Senior Data Analytics Scientist

At Ford, we go further to make our cars better, our employees happier and our planet a better place to be. Learn more about the work that makes Ford a company that we’re proud to be a part of. People working together as a lean, global enterprise to make people’s lives better through automotive and mobility leadership.

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 lead 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 lead initiatives to leverage unique data streams using predictive analytics, and quantify the customer value of vehicle technologies.

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) * Lead analytical model building by data mapping and preprocessing, and document information flows * Identify key data elements to extract/decode/analyze * Lead the development of 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

* PhD in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, Physics, or related technical 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 **Basic Qualifications:** * Master’s Degree in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, Physics, or related technical field * 2+ 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.), and command line experience with loading and manipulating files within HDFS