What's the role?
- As a Senior Data Scientist within the Quality and Business Planning team, you are passionate about delivering quality products. This involves deploying statistical and analytic methods, measurements, and machine learning models to measure and impact the quality of our map products. You are responsible for developing sampling and test designs, data and computing workflows, and analytics centered on Map and Location quality requirements.
- Expected to be a expert on statistical and experimental design methods for Map and Location quality testing processes
- Interpret project objectives and requirements, create enabling data science solutions and produce impactful outcomes
- Develop sampling plans for data collection, quality evaluation, and the production of training data, along with technical estimators for the evaluation of map quality, and A/B experiments to validate optimization and solution approaches
- Build and test statistical and machine learning models to support improvement of a wide variety of data-driven processes for map making




- Design and develop data and computing tools to enable processing of quality testing data and results
- Work with map and location experts, engineering teams, and other teams across the company to enable high-quality map products

Who are you?
- Master's or PhD degree required. Degree in statistics, mathematics, computer sciences, natural sciences, econometrics, or related fields.
- 2+ years of related work experience
- Team player with valuable communication, presentation, and people skills
- Proficiency and understanding of sampling methods and experimental design
- Proficiency of machine learning and modeling techniques, including analytic methods such as regression, classifiers, clustering, association rules, decision trees, etc.
- Proficiency with analysis and programming in Python and SQL, or similar packages (R, Matlab, SAS, etc.)
- Knowledge and experience with using GIS tools for spatial data analysis
- Ex

📌 Data Scientist II (Navi Mumbai)
🏢 HERE
📍 Navi Mumbai