Senior Data Scientist - Logistics Workforce
Senior Data Scientist - Logistics Workforce
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Job Description
We are looking for a Senior Data Scientist (Logistics Workforce) to join our Logistics team to help us create a fast reliable and transparent delivery experience. You will make an impact in optimizing our ondemand lastmile delivery operations involving hundreds of thousands of couriers and restaurants improving the experience for millions orders per day in 70 countries.
Conceptualize the right modeling approach for challenges in the field of Logistics at scale together with your squad lead and our stakeholders.
Innovate new modeling solutions by drawing from fields like Machine Learning Operations Research and Statistics that drive value for our business.
Pairprogram with your squad to engineer solutions that automate the retraining of models and generation of predictions.
Provide ideas in brainstorming sessions with your Data Science colleagues to solve the toughest modeling problems together.
Help defining data needs to bring value to the projects and collaborate with the data engineering as well as with the tech teams in planning their roadmap.
Work with (semi)structured data from our BigQuery DWH architecture and process with Spark where necessary.
Contribute and make an impact in a global fastmoving tech organization.
Have fun and grow together with your team.
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.
Qualifications :
You have at least 3 years of experience applying methods from machine learning to realworld datasets.
Fluency in Python and familiarity with its scientific/visualization libraries such as Numpy Pandas Scikitlearn Matplotlib Plotly etc.
You can transfer business problems from a problem space to a technical solution space.
Experience in solving regression and classification type of problems with statistical linear/nonlinear models and ensemble models in particular (Random Forest/XGBoost/LightGBM/CatBoost).
Experience with TimeSeries Forecasting Operations Research and Statistics is an interesting addition.
You know how to work with Big Data platforms such as Big Query/Spark and know how to write a SQL query to pull the data you need.
You can write maintainable code that follows best practices in software engineering.
Before starting to work on a usecase you carefully challenge existing assumptions and care about clean data.
You are a strong communicator and can explain the intuition behind your modeling approach to people with different backgrounds.
You love to learn and you 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.
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
