Senior Data Scientist - Choice, 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

Be our next Hero! - Join the world’s leading local delivery platform.

We are looking for a Senior Data Scientists (all genders) to join the Choice domain of the Logistics Customer tribe on our journey to always deliver amazing 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 focusing on optimizing delivery areas, managing demand control, and refining vendor management to enhance overall efficiency. We are continuously developing and improving a range of solutions that aim to provide the best choice to our customers, manage fluctuating demand, and strengthen vendor coordination, ensuring faster and more accurate deliveries.

The Logistics Customer 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.

• Drive the end-to-end development and implementation of statistical, machine learning, and optimization models for choice optimization, rider fleet busyness and travel time prediction, and demand control. 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 by deploying sophisticated statistical techniques to improve decision-making in the domain.

• Lead research initiatives to explore emerging trends and technologies in machine learning and data science, 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.

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!

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:

• Proven experience in addressing large-scale optimization problems (linear or mixed integer programming) is a strong asset.

• Hands-on experience in creating causal models and deploying them in production is a plus.

• 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, 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.