Careers

Sr Data Scientist - Quality Testing & Statistics

  • HERE
  • Two Prudential Plaza, 180 N Stetson Ave #2400, Chicago, IL 60601, USA
  • Nov 09, 2020

Job Description

What's the role?The team:The Quality Testing and Statistics team at HERE is responsible for solving a fundamental business question: how does HERE know it has the best map?, in millions of locations globally. We are a diverse team composed of top-notch data scientists, data engineers, and map/location experts, and we want your creativity and problem solving skills to help us build and create quality assessment and modeling capabilities in a rapidly changing and dynamic industry. You will have the opportunity to work across a wide range of HERE products, and your work will be directly connected to multiple efforts to prove and continuously improve the quality of HERE's leading location platform.The role:You will be responsible for developing sampling and test designs, data and computing tools, and analytics centered on Map and Location quality requirements.* You will be a Subject Matter Expert (SME) on data science methods for Map and Location quality testing processes and involved in the following:* Interpreting project objectives and requirements, and creating enabling data science solutions and outcomes* Developing 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* Building and testing statistical and machine learning models to support improvement of a wide variety of data-driven processes for map- and location-making data evaluation and decisions* Designing and developing data and computing tools to enable processing of quality testing data and results* Engaging with map and location experts, engineering teams, and other teams across the companyWho are you?You are a highly skilled, self-motivated, Senor Data Scientist who thrives in taking on unsolved problems. You will be successful in this role with much of the following:* MS or PhD Degree in statistics, mathematics, physical sciences, econometrics, or related fields.* 5+ years of related work experience, preferably within a quality testing organization.* Proficiency of sampling methods, and data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, etc.* Proficiency with analysis and programming in R, or any similar package (Python, Matlab, SAS, etc).* Knowledge and experience with using GIS tools for spatial data analysis.* Knowledge of tools such as Pig, Hive, etc. for working with big data in Hadoop or Spark for data extraction/prep for 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.What You'll Get:* Challenging problems to solve* Opportunities to learn cool new things* Work that makes a difference in the world* Freedom to decide how to perform your work* Variety in the types of projects* Feedback so you will know how well you are doing* Collaborative, Supportive Colleagues in a workplace where you're free to be yourselfMake HERE your destination, we are just getting started. Come join us!Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets.#LI-BL1Who are we?Ever checked in somewhere on social media? Ever tracked your online orders? You might be using HERE Technologies every single day without even realizing it. You can find us everywhere: in vehicles, smartphones, drones or third-party apps. We believe that with the right people, we will continue to be a game-changer in the technology industry and improve the daily lives of people around the world. Find out more by clicking the video below or going HERE.
Associated topics: performance test, prevent, prevention, qa, quality assurance, quality assurance analyst, quality assurance engineer, software quality, software quality assurance engineer, test