Senior Data Scientist – Time Estimations, Logistics (all genders)

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 experienced Senior Data Scientists (all genders) to join the Seamless Deliveries domain of the Customer Logistics tribe in our mission to deliver consistently amazing customer experiences.

You will work alongside other data professionals designing and deploying advanced models to solve complex problems, delivering revenue for Delivery Hero at the frontline of our growth & profitability journey. 

At Delivery Hero, we are exploring ways to optimize our delivery times and perfect our forecasting and estimation abilities. We are developing and enhancing a range of products to better predict delivery times, optimize fleet operations, and improve the customer ordering experience..

The Customer Logistics tribe’s mission is to build products that make it easy for local brands to run efficient operations and deliver a delightful order experience to customers so they order on repeat. The tribe comprises teams of skilled analysts, engineers, and scientists working together to deliver data solutions affecting every customer journey across all of Delivery Hero’s 70+ markets.

If you’re a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

• Drive the development and implementation of advanced machine learning models for delivery time prediction, food prep time prediction, vendor consistency, etc. Collaborate with cross-functional teams to enhance the efficiency and performance of the machine learning models in across the vertical.

• Analyse large-scale datasets to understand and identify opportunities deploying sophisticated statistical techniques to improve decision making in Time Predictions.

• Lead research initiatives to explore emerging trends and technologies in machine learning, contributing to the advancement of Delivery Hero’s digital products and algorithms. Stay informed about industry developments and incorporate new methodologies and best practices into our data science workflows.

• Serve as a subject matter expert in data science and machine learning, providing guidance and mentorship to other team members and fostering a culture of continuous learning and innovation within the data science team.

Qualifications

• You excel at modeling business problems using machine learning techniques covering feature engineering, model selection and design as well as evaluation and optimisation to deliver value to the business. 

• You enhance the performance of other team members through mentorship and constructive collaboration to benefit others from your deep understanding and experience of data science.

• You have expertise in building and training advanced machine learning models with strong knowledge of the Python data toolkit ideally centering around Pandas, SQL, Sklearn, and PySpark. 

• Through the fluent use of SQL queries you are able to explore our data universe and gather data to support your analysis and the development of machine learning solutions.

• You write clean, production-level code and effectively use software versioning with Git.

• You are familiar with deploying and developing in cloud systems, ideally with experience in GCP and bigquery.

• You love to learn, are a critical thinker and creative problem solver who strives for excellence.

• You are a team player who loves to collaborate and work with stakeholders from different tech teams in a diverse environment.

Nice to have:

• Experience deploying complex models to serve live traffic and collaborating with ML engineers in creating efficient systems that integrate ML models following good MLOps practices.

• Experience in working on logistics product development would be a great benefit.

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

• 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, Corporate Discounts and access to the Udemy Business platform to explore a variety of online courses.

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 include it in your application. You’re welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.