2018 GDI&A Entry Level Data Scientist / Analyst
Auto Req ID:
28716BR
Job Title:
2018 GDI&A Entry Level Data Scientist / Analyst
Location:
Dearborn
State:
MI
Company:
Ford Motor Company
Job Description
Ford is looking for talented, career-oriented people to be our next generation of leaders.
If you have...
Who We Are:
We are trusted advisors enabling Ford to see our business, know our customers, and act in a meaningful way. We enable evidence based decision making by providing timely, actionable, and forward-looking insights to our Ford business partners.
Opportunities include, but are not limited to:
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not 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.
Ford is looking for talented, career-oriented people to be our next generation of leaders.
If you have...
- A Passion for Learning: For you, every job is a chance to grow and apply what you know.
- An Adventurous Spirit: You look at a career as a series of exciting opportunities that can take you across the country or around the world.
- A Desire to Have an Impact: Whether it’s through supporting your communities or reaching personal goals, you thrive on making a difference.
- A Distinctive Personality: You’re someone who embraces your individuality and appreciates the uniqueness in your teammates.
Who We Are:
We are trusted advisors enabling Ford to see our business, know our customers, and act in a meaningful way. We enable evidence based decision making by providing timely, actionable, and forward-looking insights to our Ford business partners.
Opportunities include, but are not limited to:
- Leveraging the latest techniques in machine learning and ‘big data’ to model internal and external data sources
- Forecasting vehicle sales and marketing outcomes
- Analyzing and optimizing marketing activities
- Leading new initiatives in the areas of autonomous vehicles and sustainability
- Supporting connectivity and mobility solutions
- Data development and management including transactional and 3rd party data sources
- Developing and implementing analytics models and visualization tools for Manufacturing Processes and Supply Chain Management
- Developing and operationalizing data standards, quality and governance across the enterprise
- Developing new data sources and analytic methods
- Working with large data sets from multiple sources and create visualizations to answer key business questions
- Researching and developing models to quantify exposure to various sources of risk (credit, residual, market, operations, regulatory, and compliance)
- Creating analytics for Manufacturing, Purchasing, Product Development, Human Resources, Legal, and other areas of the business where data can drive improvements
- Students graduating from a Bachelor’s, Master’s, or PhD program with a concentration in a quantitative field such as Math, Statistics, Economics, Computer Science, Operations Research, Engineering, or Physics
- GPA of at least 3.0 on a 4.0 Scale (or equivalent)
- Expected graduation date is no later than June 2018
- Strong oral and written communication skills
- Experience with Microsoft Excel, PowerPoint and Word
- Demonstrated skills in large scale data manipulation, machine learning, and mining / pattern recognition
- Critical thinking skills that demonstrate the ability to use existing and discoverable data to solve business problems
- Familiarity with topics such as maximum likelihood estimation, linear and non-linear modeling, causal inference, density estimation, optimization, scheduling, time series forecasting, stochastic processes, survival analysis, data blending and data visualization, multivariate techniques such as PCA, factor analysis, and cluster analysis
- Ability to translate complex quantitative methods into easily understood results for all levels of business customers
- Ability to handle multiple projects within a given timeframe
- Experience with tools such as Hadoop, Alteryx, QlikView, Tableau, Apache, Spark, Caffe or other deep-learning libraries
- Strong programming skills; Experience in R, Python, SAS, SQL or Matlab
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not 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.