Analytics Scientist

<strong><u><br /></u></strong>We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners.

Dearborn, MI

Ford Motor Company

<h3>Our purpose:<br />To drive human progress through freedom of&nbsp;movement</h3> <h3>Our aspiration:<br />To become the world&rsquo;s most trusted&nbsp;company<br /><br />Today, Ford Motor Company touches the lives of people in every corner of the globe, not just by making and selling the most technologically advanced, reliable and fun-to-drive vehicles in the world, but by leading the way in manufacturing and business&nbsp;innovation. The Government Relations team at Ford Motor Company works to shape policy and legislation at all levels of government to support the company&rsquo;s auto and mobility&nbsp;businesses.</h3>

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Associate

Overview: Operations Analytics (OA) team within Ford's Global Data, Insights, and Analytics (GDI&amp;A) organization is looking for a highly skilled quantitative analyst / data scientist to assist in model development, evaluation, and deployment. You will have the opportunity to collaborate with some of the brightest global experts that are transforming the automobile industry.<br /><br />Technical Excellence is a multi-functional research team within the OA group at Ford GDI&amp;A that focuses on applying advanced quantitative methods to solve a wide variety of challenging business problems. We focus on utilizing analytic technologies such as Computer Vision, Machine Learning, Natural Language Processing, Optimization, Diagnostics/Prognostics, and IoT technologies to improve efficiency of Ford's business and reduce cost.
Responsibilities: <ul> <li>Research and apply the latest quantitative techniques toward the solution of important business problems</li> <li>Review academic and industry literature, develop proof-of-concept models, and gain insights from research findings</li> <li>Translate ideas and theory into solutions that business can benefit from</li> <li>Communicate with business partners to understand the problems and translate high-level ideas into well-defined mathematical formulations</li> <li>Provide training courses and workshops on modeling skills, such as machine learning, optimization, statistics, simulation, etc.</li> <li>Enforce quality assurance of analytic solutions through technical governance process</li> <li>Have the intellectual curiosity to identify and develop new modeling technologies/methodologies/software packages to improve the current modeling processes</li> </ul>
Requirements: <br /><br /><strong><u>Basic Qualifications<br /></u></strong> <ul> <li>Master's degree in a Mechanical Engineering or other Quantitative Field</li> <li>2+ years of experience doing quantitative research using techniques from one or more of the following areas:<br /> <ul> <li>machine / deep learning,</li> <li>natural language processing,</li> <li>statistics / statistical modeling,</li> <li>optimization / mathematical programming</li> </ul> </li> </ul> <ul> <li>1+ years of experience in data manipulation using SQL or Alteryx</li> <li>1+ years of experience in at least two of the following languages: R, Python, MATLAB, Java, Scala, Julia, C/C++/C#</li> </ul> <strong>Preferred Qualifications<br /></strong> <ul> <li>Ph.D. degree in a quantitative field such as Operations Research, Computer Science, Engineering, Statistics, Mathematics, Physics, etc.</li> <li>3+ years of experience with quantitative research and data manipulation</li> <li>3+ years of experience in at least two of the following languages: R, Python, MATLAB, Java, Scala, Julia, C/C++/C#</li> <li>Comfortable working in an environment where problems are not always well-defined</li> <li>Strong oral, written, and interpersonal communication skills</li> <li>Well-organized, independent and ready to work with minimal supervision</li> <li>Experience in automotive industry a plus</li> </ul> Join our team as we create tomorrow! We believe in putting people first, working together, and facing challenges head-on, because we're Built Ford Tough. We're one team striving to make people's lives better while creating new value, delivering excellence, and ultimately going for the win.