The Role
Develop and automate data-driven incentive algorithms that optimize rewards, budgets, and marketplace outcomes. Build causal inference and uplift models to measure incremental impact, model participant behavior, and personalize offers. Translate research into production-grade Python and SQL systems with real-time monitoring. Collaborate with product and engineering teams to guide algorithmic roadmaps and improve retention, lifetime value, and investment efficiency.
Summary Generated by Built In
We are looking for an expert who will develop and automate decision-making algorithms in the area of incentives. Your core focus will be to design and deploy adaptive data-driven mechanisms that determine which goal to set for which user, and what reward to offer, in order to maximize the incremental effect for every dollar invested.
Key Responsibilities
- Intervention Algorithm Automation: Design and implement incentive management systems as closed-loop feedback control systems to continuously optimize budget efficiency and marketplace balance.
- Incremental Impact Maximization (Uplift Modeling): Create and advance causal inference and uplift models (e.g., meta-learners) to evaluate the true incremental value of rewards and target personalized offers.
- Behavioral Modeling & Business Impact: Research and model the non-linear responses of marketplace participants to changing conditions (prices, incentive terms), translating these insights into algorithmic strategies that drive user retention and lifetime value (LTV).
- End-to-End Development (Research-to-Production): Translate research models into production-grade code, developing modular frameworks and monitoring systems to ensure algorithms operate reliably in real time.
- Cross-Functional Leadership: Act as a strategic partner to product managers and engineers, driving the product roadmap through data-driven storytelling and aligning complex algorithmic solutions with overarching business goals.
Skills, Knowledge and Expertise
- Professional experience in Data Analytics, Data Science, Applied Research, or algorithmic product optimization, preferably within a dynamic, incentive-driven environment.
- Strong analytical mindset with expertise in Machine Learning, behavioral modeling, and causal inference.
- Solid foundation in mathematics and economics, including knowledge of elasticity models, incentive response dynamics, and retention analytics.
- Advanced SQL and Python proficiency, with experience working with large datasets and the ability to translate research models into production-grade decision logic.
- Advanced Experimentation: Experience with A/B testing frameworks, switchback experiments, and evaluating causal effects in networked systems with feedback loops.
- Strong communication and stakeholder management skills, with the ability to collaborate closely with engineering teams and influence product decision-making.
Why join us
- Help us challenge injustice by creating fair choices for millions of people across in 47 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
- Annual salary from EUR 70 700 gross
Final benefits may vary depending on the location.
About
inDrive is a global tech company on a mission to challenge injustice through fair choices. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 400M installs across 47 countries.Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. We are committed to having a positive impact on people’s lives both through our core business, which supports local communities via a fair pricing model; and through the work of our impact programs. Ready to ignite your inner drive?
Skills Required
- Professional experience in data analytics, data science, applied research, or algorithmic product optimization
- Expertise in machine learning, behavioral modeling, and causal inference
- Strong foundation in mathematics and economics, including elasticity models, incentive response dynamics, and retention analytics
- Advanced SQL proficiency
- Advanced Python proficiency
- Experience working with large datasets
- Ability to translate research models into production-grade decision logic
- Advanced experimentation experience, including A/B testing frameworks, switchback experiments, and causal-effect evaluation in networked systems
- Strong communication and stakeholder management skills
- Experience collaborating with engineering teams and influencing product decisions
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The Company
What We Do
inDrive is a global IT and transportation platform inDrive is one of the world’s fastest growing online ride-hailing services. Its services are available in over 749 cities in 46 countries throughout the world. The Company’s app has been downloaded over 150 million times. inDrive offers other services, including intercity transportation, freight and cargo services, as well as delivery services in different markets of operations. inDrive is based in Mountain View, California, and operates regional hubs in the Americas, Asia, the Middle East, Africa and the countries of the CIS, and employs over 2,000 people. In early 2021, inDrive achieved unicorn status after closing a $140m investment round with Insight Partners, General Catalyst, and Bond Capital, which valued the company at $1.23 billion.
