Data Scientist, Manufacturing Analytics

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

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 Global Data Insight & Analytics 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... 

As a Data Scientist in Manufacturing Analytics, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Manufacturing to align with their needs and processes to ensure relevancy of products.

What you'll do...

• Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics. 
• Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods. 
• Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams. 
• Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. 
• Act as a consultant to the business vs. an order taker. 
• Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt. 

You'll have...

• Bachelor’s degree in a quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science 
• 2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis 
• 1+ year of experience delivering analytics solutions 
• 1+ year experience with Agile team methodology 
• Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization

Even better, you may have...

• Master’s degree or PhD preferred in quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field 
• Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory) 
• Proven experience with developing data products/solutions to support analytic applications in Ford’s data ecosystem 
• Experience with Product Driven Operating Model or Agile Product Development Process 
• Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users 
• Comfortable working in an environment where problems are not always well-defined 
• Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner 
• Well-organized, independent, and ready to work with minimal supervision 
• Inquisitive, proactive, and interested in learning new tools and techniques 
• Demonstrated hands on experience with deploying data products and/or analytic models in Ford’s on-prem and/or Google Cloud Platform 
• Demonstrated experience to translate real-world business problems into analytical formulations and interpreting analytics results with non-analytics business partners 
• Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc. 
• Thorough understanding of the ‘Common Data Model’ standard published by Manufacturing 
• Understanding of the IIoT Platform architecture including MQTT 

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