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Manufacturing Data Scientist

Location: Granville, Ohio - United States Description The Manufacturing Data Scientist is a key leadership and execution role within Manufacturing Science & Technology team, responsible for delivering manufacturing productivity and quality improvements through the application of advanced analytics. Join an organization that believes that every employee owns a piece of our bold growth goals and ultimate success. We are a market-leading innovator that has placed on the Fortune 500?. Owens Corning is devoted to delivering sustainable solutions across our three business segments while striving to ensure our people and products make the world a better place. We take pride in having an inclusive and diverse workplace with employees around the globe. A holistic sense of community exists across our entire organization as our talent grows globally. We are a company that fully recognizes the importance of paving a path to a sustainable and safe enterprise through investing in our people. Our desire to make an impactful difference in the world flows from top down to all levels of the organization. By being a company that instills pride within each and every employee, we aspire to build market-leading businesses; global in scope - human in scale. The position reports to: Leader, Manufacturing Analytics Responsibilities Apply advanced analytics across Owens Corning?s manufacturing processes Specific Activities Include Be a Subject Matter Expert for all aspects of data analytics applications from descriptive through to prescriptive solutions. Design, build, deploy and maintain highly scalable analytical solutions that support those running the operations to make more efficient and effective decisions. Deep and broad knowledge in the application of advanced analytical techniques to solve business problems. Create and maintain effective relationships with external service providers and influence the delivered services and solutions to ensure Owens Corning?s use case is understood and optimally achieved. Identify additional sensors to include missing information that is relevant for building analytics systems. Use data analysis to identify interactions between process and product quality, leverage process capability to optimize quality, and identify process enhancements to improve product quality and consistency. Validates mathematical modeling results with design of experiments or empirical data in manufacturing processes, pilot studies or lab experiments. Works with cross functional teams of scientists, engineers, and operations in R&D, manufacturing process, and data infrastructure. Communicates from factory floor to business leaders, sees options uniquely across all businesses, and has the ability to interface/collaborate in a business sensitive manner that is flexible and unbiased. Understands manufacturing data, manufacturing process, and fundamental meaning of process measurements. Understands applied physics (enthalpy, heat transfer, etc) Proven track record of applying data science methods to business problems in operations (manufacturing, supply chain, etc.) Developing & Executing Strategy for deploying and maintaining a robust advanced analytics platform and capability Specific Activities Include Develops solutions that can be understood and used by operations to extract insights and make decisions Standardizes, simplifies and improves the user friendliness of analytics platform for more widespread use of tools across OC. Stays current with respect to statistical/mathematical methodology, to maintain proficiency in applying different methods and justifying methods selected. Leads the assessment and introduction of new statistical/mathematical technology and methodology to apply in broader practice. Commits to evolving how projects are managed to match the business and project needs, change management challenges and communication requirements to successfully deliver impactful results. Defines, develops and communicates the technology standards for manufacturing analytics. Builds a community for growing the capability within Owens Corning through personal development, mentoring and teaching opportunities with peers. External networking, building relationships to maintain awareness of leading edge technologies and how Owens Corning should best apply these technologies. Job Requirements Experience: Technical Expertise ? 5+ years of experience applying advanced analytics techniques (data mining, descriptive statistics, visualization) to solve complex business problems including 2+ years of deep technical experience in predictive analytics, machine learning, and/or optimization. Fluent in multiple technologies such as with Python, Azure ML, IBM SPSS Modeler, R or comparable technologies required. Strong database skills required. Experience with visualization techniques preferred. Experience with optimization software preferred. Technology Leadership - Strong working knowledge of contemporary analysis technology, software platforms, and methodologies with the ability to apply it to our manufacturing processes. The ability to educate senior leaders on the impact and benefit of analytics (descriptive, predictive, prescriptive and cognitive) in our operations. Project Leadership ? Small to medium scale