
1001 - 5000 employees
📦 Logistics
📣 Marketing
✈️ Travel
💰 $150M Debt Financing - inDrive on 2024-03
Logistics • Marketing • Travel
inDrive is a global ride-hailing and delivery super-app that connects passengers, drivers, couriers and businesses through a marketplace where users negotiate fair prices. It offers city rides, city-to-city trips, courier and freight delivery, and consumer and driver financial services (inDrive. Money) such as loans. The company positions itself as an online aggregator focused on safety, local social-impact projects, and expanding mobility and delivery services across many countries.
🕒 August 7
Where this job comes from
Posted on inDrive's careers page, not through a job board
First seen by Remote Rocketship August 7
Still open on inDrive's site. Checked 2 hours ago.

1001 - 5000 employees
📦 Logistics
📣 Marketing
✈️ Travel
💰 $150M Debt Financing - inDrive on 2024-03
Logistics • Marketing • Travel
inDrive is a global ride-hailing and delivery super-app that connects passengers, drivers, couriers and businesses through a marketplace where users negotiate fair prices. It offers city rides, city-to-city trips, courier and freight delivery, and consumer and driver financial services (inDrive. Money) such as loans. The company positions itself as an online aggregator focused on safety, local social-impact projects, and expanding mobility and delivery services across many countries.
• 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, including optimization, control, and RL-inspired approaches
• 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems • Strong background in statistics, optimization, and causal inference • Proven ability to move from problem formulation to production-grade solutions • Proficiency in Python and SQL • Experience with production ML systems • Nice to have: Experience with economic modeling (elasticity, auctions, policy design) • Nice to have: Familiarity with control systems, RL, or online optimization • Nice to have: Experience working with real-time, high-load systems
• 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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🕒 May 25
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