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(Associate) Data Scientist - Logistics, Rider (all genders)

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Delivery Hero

Aug 1, 2024

Applications are closed

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Berlin
    Remote

Requirements

  • You speak fluent Python, and are familiar with its scientific computing stack such as NumPy, Pandas, Scikit-learn, Matplotlib, etc. Other languages are a bonus!
  • You write clean, maintainable code following best-practices, and know how to make your code run in a container for reusability and cloud deployment.
  • You are fluent in SQL, and know how to work with large-scale datasets on platforms like Google BigQuery or Amazon Redshift.
  • You have experience with a range of software engineering tools including Git, Docker, cloud technologies like GCP or AWS, Kubernetes and Airflow.
  • You have prior 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 have a strong sense of responsibility and desire to run software for millions of users: we build it, we run it.
  • You have an eye for detail. Before starting to work on a use-case, you carefully challenge existing assumptions and care about clean data.
  • You are a strong communicator, and can explain the intuition behind your modeling approach to people with both technical and non-technical backgrounds.
  • Prior exposure to location data (GPS pings, maps, geographical shapes, etc.), and geospatial modeling.
  • First-hand experience with large-scale problems in the logistics or e-commerce industries.
  • Hands-on experience planning, carrying out, and analyzing results of A/B tests.
  • Experience deploying complex models to serve live traffic.

Responsibilities

  • - Conceptualize the right modeling approach for challenges in the field of Logistics 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.
  • - Work on projects centered around experimental design and A/B testing, fraud modeling, and location denoising, and make an impact in a global, fast-moving tech organization delivering more than 5 million orders each day.
  • - Provide ideas in brainstorming sessions with your Data Science colleagues to solve the toughest modeling problems together. Pitching new ideas and improvement proposals to non-technical stakeholders.
  • - Help defining data needs to further improve existing projects, to support data engineering and tech teams in planning their roadmap.

FAQs

What is the main focus of the (Associate) Data Scientist - Logistics, Rider role at Delivery Hero?

The main focus of this role is to help create a fast, reliable, and transparent delivery experience by working on projects that enhance the rider journey, particularly during the last 100 meters of delivery. This includes providing accurate route information, improving location identification, and developing fraud detection models.

What qualifications are required for this position?

Candidates should be fluent in Python and familiar with its scientific computing stack (NumPy, Pandas, Scikit-learn, Matplotlib). They should also have strong SQL skills, experience with software engineering tools like Git and Docker, and prior experience applying machine learning to real-world datasets. A sense of responsibility and strong communication skills are also important.

What is the working environment like for this role?

The working environment is described as diverse, international, and inclusive, located in the heart of Berlin. Delivery Hero emphasizes fast-paced action and adaptability, fostering a culture where creative minds can deliver impactful solutions within their ecosystem.

What kind of projects will the Data Scientist work on?

The Data Scientist will work on projects centered around experimental design and A/B testing, fraud modeling, location denoising, and other logistical challenges, impacting a global tech organization that delivers over 5 million orders daily.

Are there any preferred qualifications or experiences that would enhance a candidate's application?

Nice-to-haves include prior exposure to location data and geospatial modeling, experience in logistics or e-commerce, hands-on experience with A/B testing, and experience deploying complex models to serve live traffic.

How does Delivery Hero address diversity and inclusion in hiring?

Delivery Hero is committed to diversity and inclusion, emphasizing that they do not discriminate based on race, gender, sexual orientation, age, or any other identity. They focus on hiring individuals who bring character and talent to the role, encouraging candidates to be themselves.

What is the team structure within the Data Science squad?

The Data Science squad works closely with an amazing team of ML engineers who build reusable tooling, enabling data scientists to concentrate on solving modeling challenges. They also integrate closely with product teams to stay attuned to organizational needs.

What level of coding experience is expected for this position?

Candidates are expected to write clean, maintainable code following best practices and should know how to run their code in a container for reusability and cloud deployment.

Are there opportunities for growth within this role?

Yes, the environment is described as fast-moving and encourages creative problem-solving, allowing individuals to grow their skills and impact projects significantly within an influential global organization.

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Delivery Hero

We build, We deliver, We lead.

Technology
Industry
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.