchestration to solve complex, ambiguous search problems. Optimize via Fine-Tuning & Distillation: Lead the lifecycle of specialized models by applying PEFT (LoRA/QLoRA), supervised fine-tuning, and model distillation to create high-performance, low-latency solutions for production. Lead Innovation: Identify and apply the SOTA methods to solve complex problems in high-complexity environments. You will take ownership of the full data science lifecycle—from ideation and fine-tuning to production. Collaborate Across Teams: Work as part of a global, cross-functional team, collaborating closely with product managers, analysts, backend engineers, and data engineers to drive end-to-end solutions. Your partnership will be crucial in translating business challenges into impactful data science projects that solve our customers' problems and meet our OKRs. Extract Actionable Insights: Analyze and interpret large, complex datasets to uncover meaningful insights into search relevance challenges. You'll effectively communicate these findings to stakeholders, influencing strategy and product direction across different brands and platforms. Experiment and Lead Innovation: You'll take ownership of the full data science lifecycle, from ideation to production, ensuring solutions are scalable and effective. You'll also explore and leverage cutting-edge technologies like LLMs and Agentic AI to accelerate innovation and streamline our processes. Master Ambiguity: Take a leading role in tackling ambiguous business problems. You will translate these challenges into well-defined data science projects with clear objectives, and confidently navigate uncertainty to deliver tangible results. Qualifications Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, or Physics) or equivalent professional background. Proven track record as a Data Scientist solving complex business problems through the application of advanced scientific methodologies. Deep, hands-on experience building Agentic workflows, including tool-use (function calling), autonomous planning, and orchestration frameworks like LangChain, LlamaIndex, or AutoGen. Proven track record in LLM fine-tuning (SFT, RLHF/DPO) and distillation techniques to optimize "teacher" models into efficient "student" models for scale. Essential proficiency in Python (and its ML ecosystem) and SQL. Experience with Cloud environments (GCP/AWS) and MLOps tools (e.g., MLFlow, Metaflow) is required. Hands-on experience with search machine learning algorithms is highly valued. This includes but not limited to: query understanding, classification, expansions, personalization and search results evaluation. You should have a foundational understanding of the search funnel and its components. You navigate ambiguity to define clear data science solutions and deliver scalable results in fast-paced environments. Beyond modeling, you proactively use AI-assisted tools (e.g., Gemini, Cloud Code) to accelerate your research, your coding workflow, automate boilerplate, and increase your overall engineering velocity. Demonstrated experience working effectively in global, cross-functional teams. You have excellent communication skills, with the ability to articulate complex ideas, influence stakeholders at all levels, and contribute significantly to shared projects and goals. You're open-minded and eager to learn from and mentor others. 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, 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. Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin. Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters. 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! 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 let us know with an email to our Inclusion Officer at [email protected] it in your application. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Responsibilities

The role involves researching, developing, and optimizing advanced Large Language Models (LLMs), focusing on fine-tuning and Agentic AI to enhance query understanding services globally. Responsibilities include architecting autonomous agents using reasoning patterns and leading the full data science lifecycle from ideation to production.