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 on-demand last-mile delivery operations, involving hundreds of thousands of couriers and restaurants, improving the experience for millions orders per day in 70+ countries.
Your mission:
1. Conceptualize the right modeling approach for challenges in the field of Logistics at scale, together with your squad lead and our stakeholders.
2. Innovate new modeling solutions by drawing from fields like Machine Learning, Operations Research and Statistics that drive value for our business.
3. Pair-program with your squad to engineer solutions that automate the retraining of models and generation of predictions.
4. Provide ideas in brainstorming sessions with your Data Science colleagues to solve the toughest modeling problems together.
5. Help defining data needs to bring value to the projects, collaborate with the data engineering and tech teams in planning their roadmap.
6. Work with (semi-)structured data from our BigQuery DWH architecture and process with Spark where necessary.
Qualifications
7. You have at least 3 years of experience applying methods from machine learning to real-world datasets.
8. Fluency in Python and familiarity with its scientific/visualization libraries such as NumPy numpy, Ppandas, Sscikit-learn, Mmatplotlib, Pplotly etc.
9. You can transfer business problems from a problem space to a technical solution space.
10. Experience in solving regression and classification-typeclassification type of problems with statistical, linear/non-linear models and ensemble models in particular (Random Forest/XGBoost/LightGBM/CatBoost).
11. Experience with Time-Series Forecasting, Operations Research, and Statistics is an interesting addition
12. 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.
13. You can write maintainable code that follows best practices in software engineering.