Graduate Data Scientist - Consumer (all genders)

Berlin, Germany

Delivery Hero

Delivery Hero - Always delivering an amazing experience.

View company page

Apply now Apply later

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, 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 2024 Tech Graduates (all genders) to join our key verticals on our journey to always deliver amazing experiences.

We offer a unique environment for you to learn and develop your skills, and to contribute to the development of our cutting-edge tech solutions. You will have some of the most talented and experienced software engineers in the industry as mentors to help you ramp up, and a support group you can go to for help and connection.

If you are an engineering graduate looking for an opportunity to grow in the tech industry and make a difference, our Tech Graduate Program is for you!

Our Engineering organization consists of over 1,500 talented engineers distributed across our major verticals. Our tech employees are divided into different teams across the following areas: Consumer Data Products, FinTech, Logistics, Pandora, Platform, Quick Commerce, Turkey Tech Hub, and Vendor Tech. They work on a range of major topics from boosting customer acquisition and retention to creating efficient experiences for our vendors, building an excellent logistics ecosystem across the delivery lifecycle, providing financial empowerment to our stakeholders and much more.

Qualifications

To be eligible for our program, you must:

  • Have the right to live in Germany and/or hold an EU passport

  • Have (or be graduating this summer from) a Bachelor’s or Master's degree in Software Engineering, Data Engineering, Computer Science or a related field

    • If graduated, you may also have a max of 1.5 YoE in similar job fields

    • Coding bootcamp graduates (recent/upcoming) are also eligible to apply and do not need to meet the degree requirement above

  • Have a good understanding or direct experience with coding in relevant languages and technologies (see below), ideally from internships, bootcamps, or open-source projects

  • Be an analytical thinker and strong problem solver with a humble, inquisitive approach

  • Have good communication and collaboration skills

  • Be business fluent in English

  • Be excited about working in a fast-moving, agile company where we learn from our mistakes

 

Technical skills we look for:

  • Data Science: 

    • Have a good understanding Python or its scientific stack, such as pandas, scikit-learn, XGBoost

    • Experience with best practices in software engineering 

    • Good knowledge in SQL, DBT, Vertex AI.

 

Generally, we also expect your curiosity in learning/trying out new technologies.

Next steps

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

  • 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

  • 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

  • Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support

  • 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, Online Canteen, Corporate Discounts

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.

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.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  21  6  0
Category: Data Science Jobs

Tags: Agile Computer Science dbt Engineering FinTech Open Source Pandas Python Scikit-learn SQL Vertex AI XGBoost

Perks/benefits: Career development Insurance Yoga

Region: Europe
Country: Germany

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.