Data Scientist II

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 good 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
• Experience with understanding, specifying and explaining measurement and analytic systems with other teams of data scientists and engineers to execute projects delivering those solutions.
• Knowledge of tools for working with big data in Hadoop or Spark for data extraction and preparation for analysis will be a plus
• Knowledge and experience in Quality management, End-to-End quality test strategy and Six Sigma will be a plus

What we offer

 

HERE offers an opportunity to work in a cutting-edge technology environment with challenging problems to solve! You can make a direct impact on delivery of company´s strategic goals and the freedom to decide how to perform your work. We will support you in delivering your day-to-day tasks and achieving your personal goals and developing your skills. Personal development is highly encouraged at HERE. You can take different courses and training at our online Learning Campus and join cross-functional team projects within our Talent Platform.

 

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

Who are we?

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

 

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

 

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 not only evaluates map content quality against agreed KPIs but also quantifies the reliability and uncertainty of these measurements, providing timely feedback that supports critical use cases.