Job Description Ford Motor Company's Global Data, Insight, and Analytics (GDIA) organization is looking for an experienced analytic professional that has a deep business understanding of data science and vehicle systems. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automobile industry.
The role spans the full mobility and connected vehicle ecosystem from deploying dynamic algorithms to the embedded micro processors in the vehicle, through data validation, analysis, and operational deployment of advanced analytics to improve customer experience both in the vehicle and across Ford’s mobility ecosystem. The incumbent must be able to cross the divide between business and engineering to gather business opportunities and map them to feasible technical solutions working closely with our vehicle engineering teams to accelerate Ford’s Mobility Vision.
This role requires a detail oriented, creative technologist, comfortable working in a highly collaborative, entrepreneurial environment, able to work with a variety of customers and manage and prioritize competing customer demands, while incrementally building the next generation of Mobility enabled vehicles optimized for revenue generation and cost mitigation.
Acting as an internal consultant across all of our business units, this position will take a leadership role delivering solutions
Ability to understand how to ingest large data sets from a variety of sources (SQL, Teradata, Oracle, Hadoop, Alteryx, QlikView etc)
Expertise to manipulate data to form unified data sets for analysis
Strong visualization skills (understanding of appropriate visualization techniques based on the data set)
Analytic capabilities with understanding of: correlation, optimization, clustering, and time series analysis)
Ability to connect Machine Learning tools to business opportunities
Communicate findings to make data analysis actionable and understandable by business partners
Ability to take complex problems and break them down to create an implement an action plan
Strong understanding of analysis and computational complexity and ability to programmatically solve problems
Job Requirements: Basic Qualifications:
Master’s degree in Mathematics, Statistics, Engineering, or related quantitative field
3+ years of hands-on quantitative modeling skills and SQL, Python, and/or Scala experience focused on constrained resource environments
2+ years of experience with scoping business requirements to meet technical constraints of a new product offering
PhD in Mathematics, Statistics, Engineering, or related quantitative field
2+ years of experience vehicle system design experience
2+ years of vision-based machine learning experience in constrained resource environments focused on brand identification and vision-to-text DNN systems.
Self-starter, high level of initiative, detail-oriented and ability to multi-task
Strong collaboration and communications skills
Strong problem formulation and problem solving skills
Strong interpersonal skills and leadership behaviors
The distance between imagination and …. Creation. It can be measured in years of innovation, or in moments of brilliance. And, it can be a road you start traveling right now. When you join Ford Motor Company, your journey begins. You 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.
At Ford Motor Company, the distance between you and an amazing career has never been shorter. Join the Ford team today, and discover the benefits, rewards and development opportunities you’d expect from a diverse global leader.
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 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. Ford Motor Company also is committed to take affirmative action to employ and advance in employment such persons.