HERE

Principal Data Scientist/Engineer

US-WA-Seattle
Requisition ID
2017-18498
Category
Research & Software Developmnt

Overview

HERE is the leader in the Location Cloud business – the map for the 21st century. Using cloud infrastructure we are delivering mobile apps and services that help people to solve daily challenges and to make their lives more rewarding. It is our goal to help people live delightful, safer, more fruitful, and more sustainable lives while respecting their privacy by providing the right map, and the right experience, for every moment.   

                                             

The CTO Data Science team is a mix of hard core data scientists, data architects and software engineering geeks. Our mission revolves around extracting maximum value from a myriad of data sources across the HERE organization, building predictive analytic models, automating data-driven processes and helping drive best practices across HERE regarding data collection, instrumentation, privacy, and accessibility. This includes conceptualizing, specifying, and helping drive implementation of platform level analytics products such as high-volume, multi-dimensional scoring engines, A/B testing, recommender models, user profiling, and location profiling.

Responsibilities

  • Function as a predictive modeling expert or application team lead on internal and customer-facing external projects.
  • May manage a group of data scientists and engineers on a project.
  • Help design and build the next version of HERE’s predictive analytics products/systems and predictive model deployment framework employing a highly scalable Big Data infrastructure.
  • Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-building and external, customer-facing automated decision and system control needs.
  • Design and analyze A/B experiments that validate different optimization and predictive scoring solutions and/or calibrate predictive model parameters.
  • Act as an expert and evangelist in areas of data mining, machine learning and deep learning, statistics, and predictive analysis and modeling.

Qualifications

Required

  • MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, Econometrics, etc., with an emphasis on or thesis work in one or more of the following areas: computational statistics/science/engineering, data mining, machine learning, or optimization.
  • Minimum of 10 years related, professional experience.
  • Knowledge of data mining and analytic methods such as deep learning, regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge and experience in one or more of these areas.
  • Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
  • Programming experience with SQL, shell script, Python, etc.
  • Knowledge of and some experience with tools such as Hive, SparkSQL, etc., for working with big data in AWS and/or Hadoop or Spark for data extraction and data prep for analysis.
  • Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
  • Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.
  • Previous project team lead responsibilities.

Desired

  • Experience in software development life cycle including coding standards, code reviews, continuous integration, testing, deployment and operational support, particularly of predictive analytics solutions and/or products.
  • Experience working in an agile program management environment.

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.

 

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