Senior Applied Scientist (Researcher) Pricing
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Key skills for this role
About the Role
inDrive is looking for a Senior Applied Scientist (Pricing) to design and evolve dynamic pricing systems for their marketplace. The role involves developing pricing as a feedback-driven decision system, modeling user behavior, and deploying real-time pricing algorithms.
Key Skills for This Role
Responsibilities
- Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling
- Frame pricing as a decision system under uncertainty and delayed feedback
- Develop, test, and deploy real time pricing algorithms
- Design and analyze A/B experiments to evaluate pricing impact
- Productionize models in collaboration with engineering, ensuring scalability and robustness
- Monitor system performance, including stability, feedback effects, and long term behavior
- Contribute to methodological choices (e.g., optimization, control, RL inspired approaches)
Requirements
- Expertise in designing and improving dynamic pricing policies
- Experience with modeling user behavior, incentives, and marketplace dynamics
- Ability to develop, test, and deploy real time pricing algorithms
- Experience designing and analyzing A/B experiments
- Proficiency in productionizing models with engineering teams
- Knowledge of optimization, control, or RL inspired approaches
Full Job Posting
Overview
- We are looking for a Senior Applied Scientist (Pricing) to design and evolve dynamic pricing systems for our marketplace.
- You will develop pricing as a feedback driven decision system, balancing supply, demand, and business outcomes under uncertainty and delayed signals.
- Unlike traditional surge based pricing, our marketplace operates on a unique bid based pricing model, where prices are shaped through direct negotiation between riders and drivers.
Key Responsibilities
- Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling.
- Frame pricing as a decision system under uncertainty and delayed feedback.
- Develop, test, and deploy real time pricing algorithms.
- Design and analyze A/B experiments to evaluate pricing impact.
- Productionize models in collaboration with engineering, ensuring scalability and robustness.
- Monitor system performance, including stability, feedback effects, and long term behavior.
- Contribute to methodological choices (e.g., optimization, control, RL inspired approaches).
Benefits
- Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries.
- Develop your professional skills with access to mentoring, career consulting, and learning programs.
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
- Engage in company wide challenges, awards, sports activities, employee led social impact and volunteering projects.
- Work alongside people who take initiative, speak openly, and challenge themselves to grow.
- Improve your language skills through co financed courses and internal speaking clubs.
- Final benefits may vary depending on the location.
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