project management experience, including, but not limited to scope, schedule, cost, risk, resource, and change management. Possibly including initiatives with global reach, technology, processes, cross-functional teams and partner team members. Consulting skills - Proven track record of influencing the decision and problem-solving processes. The ability to understand business and economic drivers and align goals across functional lines and organizational boundaries for execution. Global Experience ? understands, communicates with, and effectively interacts with people across cultures to achieve business results. Prior experience participating or collaborating with cross-functional and cultural teams is beneficial. Education Requirements ? Advanced degree in analytical competency (Engineering, Physics, Applied Mathematics, Data Science, etc.) is required. Knowledge and Abilities: Analytics - Has demonstrated experience in applying statistical techniques to solve business problems. Visualization ? Has experience in the effective utilization of visualization techniques to explore data to find root causes as well as presentation of results. Optimization - Demonstrated experience in various optimization techniques including linear programming, integer programming, non-linear programming and dynamic programming. Leadership - Recognized expert in their field with the ability to help other define the problem and move quickly to resolution. Someone sought out to bring resolution to an issue in timely, cost effective manner. Consultative Skills - Ability to influence business partners in their decision-making. Shape solutions by helping partners articulate what they need. Problem Solving ? Strong intrinsic problem-solving skills. Ability to structure and solve problems and conduct and interpret analysis independently with demonstrated analytical and quantitative skills. Diversity - Understands, communicates with, and effectively interacts with people across cultures. Effectively achieves business results working across and with multi-national teams. Communication ? Strong presentation and communication skills with ability to explain complex analytical concepts to people from other fields. External Technology Knowledge - Keeps abreast of the latest technological developments in areas that can push our technology roadmaps to realization. Constantly looks for opportunities to incorporate new solution methods to solve existing problems. Personal Characteristics: Unconditional commitment to safety Competes on Analytics Adaptability - Ability to respond quickly to the demands of the moment. A flexible person who can stay productive when the demands of work pull in many different directions at once. Shifts focus as necessary to maintain effectiveness in a variety of environments. Can quickly come up to speed on a project and be a contributor. Accountability - Knows what needs to be done and gets it done. Willingly takes responsibility for the organization as a whole; unafraid of owning the results, actions, and decisions of self or organization. Committed to follow through to completion ? excuses and rationalizations are totally unacceptable. Curiosity - Naturally curious, leading one to seek knowledge about people and things that stretch beyond one?s own work environment. Thrives in a dynamic work environment, where new subject matter is learned and quickly put into practice. An information ?sponge? ? constantly absorbing new methods, technologies, and approaches that will deliver business outcomes. Decisive - Is able to make a decision both competing through analytics and under conditions of high uncertainty. Weighs risks and prioritizes actions to deliver organizational effectiveness with speed. Risk Taker / Innovator - Is willing to push the envelope to meet stretch goals. Not satisfied with the status quo but willing to be aggressive to implement the next breakthrough technology and get our operations to the next level. About Owens Corning Owens Corning (NYSE: OC) develops, manufactures and markets insulation, roofing, and fiberglass composites. Global in scope and human in scale, the company?s market-leading businesses use their deep expertise in materials, manufacturing and building science to develop products and systems that save energy and improve comfort in commercial and residential buildings. Through its glass reinforcements business, the company makes thousands of products lighter, stronger and more durable. Ultimately, Owens Corning people and products make the world a better place. Based in Toledo, Ohio, Owens Corning posted 2017 sales of $6.4 billion and employs 19,000 people in 37 countries. It has been a Fortune 500? company for 64 consecutive years. For more information, please visit www.owenscorning.com . A career at Owens Corning offers the ability to enhance your expertise and achieve your personal and professional aspirations. Through it all, we?ll empower you with an environment that encourages open communication and big ideas, competitive pay for your performance, comprehensive benefits, and more opportunities to make your impact. Must be eligible to work in the U.S. on a permanent basis. Owens Corning is an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or status as an individual with a disability.

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