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Salary
$18k – $45k per year (Estimated)
Location
Remote (Kazakhstan)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
InDrive is a global mobility and urban services platform best known for its ride-hailing app, which operates on a unique peer-to-peer pricing model. Founded in Siberia in 2012 and now headquartered in the United States, the platform allows passengers and drivers to negotiate and agree upon fares directly rather than relying on automated algorithms. Beyond ride-sharing, the company has expanded its offerings across dozens of countries to include intercity transportation, freight delivery, courier services, and local task assistance.

Geo Search runs the search that tens of millions of riders use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. Getting search right in those conditions is one of the hardest and highest-leverage problems at inDrive. The same search and location capabilities also power other verticals such as courier, cargo, and intercity.

The team owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, integrations with external providers such as Google and 2GIS, and its own search screens on Android and iOS. It is measured on order conversion rate, search conversion, successful search sessions, and mean reciprocal rank.

We are looking for a Senior Data Scientist engineer who will design and build the machine learning systems that power search ranking and personalized recommendations at scale. The work spans deep learning model development, the use of large language models, and production deployment. You will measure your impact through offline evaluation metrics and the results of online A/B tests, which feed directly into user engagement and business outcomes.

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