Senior Data Scientist (Chicopee)

Compensation

: $91,060.00 - $134,310.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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Posted Date 5 months ago (6/24/2019 10:58 AM)

Category Research & Development

Position Summary

Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump. The Sr Data Scientist role is responsible for supporting research and development of global analytics and data science initiatives, according to Insulets data analytics strategy. Working with the Manager, Analytics Technologies, you will develop tools and processes to transform data into insights with subject matter experts from cross-functional teams. You will collaborate with other Data Scientists in the Analytics COE, R&D, and clinical experts to develop next generation artificial pancreas systems to make a meaningful impact on patients lives. Using machine learning and pattern recognition techniques in time series data, you will develop algorithms to recommend optimal behaviors and pump parameters, to make a meaningful impact on clinical outcome for our patients. We are a fast growing company that provides an energetic work environment, and tremendous career growth opportunities.

Responsibilities

  • Work with IT and cross functional teams to identify data sources, design data ingestion, clean up, and pre-processing scripts as needed.
  • Leverage cloud computing technologies for automated machine learning and analytics pipelines, such as Azure, AWS, GCP, etc.
  • Explore data patterns using existing data science tools and self-created programs.
  • Perform statistical analysis, predictive modeling, and generate automated reporting as required.
  • Develop and implement algorithms for insulin pump therapy optimization, and next generation artificial pancreas insulin control
  • Clearly communicate findings to a broad audience, in relation to business objectives.
  • Mentor junior engineers/scientists.
  • Performs other duties as required.

Education and Experience

  • Bachelors or Masters degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field is required.
  • At least 2 years of work experience on machine learning, artificial intelligence, or statistical inferences .
  • Experiences in medical device or healthcare industries is desirable.
  • Experience in one or more analytic software tools, such as Python, R, Matlab.
  • Demonstrated proficiency in SQL and one or more relational databases, such as Oracle, Teradata, Microsoft SQL Server, etc
  • Knowledge of diabetes pathophysiology, insulin signaling, and/or human physiology
  • Knowledge in non-relational databases (MongoDB) is a plus
  • Experience in Business Intelligence tools, such as Spotfire, Tableau, Cognos.
  • Demonstrated knowledge of software engineering principles and practices.
  • Ability to work independently without detailed guidance, while maintaining effective communications with leaders and stakeholders.
  • Ability to communicate effectively and document objectives and procedures.

  • Associated topics: data analytic, data center, data integration, data manager, data quality, data warehouse, database, hbase, mongo database administrator, sql * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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