R&d Digital Innovation Phd Engineer at Procter & Gamble (P&G) in Mason, OH
The Digital Innovation organization is charged with transforming how science and engineering is done by leveraging a range of digital methods ranging from computer simulation to data engineering and analysis. This requires both Engineering / Science skills AND data expertise in data engineering, analysis, and modeling. This is not separate work from traditional R&D but rather reinventing how we do R&D in an increasingly data rich and simulation driven world. Important
Responsibilities:
Define conceptual/logical data model and data architecture and strategy to meet agreed business requirements of pilot projects and build MVP accordingly. Use engineering and science background to ensure that data models are based on sound hypothesis and reflect scientific principles. This is about doing science with data, not data science. Partner with IT/GBS to define data storage solution and access of data. Scope includes acquiring, cleaning, formatting, and structuring data to enable data analysis. Visualize data in a way that both enrolls others and help them to make better decisions. Qualifications 1) Education:
PhD degree in important to P&G innovation:
Chemical Engineering, Mechanical Engineering, Chemistry, Biology, Physics, and related degrees. 2) Demonstrated experience/expertise:
a) Database and Programming experience (demonstrated real world skills) with databases (relational, graph, NoSQL, MongoDB), data modeling, and relevant programming tools such as SQL, Python. b) Exposure to cloud technologies (MS Azure, AWS, Google Cloud, etc.) and Database technology (Hadoop, MS SQL Server) 3) Technical curiosity and rigor. The ultimate goal is more effective data usage in R&D leading to faster learning and additional insights. Successful individuals use data and models to create causal understanding and identify opportunity areas where innovation is required to solve technical challenges. Previous work in Manufacturing, Product or Process development and measurement science is a plus. 4) Collaboration skills. This role requires collaboration and agility to work well with multiple platforms, suppliers, manufacturing plants' partners to resolve technical issues associated with material delivering. 5) Excellent written and communication skills:
Once we have determined better ways to analyze data, communication of these insights, effective communication is needed to be successful. 6) Sense of urgency and discipline in operation. We run a fast-moving business with dynamic needs. 7) Leadership, collaboration combined with problem-solving in the product and process development areas; passion to win, yet the ability to listen and integrate input from others to enlarge the value; on-going effort to improve productivity and decision making.
Salary Range:
$80K -- $100K
Minimum Qualification
Engineering Management, Mechanical EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
Responsibilities:
Define conceptual/logical data model and data architecture and strategy to meet agreed business requirements of pilot projects and build MVP accordingly. Use engineering and science background to ensure that data models are based on sound hypothesis and reflect scientific principles. This is about doing science with data, not data science. Partner with IT/GBS to define data storage solution and access of data. Scope includes acquiring, cleaning, formatting, and structuring data to enable data analysis. Visualize data in a way that both enrolls others and help them to make better decisions. Qualifications 1) Education:
PhD degree in important to P&G innovation:
Chemical Engineering, Mechanical Engineering, Chemistry, Biology, Physics, and related degrees. 2) Demonstrated experience/expertise:
a) Database and Programming experience (demonstrated real world skills) with databases (relational, graph, NoSQL, MongoDB), data modeling, and relevant programming tools such as SQL, Python. b) Exposure to cloud technologies (MS Azure, AWS, Google Cloud, etc.) and Database technology (Hadoop, MS SQL Server) 3) Technical curiosity and rigor. The ultimate goal is more effective data usage in R&D leading to faster learning and additional insights. Successful individuals use data and models to create causal understanding and identify opportunity areas where innovation is required to solve technical challenges. Previous work in Manufacturing, Product or Process development and measurement science is a plus. 4) Collaboration skills. This role requires collaboration and agility to work well with multiple platforms, suppliers, manufacturing plants' partners to resolve technical issues associated with material delivering. 5) Excellent written and communication skills:
Once we have determined better ways to analyze data, communication of these insights, effective communication is needed to be successful. 6) Sense of urgency and discipline in operation. We run a fast-moving business with dynamic needs. 7) Leadership, collaboration combined with problem-solving in the product and process development areas; passion to win, yet the ability to listen and integrate input from others to enlarge the value; on-going effort to improve productivity and decision making.
Salary Range:
$80K -- $100K
Minimum Qualification
Engineering Management, Mechanical EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
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