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Data Scientist

This job posting is no longer active.

Description

INVISTA Canada's Kingston Nylon manufacturing site located in Kingston, Ontario is looking for a Data Scientist to support INVISTA’s manufacturing plants around the world. A successful candidate will be responsible for leveraging INVISTA’s data assets - thousands of sources and billions of records from across our operations – to improve the company’s business performance.

It is an exciting phase in INVISTA’s continued evolution through growth and transformation projects. This position will be a key strategic addition in growing the capability of our global operations to make data driven decisions.

We are looking for motivated and talented people who will help us meet the challenge of leading rapid experimentation, pursuing continuous innovation and creating long-term value for customers and society. INVISTA is an independently managed but wholly owned subsidiary of Koch Industries, Inc. 

What you will do in your role.

  • Work with operations and commercial stakeholders to identify opportunities for leveraging data and analytics to drive business solutions across the entire Performance Solutions business.
  • Explore and analyze data to drive optimization and improvement of data informed decisions
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop data models and Machine Learning algorithms and implement these capabilities at scale.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Coaching and mentor-ship for developing analytics capability across the organization.

The experience you will bring.

  • Experience with a Programming Language (Python, R, Scala, Julia, Java)
  • Experience or education working with the various data storage mechanisms (Hadoop ecosystem, Microsoft SQL, Oracle)
  • Exposure to predictive analytics tools (R, TensorFlow, PyTorch, SAS, Knime, Apache Spark) and concepts (classification, regression, clustering, neural networks)

Education

  • A degree in engineering, computer science, mathematics or similar field with a focus on Data Science/Data Mining/Data Analytics

This job posting is no longer active.

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