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Research Analytics Statistician (PhD Level)
Lubrizol Corporation in Wickliffe, Ohio
 
 
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Date Posted 11/25/2019
Category
Science-Statistics
Employment Type Fulltime
Application Deadline Open until filled
 
 
 
 
 

The Lubrizol Corporation, a Berkshire Hathaway company, is a market-driven global company serving customers in more than 100 countries. We own and operate manufacturing facilities in 17 countries, as well as sales and technical offices around the world. Through our global sales and manufacturing networks, we are able to deliver the products and services our customers need, where and when they need them.

At Lubrizol, our mission is straightforward: We improve lives as an essential partner in our customers’ success, delivering efficiency, reliability or wellness to their end users. Read the cover story in Smart Business Magazine to learn how Lubrizol plans to advance its growth.

Do you have an interest in making an impact to a multi-billion dollar company?

Are you passionate about taking on difficult challenges?

Use your statistics, data science & computing skills to impact global decision making!

The Lubrizol Corporation has an immediate need for highly motivated, solution-oriented Research Analytics Statistician to support our businesses in Wickliffe, Ohio.

The Statistics & Data Analytics Team

The Statistics & Data Analytics department is a focused team with a proven track record of delivering systems that enable highly effective product development via virtual experimentation, optimization and knowledge discovery. In addition, the team provides data science consulting services to the Lubrizol technical community throughout the world.

Responsibilities:

Requirements:

  • Research and implement new statistical, machine learning, and/or optimization approaches

  • Create predictive models by mining complex data

  • Serve as an internal department mentor and coach on data science problems

  • Collaborate with scientists and engineers on statistical matters, understand their needs, and find creative solutions to meet those needs

Located in a suburb of Cleveland, Ohio, this opportunity is open to early and mid-career candidates including those currently studying and available to join in 2019.

  • PhD in statistics or closely related field

  • Method development expertise in advanced modeling or optimization area(s)

  • Solid understanding of statistical methods; experience with MCMC and machine learning methods is desirable

  • Experience implementing advanced algorithms in R or Python; working knowledge of C/C++ is desirable

  • Strong deductive reasoning skills

  • Creativity and curiosity with the ability to learn and apply new concepts quickly

  • Ability to interact effectively with a wide variety of scientists

With multiple facilities in and around Cleveland, Ohio, Lubrizol is located in one of the largest economic regions in the United States. For the last seven years Lubrizol has been named one of the top workplaces in Northeast Ohio, and in 2016 was judged as the number one workplace by Northeast Ohio’s annual Top Workplaces survey. Buzzing with business, culture, knowledge and entertainment, Northeast Ohio is a vibrant place for people of all ages and walks of life to live, learn, work and play. This region offers a little bit of everything for everyone - ethnically-diverse communities, affordable housing, award-winning schools and universities, world-class healthcare, indoor waterparks and zoos, ski resorts, museums, halls of fame, one of the longest water-fronts in the country, and the most concentrated square mile of art, cultural, education and health institutions in the nation. From making your heart race at Cedar Point, to attending a professional sporting event or biking or hiking through over the 100,000 acres of state parks, to catching a Broadway show at Playhouse Square - the second largest performing arts center in the country, you can make it happen right here in Cleveland, Ohio.

Lubrizol is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, race, color, national origin, citizenship, age, religion, marital status, military service, sexual orientation, genetic information, gender identity, or any other characteristic or trait protected by federal, state, or local law.

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