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Data Scientist

Full Time
13 days ago
18 to 45 per hour (plus commission)

 Responsibilities include: Pursuing innovative ideas, developing models, and uncovering and communicating actionable insights; Implementing solutions to capture value; Working with various engineering teams, including owning end-to-end solution development and scaling focused on Operations (manufacturing) challenges; Developing and maintaining relationships with key business partners to enable improved decision-making; Building and deploying minimum viable products in the SAS Event Stream Processing tool (ESP) with the objective of solving the majority of the issues instead of “perfecting” the solution, unless critical to safety; Owning all areas of the data science lifecycle, with proficiency doing so in both open source (Python, R) and SAS; Mentoring Associate Data Scientists; Communicating technical results to technical and non-technical audiences alike; Demonstrating expertise in time series modeling with an emphasis on machine learning for time series generated from sensor data; Demonstrating expertise in anomaly detection methods for stationary and non-stationary data sets; and Developing subject matter expertise in various manufacturing areas, such as paper making, converting, and pulping.

Administrative Software and Programming Information Technology