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Data Scientist - Consumer (Global Discovery)

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Delivery Hero

10d ago

  • Job
    Full-time
    Junior & Mid Level
  • Data
    Research & Development
  • Berlin

AI generated summary

  • You need a Master’s in a quantitative field, 2+ years as a data scientist, SQL and Python proficiency, ML expertise, experience with search algorithms, and strong problem-solving and collaboration skills.
  • You will enhance search algorithms, collaborate with cross-functional teams, analyze datasets for insights, innovate solutions using machine learning, and tackle ambiguous data science challenges.

Requirements

  • Experience: Master’s degree (or Bachelor’s with 4+ years of work experience) in a quantitative field such as Computer Science, Mathematics, Physics, Theoretical Chemistry, or similar. 2+ years of experience as a data scientist working on applying data science fundamentals to solve complex business problems
  • Technical Expertise: Proficiency in SQL and Python and its ML ecosystem is essential. Experience with Java and Scala is a plus.
  • Machine Learning Knowledge: Strong understanding of a wide variety of ML and statistical methods, including Classical ML, Deep Learning, NLP, and Recommendation Systems. Ability to discern the most suitable approach for different problems.
  • Search and Ranking ML Algorithms: Hands-on experience with search machine learning algorithms, such as learning to rank, semantic search, and personalization.
  • Problem-Solving: Comfortable with ambiguity and capable of navigating it to define clear data science problems and solutions. Strong analytical and problem-solving skills with a focus on delivering practical solutions.
  • Collaborative Spirit: Proven experience working in cross-functional teams, contributing effectively to joint projects and achieving common goals. Excellent communication skills to articulate complex ideas and influence stakeholders.

Responsibilities

  • Develop and Optimize Search Algorithms: Enhance and research new search machine learning algorithms, such as learning to rank, semantic search, and personalization, to deliver the most relevant results to our users.
  • Collaborate Across Teams: Work as part of a cross-functional team, including Backend Engineers, Product Managers, and Data Engineers, to improve our global search end-2-end.
  • Analyze and interpret large datasets: Extract meaningful insights to understand relevance problems.
  • Innovate and Experiment: Identify and apply the best machine learning and statistical methods to solve complex problems, ensuring solutions are scalable and effective in production environments.
  • Navigate Ambiguity: Define and tackle data science problems amidst ambiguity, ensuring clear problem definitions and actionable insights

FAQs

What is the role of the Data Scientist in the Search & Ranking team?

The Data Scientist will develop and optimize search algorithms, collaborate with cross-functional teams, analyze large datasets, innovate and experiment with machine learning methods, and navigate ambiguity in problem-solving to enhance user experiences.

What qualifications are required for this position?

A Master's degree (or a Bachelor's with 4+ years of work experience) in a quantitative field such as Computer Science, Mathematics, or a related subject is required, along with 2+ years of experience as a data scientist.

What technical skills are essential for this role?

Proficiency in SQL and Python, familiarity with the ML ecosystem, and hands-on experience with search machine learning algorithms are essential. Experience with Java and Scala is an advantage.

What type of machine learning knowledge is expected?

A strong understanding of various ML and statistical methods, including Classical ML, Deep Learning, NLP, and Recommendation Systems, is expected, along with the ability to discern suitable approaches for different problems.

Is experience with search and ranking machine learning algorithms required?

Yes, applicants should have hands-on experience with search machine learning algorithms, such as learning to rank, semantic search, and personalization.

How important is collaboration in this role?

Collaboration is crucial, as the Data Scientist will work as part of a cross-functional team including Backend Engineers, Product Managers, and Data Engineers to improve the global search experience.

What opportunities for professional development are available?

The company offers a €1,000 educational budget, language courses, parental support, and access to the Udemy Business platform for a variety of online courses to support career growth.

What is the working model for this position?

The position follows a hybrid working model, requiring in-office presence in Berlin for collaboration 2 days a week.

Are there any wellness benefits provided?

Yes, wellness benefits include health check-ups, meditation, yoga, gym and bicycle subsidies to promote overall health and well-being.

Does the company have a commitment to diversity and inclusion?

Yes, Delivery Hero believes that diversity and inclusion are essential for creating an exciting product and employee experience, and they do not discriminate based on various personal aspects.

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Delivery Hero

We build, We deliver, We lead.

Technology
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10,001+
Employees

Mission & Purpose

As the world’s leading 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 but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent 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.