Sr Data Scientist

About the role

Our team has partnered closely with customers to build a robust quality measurement system for HD maps, ensuring both safety and availability in automated driving. Through multi-step review processes, we generate independent reference data for map features and attributes, guaranteeing high data integrity. This system evaluates map content quality against agreed KPIs and quantifies the reliability and uncertainty of these measurements, providing timely feedback that supports critical use cases.

As a Senior Data Scientist within the Quality and Business Planning team, you will deploy statistical and analytic methods, measurements, and machine learning models to measure and impact the quality of our map products. You will develop sampling and test designs, data and computing workflows, and analytics centered on Map and Location quality requirements.

Responsibilities

• Be a subject matter 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.

Requirements

• Master's or PhD degree required. Degree in statistics, mathematics, computer sciences, natural sciences, econometrics, or related fields.
• 5+ years of related work experience.
• Proficiency and understanding of sampling methods and experimental design.
• Proficiency in 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.
• Experience with understanding, specifying, and explaining measurement and analytic systems with other teams of data scientists and engineers to execute projects delivering those solutions.

Skills

• Team player with good communication, presentation, and people skills.
• Knowledge of tools for working with big data in Hadoop or Spark for data extraction and preparation for analysis (a plus).
• Knowledge and experience in Quality management, End-to-End quality test strategy, and Six Sigma (a plus).

Pay

The expected base salary range for this position is $104,600 to $149,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance.

Benefits

• Health (Medical/Dental/Vision) insurance.
• Retirement savings plans.
• Paid time off & leave policies.