Data Scientist / Statistician

Year    Pune, Maharashtra, India

Job Description


\xe2\x80\x8bAbout Lubrizol
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.

We value diversity in professional backgrounds and life experiences. By enabling a consistent, unbiased, and transparent recruitment process, Lubrizol seeks to create a positive experience for candidates so we can get to know them at their best. We recognize unique work and life situations and offer flexibility, ensuring our employees feel engaged and fulfilled in every aspect of life.

Summary of 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).

Essential Job Functions

  • 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.
Skills, Qualifications, Experience, Special 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 os 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.
If you\'re interested in the position, we encourage you to apply. Lubrizol is always looking for candidates who embody our cultural beliefs in everything they do. If you\'re All In, Lead Decisively, Take Action, Think External, and can Be Courageous, Lubrizol could be the place for you.

Lubrizol

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Job Detail

  • Job Id
    JD3205748
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Pune, Maharashtra, India
  • Education
    Not mentioned
  • Experience
    Year