Analytics Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Creating the future of smart mobility requires the highly intelligent use of data, metrics and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

What you’ll be able to do:

The Marketing Analytics team in Credit Analytics is looking for a high-potential Analytics Scientist to work on customer experience and marketing campaign initiatives within Ford Motor Company's Global Data, Insight, and Analytics (GDI&A) organization. In this role, you will perform analytics, including experimental design and analysis as well as building advanced models to support Ford Motor Credit Company’s marketing activities.

• Works with Customer Experience and Customer Relationship Management teams to conduct and support marketing analyses Maintain models and algorithms on an ongoing basis
• Continuously explore ways to enhance marketing models
• Develop model tracking methodologies and reports to monitor model performance
• Investigate data issues
• Use data-mining techniques to find opportunities in the marketing area
• Use clickstream data to provide insights for Customer Experience on our digital platform
• Help design marketing campaigns and measure results
• Work with various data sources and platforms (Hadoop, PC, Mainframe, Unix/Linux, Teradata, flat files) to compile data
• Utilize statistical software (e.g., SAS, R, Python, Alteryx, Google Analytics, Tableau, Qliksense) to develop models, evaluate marketing campaigns and programs, and develop data visualizations.

The minimum requirements we seek:

• Bachelor’s degree in Statistics, Computer Science or Mathematics
• 5+ years of experience using SAS, R, or Python
• 2+ years of experience with SQL or Hive

Our preferred requirements:

• Practical experience using analytics in a business or academic environment
• Ability to translate complex quantitative methods into business insights and present to a non-technical audience
• Strong verbal and written communication skills.
• Robust knowledge of statistical, methods (e.g., logistic regression, design of experiment, time series)
• Ability to handle multiple projects within a specified timeframe
• Learn new software tools as necessary.