1-844-696-6465 (US)        +91 77600 44484        help@dezyre.com

Data Analytics Scientist

Company Name: Ford Motor Company
Location: Dearborn, Michigan
Date Posted: 19th Nov, 2016
Description:

Ford Motor Company's Global Data Insight & Analytics (GDIA) organization is looking for an analytics scientist that has a deep understanding of data management and analysis. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automobile industry. In this role, you will support the development of optimization models by assembling data from a variety of sources as a member of the Advanced Operational Analytics team in GDIA. The developed models will provide decision support to other Ford organizations, such as Product Development, Strategy, and Sustainability. Additionally, you will support initiatives to leverage unique data streams using predictive analytics, and quantify the customer value of vehicle technologies.


Responsibilities:

You will be responsible for providing the data analytics support for departmental tasks, including assembly of data for building models and performing predictive/prescriptive analytics. 

In addition, you will:

  • Ingest large data sets from a variety of sources (SQL, Teradata, Oracle, Hadoop, and 3rd party sources in the public domain)
  • Support analytical model building by data mapping and preprocessing, and document information flows
  • Identify key data elements to extract/decode/analyze
  • Develop predictive analytics and machine learning algorithms using business critical datasets
  • Work collaboratively with various business groups and regions to disseminate critical information and develop strategic opportunities
Qualification:

Master of Science Degree in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, Physics, or similar field

  • 1+ years of academic or business experience in one or more of the following:
  • A data analytics role including running queries and compiling data
  • Predictive analytics including machine learning
  • Big Data technologies including Greenplum, Python, or Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), command line experience with loading and manipulating files within HDFS

Preferred Qualifications:

  • PhD in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, Physics, or similar field
  • Knowledge of data transfer and ingestion technologies including Talend and HVR
  • Demonstrated experience building visualizations using Tableau/Qlikview/Alteryx
  • Expertise with manipulating data to form unified data sets for analysis
  • Strong oral, written, and interpersonal communication skills
  • Proficiency in Word, Excel and PowerPoint
  • Ability to write complex NoSQL queries needed to identify & analyze data
  • Experience with SPSS, AMPL, WEKA, Matlab, R, SAS, or similar software
  • Experience working with global teams
  • Comfortable working in an environment where problems are not always well-defined, and interested in learning new tools and techniques