Develop and implement forecasting models using statistical and ML algorithms for critical business metrics.
Analyze and improve the operating model of the Ride Hailing RH vertical identifying drivers of growth and efficiency.
Build and refine company level metrics such as CAC ARPU retention churn including standardizing their calculation and monitoring.
Scale analytical solutions and forecasting approaches to other business verticals such as Delivery, Cargo, FinTech.
Drive best practices in AB testing effect measurement experiment optimization and metric design.
Collaborate with product marketing operations and finance teams to integrate data insights into strategic and tactical decisions.
Mentor other analysts raising the team expertise in forecasting and strategic analytics.

Qualifications

5 to 7 plus years of experience in data analytics, preferably in tech ride hailing ecommerce or platform businesses.
Strong expertise in statistics, ML, regression, time series, survival analysis, uplift modeling.
Excellent knowledge of SQL, Python or R, and experience with ML libraries such as scikitlearn, statsmodels. Prophet, XGBoost.
Ability to deliver end to end solutions from building models to visualizing results for business stakeholders.
Understanding of global business operations including multicountry multiproduct environments.
Experience scaling analytical solutions across new markets and verticals.

Conditions & Benefits

Stable salary and official employment.
Health insurance.
Hybrid work mode and flexible schedule.
All necessary work equipment.
Partially or fully paid additional training courses.
Diverse internal training programs.
Relocation package for candidates from other regions.
Access to professional counselling services including psychological, financial, and legal support.
Discount club membership.