Senior Applied Scientist – Pricing

🕒 August 7

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🧬 Research Scientist

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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inDrive

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design and evolve dynamic pricing systems for the marketplace • Develop pricing as a feedback-driven decision system balancing supply, demand, and business outcomes under uncertainty and delayed signals • Model user behavior, incentives, and marketplace dynamics for the bid-based pricing model • Develop, test, and deploy real-time pricing algorithms • Evaluate pricing impact through experimentation and marketplace analysis

🎯 Requirements

• 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, including elasticity, auctions, and policy design • Nice to have: familiarity with control systems, reinforcement learning, or online optimization • Nice to have: experience working with real-time, high-load systems

🏖️ Benefits

• 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 • Improve your language skills through co-financed courses and internal speaking clubs • Final benefits may vary depending on the location.