Data Scientist

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Company Overview

A leading global technology company is dedicated to building world-class mapping and location-based services that help millions of users navigate and interact with the world around them. Its data science teams leverage large-scale user data, advanced analytics, machine learning, and experimentation frameworks to improve product experiences and support data-driven decision-making across mapping, search, routing, and location intelligence services.

The organization is seeking a Data Scientist to join a cross-functional team focused on the evaluation and enhancement of mapping services and features. This role partners closely with engineering and product teams responsible for search, routing, places, location-based services, and other user-facing products.

The successful candidate will work in a highly data-driven environment, applying statistical analysis, experimentation, machine learning, and analytics techniques to generate insights, measure product performance, and influence strategic product decisions. The position offers the opportunity to work with large-scale datasets and emerging AI technologies while helping shape the future of location-based products.

Key Responsibilities

• Build data products, including datasets, analyses, models, and related tools to support decision-making across engineering and product teams.
• Develop actionable metrics at both component and product levels to measure performance and user engagement.
• Design and execute experiments, including A/B testing, to evaluate complex systems and product features.
• Analyze large-scale datasets to uncover insights and identify opportunities for product improvements.
• Develop models and analytical solutions to support hypothesis generation and data-driven recommendations.
• Automate analytics workflows and data pipelines using SQL, Python, Scala, and ETL frameworks.
• Communicate analytical findings and recommendations to stakeholders to influence product direction.
• Translate business objectives and product goals into well-defined data science problems.
• Explore and prototype emerging machine learning and Generative AI techniques for potential application within mapping and location-based services.

Required Qualifications

• Master’s or PhD degree in Computer Science, Statistics, Physics, Operations Research, or a related quantitative field.
• 3+ years of experience in large-scale data analysis or related industry experience.
• Strong proficiency in Python and SQL.
• Excellent communication and presentation skills.
• Ability to translate business requirements into technical solutions using statistical and analytical methods.
• Experience working with large datasets and applying quantitative techniques to solve complex problems.

Preferred Qualifications

• Experience using Spark or PySpark to automate large-scale analytical tasks.
• Hands-on experience designing and analyzing A/B tests.
• Familiarity with cloud technologies such as AWS.
• Experience building automated analytics pipelines and scalable data workflows.
• Knowledge of mapping, transportation, GIS, or location intelligence domains.
• Interest in applying machine learning and Generative AI techniques to real-world product challenges.

Disclaimer

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