Data Scientist – Research and Development (Toyota Motor Sales, USA)


We are looking for diverse, highly-motivated, enthusiastic and creative Team Members looking to join Toyota in the enablement of new technology capabilities that support a data driven culture.

We are looking for leaders that can bring our Data Science practices to the next level. This person must be hands-on and passionate about deriving Business Insights through predictive modeling efforts.

Reporting to the Data Science, Research and Development Senior Technology Manager, the person in this role will lead a team of Data Scientists and support the Toyota Collaborative Advanced Analytics Program.


Key Responsibilities

  • Perform hands-on data manipulation, transformation, hypothesis testing and predictive modeling
  • Collaborate on insights with other Data Scientists, Business Analysts, and Partners
  • Evaluate, refine, and continuously improve the efficiency and accuracy of existing Predictive Models
  • Champion new innovative ideas around the Data Science and Advanced Analytics practices
  • Creatively communicate and present models to business customers and executives, utilizing a variety of formats and visualization methodologies.



A successful candidate will have:

  • Master’s degree in Statistics, Mathematics, Behavioral Science, Computer Science, or related discipline; or at least 8 years of equivalent work experience
  • Data mining, customer segmentation and predictive modeling experience
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Experience turning analytical results into compelling stories which influences business direction
  • Hands on experience with Spark along with Open Source and Big Data Technologies, such as:
    • MLlib
    • Java, Python, or Scala
    • NoSQL, JSON
    • Hadoop
    • Impala, Hive, or SparkSQL
    • HBase, Cassandra, MongoDB, or other NoSQL Technologies
    • NLP
  • Ability to multitask and to balance competing priorities
  • Strong verbal and written communication skills

A successful candidate may have experience with:

  • Deep understanding of Machine Learning and Statistics (Linear and Non Linear Regression, Multivariate Adaptive Regression, Decision Trees, K-means Clustering, SVM, Neural Networks, Random Forest)
  • R or SAS
  • Text Mining
  • Big Data enabled Advanced Analytics Platform such as Alpine Chorus or RapidMiner
  • Social Media Data and Sensor Data
  • PhD in Statistics, Mathematics, Behavioral Science, Computer Science, or related discipline
  • Automotive Domain specifically in Customer Segmentation
  • Tableau, D3, or JQuery
  • Stanford NLP



Job posted 6/6/2015