Role overview
Backing Uber's creativity with operational efficiency. This is the Team's mission statement.
On request of Local, Central, Regional & Global Ops, the Team centralizes work, in Krakow CoE, around:
- Business Processes (design, execution, enhancement, optimization)
- Analytics & Automation (query, deepdive, self-operating dash., process automation)
- Data Science (modeling, causal inference, experimentation, machine learning)
This experience gained as Junior Data Scientist may also, going forward, open doors to plenty of new opportunities across the world, via the Uber Mobility Program.
We're offering a hybrid model of working (60% based out of our Krakow office, 40% work from home).
What you'll work on
- Knowledge of causal inference, experimentation and econometrics statistics methods for analytical problems
- Ability to design, conduct and analyze experiments to infer causality and estimate effects
- Understanding of statistical modeling and ML to find patterns and make predictions from large datasets
- Skilled in SQL and Python (Pandas Library, basics of OOP and API endpoints)
- Hands-on experience in common ML frameworks, tools & libraries (scikit-learn, scipy)
- Knowledge of ML methods (neural networks, naive Bayes, SVM, decision forests, etc.)
- Ability to engineer features, deploy models and improve them as needed
- Ability to visualize and report your findings to Stakeholders, adapting your communication to a variety of audiences
- Motivation to learn all along the way and improve continuously
Tags & focus areas
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