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Senior Data Scientist
Ref No.: 18-00675
Location: St. Paul, Minnesota
Position Type:Direct Placement
Start Date: 10/12/2018
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Job Description:

We are looking for a data scientist to join a world-class team applying innovative analytic approaches to extremely complex problems in the areas of the industrial internet (IoT), equipment performance management and customer's building systems. This position is focused on developing models improving customer and internal facing products to deliver increased directly actionable insights that impact our customer's business. The incumbent is responsible for the model management, integrating with existing systems, as well as identifying and implementing improvements to these processes.
Duties and Responsibilities:
  • Work with a cross-functional team to generate new and unique service offerings.
  • Work with cross-functional team to apply data science techniques to identify building issues/optimization opportunities that improve customer business metrics.
  • Lead the development and implementation of state-of-the-art statistical forecasting models and anomaly detection algorithms to enable predictive service offerings.
  • Responsible for developing and validating the accuracy of the models/algorithms across a wide variety of applications.
  • Stay up-to-date in the field of data science.
  • Identify and apply new technologies as necessary in the development of products.
  • Advanced knowledge of modeling techniques and experience visualizing model outputs for engineers, customers, and stakeholders.
  • Demonstrated ability to translate business needs into relevant data science activities that drive business value.
  • Familiarity with data science tools and the ability to adapt to new data science technologies, as necessary.
  • Strong written & oral English communication skills to interface effectively with team members, customers, and stakeholders.
  • Ability to travel occasionally (< 10%).
The ideal candidate will also have the following:
  • 5 plus years' experience applying data-driven modeling to solve business problems.
  • Working knowledge in the following technologies: Python, SQL, R, Alteryx, Microsoft Azure, IBM Watson, Tableau, etc.
  • Advanced knowledge of database systems including relational, column store and data marts.
  • Ability to mentor and direct other data scientists and engineers.
  • Understanding of and experience with engineering/time series data.
  • Experience in statistical inference, unsupervised machine learning, and supervised machine learning.
  • Understanding of large-scale data mining and machine learning techniques for clustering, classification, regression, and anomaly detection.
  • Ability to manipulate and visualize both structured and non-structured datasets.
  • BS, MS or PhD in computer science or statistics related discipline with machine data experience preferred.