Company: X5 Group
Data Scientist for the X5 ad-hoc analytics team with a focus on Causal Inference and applied econometrics. Development of methodologies for effect assessment when A/B tests are not applicable.
Tasks:
- End-to-end development of methodologies and tools for effect assessment when classic A/B tests are not applicable
- Implementation of advanced econometric approaches to improve current methodologies
- Writing articles based on the results of particularly interesting tasks
Requirements:
- At least one year of experience in the DS field
- Background in Causal Inference / econometrics
- Knowledge of endogeneity, confounders, tools, DAGs, colliders, mediators
- Familiarity with modern approaches to analyzing cross-sectional and panel data (Doubly Robust Estimators, DiD, TWFE, IV)
- Ability to write clean and structured code in Python, knowledge of classical algorithms and data structures
- Knowledge of SQL, ability to build optimal queries
Conditions:
- Opportunity to work remotely or in a hybrid format
- Convenient office near "Dobryninskaya" metro station / convenient office with free parking near "Volgogradsky Prospekt" metro station / MCD "Kalitniki"
- Salary range: 260k-360k gross + 20% bonus based on annual salary
Skills:
- Python
- SQL
- Hadoop
- Causal Inference
- econometrics
- DAG
- Doubly Robust Estimators
- DiD
- TWFE
- IV
