Data Scientist - (Logistics, Seamless Deliveries)

PowerToFly; Berlin; Hybrid; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading delivery solutions company seeks a Data Scientist in Berlin to enhance delivery predictions and optimize operational efficiencies using advanced machine learning. Key responsibilities include building models, analyzing large datasets, and mentoring team members. The ideal candidate will have expertise in Python, SQL, and cloud technologies. Enjoy a hybrid working model, competitive benefits, and opportunities for personal and professional growth.

Leistungen

27 days holiday

Educational Budget of 1,000 €

Health Checkups and Gym Subsidy

Employee Share Purchase Plan

Digital Meal Vouchers

Qualifikationen

• Expertise in advanced machine learning model building and training.
• Fluent in SQL for data exploration and analysis.
• Experience deploying models in cloud environments.

Aufgaben

• Develop machine learning models for delivery time predictions.
• Analyze datasets to find opportunities for improvement.
• Mentor team members in data science and innovation.

Kenntnisse

Machine learning techniques

Python data toolkit (PyTorch, xgboost, lightgbm)

SQL queries

Cloud systems (Kubernetes, Docker, Kafka)

GCP and BigQuery

MLOps practices

Jobbeschreibung

Job Description

We are on the lookout for a Data Scientist 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!

Responsibilities

• 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 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 modelling 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.
• Expertise in building and training advanced machine learning models with strong knowledge of the Python data toolkit, ideally centring around PyTorch, xgboost, and lightgbm.
• 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.
• Have exposure to distributed cloud systems like Kubernetes, Docker Kafka etc.
• You are familiar with deploying and developing in cloud systems, ideally with experience in GCP and BigQuery.
• 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.

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.
• We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
• Get moving and release those wonderful, mind‑boosting endorphins: Health Checkups, Meditation, 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.
• 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. Courses.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

Equal Opportunity Employer

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 let us know with an email to our Inclusion Officer at [e-mail] include it in your application.
Severely disabled applicants with equal qualifications will be given preferential consideration.
You’re welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.