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Data Automation Engineer

Data Automation Engineer

Ford Motor CompanyDearborn, MI, United States
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We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Data Insight & Analytics within the Labor Center of Excellence makes an impact. We advise leadership on 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.

In this position...

  • The successful candidate will be a data explorer who embraces streamlining data processing through automation and programming applications, a problem solver who is energized by difficult business problems, a user who is able to provide visual data summaries, a proven communicator who effectively interfaces between technical and business teams, and a reliable team player.
  • The successful candidate will be part of and report directly within the Labor Center of Excellence. The successful candidate will bring data to life and work collaboratively to design, develop, and deploy, analytical solutions that harness internal and external data, and leverage visualizations through automation methods.
  • You will collaborate with partners primarily in manufacturing but as needed also in other groups to define problems, identify data, develop data pipelines, develop metrics, and deploy software solutions to provide actionable insights that deliver measurable, transformational benefits to Ford and the people who drive our manufacturing.

You'll have...

  • Bachelors Degree in a relevant discipline
  • 2+ years experience with python, Altyerx or R, capable at one or more of the following visualization / dashboard tools : Angular, React, Tableau, looker, Qliksense, Dash, (MySQL and PHP)
  • 2+ years experience using Power BI and Power Automate
  • 2+ years experience of using SQL, Python, Alteryx, GCP native query, and / or R for acquiring, transforming real-world data, performing data cleaning, data collection or other data wrangling challenges
  • 2+ year of work experience with on-prem data sources (Hadoop, SQL Server) and Cloud data sources (GCP) understand the data model, business rules behind the data and build data pipelines (with GCP) for one or more business domains.
  • 1+ year of work experience with Large Language Model and Natural language processing for analyzing unstructured textual data, which can be difficult for traditional data analytics techniques to process and extract valuable insights from customer feedback, social media conversations, and other textual data sources.
  • Proven ability to automate and / or streamline data from multiple sources
  • Strong oral, written and interpersonal communication skills
  • Ability to effectively advocate technical solutions to peer, management and business audiences
  • Well-organized, self-starter, independent and ready to work with minimal supervision
  • A respectful and committed teammate, willing to excel and work with talented people
  • Even better, you may have...

  • Masters in quantitative field, such as (but not limited to) Statistics, Computer Science, Economics, Mathematics, Data Science, Operations Research or equivalent experience
  • 2+ years of experience of Statistical analysis : Apply mathematical and statistical methods to design proper algorithm, develop or refine analytical model that interprets data and generates meaningful insights using skills such as linear regression, logistic regression, generalized linear regression, time series forecasting models, decision tree, regression tree, random forest, LASSO, model selection, text mining, among other mathematical, statistical and machine learning methodologies
  • 2+ years experience of data modeling, optimization : Understand different function groups’ working tasks and current practices, explore possible process improvement, identify business needs. Formulate and translate detailed business cases into mathematical / statistical problems with mathematical abstractions, and appropriate analytical optimization models
  • Work experience in automotive industry is a plus, as is experience in a manufacturing environment
  • You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

    As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like : will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including :

  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.
  • This position is a range of salary grades 6-8 .

    Visa sponsorship is not available for this position.

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