data scientist for geospatial search

inDrive is a global tech company focused on fair-choice services. It operates a ride-hailing app and offers freight, delivery, intercity travel, and financial services across 48 countries.

• Design and build deep learning systems for search ranking, session-based recommendations, and multi-objective personalization;
• Incorporate geographic context into ranking and own the recommendation and ranking of pickup points;
• Translate business goals into ML objectives with non-functional requirements;
• Lead evaluation from offline metrics through online A/B test design and validate improvements in user engagement before release;
• Partner with backend engineers to move models from prototype to production, including model serving and latency optimization;
• Partner with the product manager and operations to turn behavior analysis into concrete features and requirements;
• Own the production ML lifecycle, including serving, drift monitoring, and retraining pipelines.

• 5+ Years of machine learning engineering experience, including at least 3 years building and deploying deep learning models in production;
• Direct experience with search, NLP, ranking, recommendation, or relevance systems;
• Expert-level proficiency in Python, core data science libraries, and SQL, including tools such as PySpark, Pandas, NumPy, Scikit-learn, and PyTorch;
• Ability to design an ML system from scratch, including data analysis, annotation, processing, and production model serving;
• Experience translating business goals into ML problems with proxy metrics and non-functional requirements;
• Experience designing or substantially contributing to A/B tests and statistical evaluation of user behavior impact;
• Experience with MLOps tools and practices for managing the ML model lifecycle;
• Experience deploying models on ML serving infrastructure, optimizing latency, and detecting and managing concept drift;
• Ability to influence teammates and partner teams and communicate complex results clearly;
• Nice to have: Academic background in Computer Science, Mathematics, or a related quantitative field, experience fine-tuning and deploying large or small language models for query understanding or relevance, expertise in geocoding or autocomplete relevance, experience with mapping, location, or geospatial products, experience building for developing markets with weak map and address data, BigQuery or Databricks certifications, expertise in search, geocoding, ranking, or recommendation systems.

• Work location: Georgia;
• Professional development through mentoring, career consulting, and learning programs;
• Global Talent Exchange Program;
• Company-wide challenges, awards, sports activities, employee-led social impact, and volunteering projects;
• Co-financed language courses and internal speaking clubs;
• Benefits may vary depending on the location.