Senior Data Scientist – Geo Search

🔥 0 minutes ago

🇰🇿 Kazakhstan – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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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 build deep learning systems for search ranking, session-based recommendations, and multi-objective personalization. • Make ranking consume geographic context and own 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 demonstrate improved engagement before shipping changes. • 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 model serving, drift monitoring, and retraining pipelines. • Work on place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, external-provider integrations, and Android/iOS search screens. • Measure impact through offline evaluation metrics and online A/B tests.

🎯 Requirements

• 5 or more years of machine learning engineering experience, with at least three years building and deploying deep learning models in production. • Direct experience with search, NLP, ranking, recommendation, or relevance systems. • Expert-level proficiency in Python and 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. • Experience using MLOps tools and practices to manage the ML model lifecycle. • Experience deploying models to production on ML serving infrastructure and optimizing latency. • Awareness of concept drift and how to detect and manage it. • Ability to influence teammates and partner teams and communicate complex results clearly. • Academic background in Computer Science, Mathematics, or a related quantitative discipline is a plus, not a requirement. • Strong pluses include experience fine-tuning and deploying large or small language models, geocoding or autocomplete relevance, mapping/location/geospatial products, developing-market products, and BigQuery or Databricks certifications.

🏖️ 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. • Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. • Work alongside people who take initiative, speak openly, and challenge themselves to grow. • Final benefits may vary depending on the location.