Data Scientist - (Logistics Customer, Choice)
Data Scientist - (Logistics Customer, Choice)
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Job Description
We are on the lookout for a Data Scientist - (Logistics Customer Choice) to join the team on our journey to always deliver amazing experiences.
In our Logistics Team youll tackle high-impact challenges that make last-mile delivery efficient affordable and sustainable. Your work will directly improve experiences for riders end customers and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations supporting expansion into new areas like grocery and retail.
The Customer Logistics tribes 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 Heros 70 markets.
You will work alongside other data professionals designing and deploying advanced models to solve complex problems running advanced experiments and delivering revenue for Delivery Hero at the frontline of our growth & profitability journey.
Drive the 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.
Productionize end-to-end data and machine learning pipelines ensuring they are scalable reliable and fully aligned with both business objectives and technical best practices.
Work on research initiatives to explore emerging trends and technologies in machine learning and data science contributing to the advancement of Delivery Heros digital products and algorithms. Stay informed about industry developments and incorporate new methodologies and best practices into our data science workflows.
Qualifications :
- You have production experience with building data and machine learning pipelines deploying and developing in cloud systems ideally with experience in GCP and BigQuery. You are very eager to further grow in this field.
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 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 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:
Prior production experience with building end-to-end machine learning pipelines
Prior experience in solving challenging problems in the field of machine learning models scalability and reliability
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 youre in good shape then were 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 well 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 youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!
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 experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
