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Data Scientist / Statistician

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The Lubrizol Corporation

3mo ago

  • Job
    Full-time
    Entry, Junior, Mid & Senior Level
  • Data
    Engineering
  • Pune

AI generated summary

  • You should have a degree in statistics or a related field, solid statistical knowledge, coding skills in Python/R/SAS, and strong analytical abilities. Experience with machine learning and Lean methodologies is a plus.
  • You will create predictive models, analyze data, support operational systems, collaborate on problem-solving, and train others in data analysis and visualization techniques.

Requirements

  • Bachelor’s, Master’s, or PhD degree in statistics, data science or closely related field such as biostatistics, chemometrics or operations research.
  • Solid understanding of statistical methods; training and applied experience in areas such as Design of Experiments (DOE) and multivariate data analysis methods such as PLS, DA and PCA, measurement system analysis, process capability assessment.
  • Experience with machine learning or AI algorithms and other deep learning methods is a plus.
  • Experience writing complex code in Python, R or SAS.
  • Ability to efficiently analyze large complex data.
  • Experience/formal training in Lean and 6-sigma methodologies is a plus.
  • Experience with visualization tools such as MS Power BI is a plus.
  • Strong deductive reasoning skills; strong interpersonal skills.
  • Creativity and curiosity with the ability to learn and apply new concepts quickly.
  • Ability to interact effectively with a wide variety of scientists and individuals.
  • Applied experience working in the chemical manufacturing and batch/continuous processing industries is a plus.

Responsibilities

  • The core responsibility of this function is delivering ML/AI systems to enable product development, deployment, and manufacturing, along with providing data science and statistics consulting services to the Lubrizol technical community.
  • This team (and this role) is instrumental in enabling data driven decision making across the enterprise with the use of the right data, tools, and processes. Data science support greatly benefits efficiency and decision making in prioritization and complexity reduction (all part of the Enterprise Operations pillar).
  • Create predictive models by mining complex data.
  • Collaborate with business and operations on problem solving using data science and statistics.
  • Provide statistical data analysis, process improvement support and sharing of best practices to enhance product development and manufacturing (ex. experimental design, process capability, product quality, reliability and manufacturing yield).
  • Support data analytics systems, including day-to-day operations and troubleshooting.
  • Collaborate and consult with data scientists and subject-area experts on statistical analytics, data mining, machine learning and visualization problems and algorithms, along with system design and implementation.
  • Develop and write data analysis and data visualization applications.
  • Conduct training on data analysis methodology and data analysis tools and applications.

FAQs

What is the primary responsibility of the Data Scientist/Statistician role at Lubrizol?

The primary responsibility is delivering ML/AI systems to enable product development, deployment, and manufacturing, along with providing data science and statistics consulting services to the Lubrizol technical community.

What educational qualifications are required for this position?

A Bachelor’s, Master’s, or PhD degree in statistics, data science, or a closely related field such as biostatistics, chemometrics, or operations research is required.

What statistical methods should applicants be familiar with?

Applicants should have a solid understanding of statistical methods and applied experience in areas such as Design of Experiments (DOE), multivariate data analysis methods (e.g., PLS, DA, PCA), measurement system analysis, and process capability assessment.

Is experience in machine learning or AI algorithms necessary for this role?

While experience with machine learning or AI algorithms is a plus, it is not necessarily required.

What programming languages are preferred for this position?

Experience writing complex code in Python, R, or SAS is preferred for this position.

Does Lubrizol value experience in Lean and Six Sigma methodologies?

Yes, experience or formal training in Lean and Six Sigma methodologies is considered a plus.

What visualization tools should candidates be familiar with?

Familiarity with visualization tools such as MS Power BI is a plus for this position.

What qualities are important for candidates applying for this role?

Important qualities include strong deductive reasoning skills, strong interpersonal skills, creativity, curiosity, and the ability to learn and apply new concepts quickly.

Does Lubrizol have experience in the chemical manufacturing sector?

Yes, applied experience working in the chemical manufacturing and batch/continuous processing industries is considered a plus.

How does Lubrizol approach diversity in its recruitment process?

Lubrizol values diversity in professional backgrounds and life experiences and seeks to create a consistent, unbiased, and transparent recruitment process.

What cultural beliefs does Lubrizol encourage in its employees?

Lubrizol encourages its employees to be All In, Lead Decisively, Take Action, Think External, and Be Courageous.

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The Lubrizol Corporation

Our unmatched science unlocks immense possibilities at the molecular level, driving sustainable and measurable results.

Manufacturing & Electronics
Industry
5001-10,000
Employees
1928
Founded Year

Mission & Purpose

The Lubrizol Corporation, a Berkshire Hathaway company, is committed to enabling a sustainable future. Our unmatched science unlocks immense possibilities at the molecular level, driving sustainable and measurable results to help the world Move Cleaner, Create Smarter and Live Better. Our solutions are used by people every day, improving billions of lives around the world. Founded in 1928, Lubrizol owns and operates more than 100 manufacturing facilities, sales and technical offices around the world and has approximately 8,800 employees.