Senior Data Scientist, Geo Search

inDrive

. Own ranking, relevance and recommendation for geo search end to end, from training data through models serving in production .

Posted 9/15/2026full-timeAlmaty • KazakhstanSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying ranking, search relevance, and recommendation models, with a strong focus on evaluation and collaboration across teams. Proficient in Python and SQL, with a solid understanding of gradient boosting and transformers.

Highest-signal resume keywords

Model DevelopmentSearch RelevanceRecommendation SystemsPython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model TrainingRanking SystemsSearch Relevance EvaluationGradient BoostingTransformersProduction DeploymentError AnalysisRelevance TuningLearning To RankGeocoding

Soft Skills

CollaborationCross-Team Communication

Tools & Technologies

OpenSearchElasticsearchLarge Language Models

Industry Keywords

Geospatial ProductsMultilingual SearchCross-Script SearchMappingDeveloping Markets

Tech Stack

Tools & technologies

ElasticSearchPythonSQL

About the role

Key responsibilities & impact

Own ranking, relevance and recommendation for geo search end to end, from training data through models serving in production
Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects
Train and own models that order results, and the confidence model deciding whether to serve an internal answer or fall back to an external provider
Build query understanding for markets, including cross-script matching, using large language models for offline labeling and distilling into models fast enough for the keystroke path
Own evaluation end to end: offline replay harness, error analysis, and online experiments
Keep models healthy after launch as data and cities shift
Collaborate with backend, machine learning, mobile, QA, product management, and geo analyst teams
Own production responsibility for search and recommendation models affecting millions of customers

Requirements

What you’ll need

5 or more years building models that shipped and improved a production metric
Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated
Expert Python and SQL
Fluency with gradient boosting
Working knowledge of transformers
Experience taking a model to production and owning it afterwards
Ability to work across teams
Preferred: Depth in geocoding, autocomplete, or place search
Preferred: Learning to rank in practice, including pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes
Preferred: Relevance tuning on OpenSearch or Elasticsearch, including analyzers
Preferred: Multilingual or cross-script search, such as Arabic and Arabizi or Urdu and Roman Urdu
Preferred: Distilling language models under a latency budget
Preferred: Experience in mapping or geospatial products in developing markets

Benefits

Comp & perks

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.