Job Description R&D Quantitative Analyst (Analytics Research Analyst)
Position Overview/Description: The Analytics Research and Development team within Ford’s Global Data, Insight and Analytics (GDI&A) organization is looking for a highly skilled quantitative analyst / data scientist to assist in all levels of model development, evaluation, and deployment. The analyst will have significant autonomy in conducting research and selecting modeling methodologies. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automobile industry.
Analytics R&D is a cross-functional research team within Ford GDI&A that focuses on applying advanced quantitative methods to solve a wide variety of challenging business problems. Past and current projects include: quantitative marketing analytics; application of statistical / machine learning techniques to economic, financial, and marketing related business problems; social network analysis; quantitative financial risk management and portfolio optimization; and economic scenario simulation and analysis.
Research and apply the latest quantitative techniques toward the solution of important business problems
Review academic / industry literature, develop and test models, and gain insights from research findings
Translate ideas and theory into solutions the business can use to grow
Identify new and novel data sources and explore their potential use in developing actionable business insights
Explore emerging technologies and analytic solutions for use in quantitative model development
Help maintain and enhance existing models
Ph.D. in a quantitative field such as Statistics, Economics, Mathematics, Physics, Operations Research, Computer Science, Cognitive Neuroscience, Quantitative Social Science, Quantitative Finance
3+ years of experience doing quantitative research using techniques from one or more of the following areas: 1) machine / deep learning, 2) advanced econometrics / statistics, 3) optimization / mathematical programming
2+ years of experience in at least two of the following languages: R, Python, MATLAB, Java, Scala, Julia, C/C++/C#
1+ year of post-graduate work experience (in a business or post-doc setting) involving complex quantitative modeling and analysis
Demonstrated skills in manipulation and data mining / pattern recognition of large structured and unstructured data sets
Experience with big data technologies such as Spark, Hadoop, Map/Reduce, Hive, etc.
Experience with parallel / grid / GPU computing
Good oral and written communication skills
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 ready to go further.
Visa sponsorship may be available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.