DENSO seeks a Data Analytics Specialist

By | jobs

DENSO is one of the largest global automotive suppliers of advanced technology, systems and components in the areas of thermal, powertrain control, electronics and information and safety. From automated driving to hybrid and electric vehicle components, we’re crafting the core technologies of modern mobility. We draw on the strengths of innovators who are joining together to become an unstoppable force for global good. With our North American headquarters located in Michigan, DENSO employs more than 24,000 people at 28 consolidated subsidiaries and 4 affiliates across the North American region. Worldwide, the company has more than 200 subsidiaries and affiliates in 38 countries and regions and employs more than 170,000 people. Consolidated global sales for the fiscal year ending March 31, 2018, totaled US$48.1 billion.

Primary Responsibilities
The Data Analytics Specialist will be responsible for analyzing V2X data and developing core algorithms for improving traffic safety by interpreting and predicting traffic and driver behavior including:

 Applies statistical techniques and quantitative methods to analyze V2X driving data and traffic data. Utilizes machine learning methods in support of statistical analysis. Assists in seeking, evaluating and implementing numerical methods and applications.
 Aggregate data from multiple sources and assimilates into meaningful inputs for databases. Create new hypotheses derived from analytics for applications towards strategic planning and business development efforts
 Engage with external partners in industry and academia as needed to ensure we maintain technological leadership. Collaborates with members of various data analytic teams.

Education & Experience Desired:

  • PhD degree in, Mathematics/Statistics and/or Computer Science or other technical concentration or an equivalent combination of education. Three to five years of experience in a relevant technical, analytical or statistical role. Experience working with large data sets, and/or experience working with distributed computing tools is desired.
  • Some experience solving V2X analytical problems using quantitative approaches. Familiarity manipulating and analyzing high-volume, high-dimensional V2X data from varying sources.
  • Experience working with various machine learning methods, including supervised and unsupervised learning. Familiarity with relational databases and SQL. Knowledge of an analysis tool such as Python; C/C++; TensorFlow or PyTorch, MatLab/Simulink.

If interested contact Dr. Rajesh Malhan (, Director, NA Research & Development Dept., and provide your employment authorization status (H1B, citizen, etc).

Undergrad Research Opportunity: Linking Survey and Big Data

By | Educational, General Interest, jobs

Linking existing social survey data to administrative (big) data sources is a powerful way to expand the data available for sociological inquiry. This project pursues a range of different linkage projects. We will add historical Census data as well as rich data on housing from a real estate vendor to ongoing, large-scale survey studies of American families. These matched data will end up supporting exciting new opportunities for research on the long-term trends in economic wellbeing and the transmission of social inequality across generations in the United States.