Data Scientist - Customer Logistics Choice
Data Scientist - Customer Logistics Choice
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Job Description
We are on the lookout for a Data Scientist Customer Logistics Choice to join the Logistics Team on our journey to always deliver amazing experiences.
In our Logistics Team youll tackle highimpact challenges that make lastmile 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.
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 crossfunctional teams to enhance the efficiency and performance of the machine learning models in across the vertical.
Analyse largescale datasets to understand and identify opportunities by deploying sophisticated statistical techniques to improve decisionmaking in the domain.
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 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.
You have expertise in building and training advanced machine learning models with strong knowledge of the Python data toolkit ideally centring 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 machinelearning solutions.
You write clean productionlevel 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 and 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 largescale optimization problems (linear or mixed integer programming) is a strong asset.
Handson experience in creating causal models and deploying them in production is a plus.
Experience in designing and analysing advanced products/models experiments (switchback tests quasiexperiments nonstandard A/B tests etc) 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 youre in good shape then were in good shape.
Make the most of our hybrid working model and join the team for facetoface 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 mindboosting endorphins: Health Checkups Meditation Yoga 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 :
Fulltime
Employment Type
Full-time
