Position Overview/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. We are seeking a high-potential Operation Research Analyst to assist in all phases of mobility projects, including problem formulation, optimization model development, and model deployment for use in support of Ford Smart Mobility business units. The analyst needs to have strong self-discipline and have learning attitude to face different challenges in the fast changing mobility field. The job candidate should have great autonomy and self-discipline to conduct original research and choose appropriate methodologies to solve the world-class mobility problems.

Responsibilities:

    Develop optimization frameworks to support models related to mobility solution, routing problem, pricing and operation strategy to improve and guide business decisions.
    Support the deployment of analytical tools related to quantitative mobility solutions. Maintain and enhance previously developed models and tools.
    Work with various data sources and platforms (Unix/Linux, Teradata, Hadoop) to gather data.
    Analyze and visualize diverse sources of data, interpret results in the business context and report results clearly and concisely
    Execute both descriptive and inferential ad hoc requests in a timely manner.
    Communicate and present models to business customers and executives.
    Employ econometric /operation research techniques to assess, monitor and forecast different sources of risk.
    Work collaboratively with different business partners and be able to present result in a clear and concise manner


Basic Qualifications:

    Master’s degree in a quantitative field such as Statistics, Computer Science, Applied Mathematics, Physics, Operations Research, Engineering or Quantitative Finance
    1+ years' experience in automotive industry 


Preferred Qualifications:

    Ph.D. in a quantitative field such as Applied Mathematics, Operation Research, Computer Science, Physics, or Engineering
    Demonstrated skills in large scale data manipulation machine learning techniques and mining / pattern recognition using big data techniques
    Demonstrated proficiency with simulation techniques such as Monte Carlo.
    Knowledge of theoretical / empirical techniques commonly used in industrial organizations (e.g. game theory, contract theory, oligopoly theory).
    Experience with C# and/or JAVA for developing Windows and Web applications is a plus.
    Experience with parallel/grid computing is a plus.
    Demonstrated skills in conducting complex statistical analysis in a business or academic setting
    Strong knowledge of optimization techniques (e.g. linear/nonlinear/dynamic programming).
    Strong programming skills in C++, Java, Python, R, MATLAB, CPLEX and/or SAS; some experience with SQL, SPARK, Hadoop.
    Experience with Microsoft EXCEL, PowerPoint and Word. Ability to create and manipulate pivot tables and graphs a plus
    Ability to handle multiple projects within a given timeframe.
    Strong oral and written communication skills.
    Ability to translate complex quantitative methods into easily understood results for all levels of business customers.



The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always to go further.

Visa sponsorship may be available for this position.
