Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will research and develop cutting-edge LLMs, design agent workflows, and analyze complex datasets to create tailored search solutions and enhance customer retention.
Job Technologies
Your role in the team
- 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!
- 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 will 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 will 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.
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Our expectations of you
Education
- Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, or Physics) or equivalent professional background.
Qualifications
- Proven track record as a Data Scientist solving complex business problems through the application of advanced scientific methodologies.
- 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.
- 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.
- 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.
Experience
- Deep, hands-on experience building Agentic workflows, including tool-use (function calling), autonomous planning, and orchestration frameworks like LangChain, LlamaIndex, or AutoGen.
- 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.
- Demonstrated experience working effectively in global, cross-functional teams.
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What we offer
- 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 the 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.
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Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Delivery Hero SE
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
Description
- Founding year
- 2011
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)3.2
Career Growth
3.2Culture
3.2Engineering
2.7Workingconditions
3.8
Senior Data Scientist
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
