Engineering Manager- Data Science

Medtronic   •  

Northridge, CA

Industry: Manufacturing

  •  

5 - 7 years

Posted 54 days ago

This job is no longer available.


A Day in the Life
• Manage technical team with focus on algorithms and model development. Establish a structure for this team that can meet data science organizational needs• Lead algorithm development projects from investigation through to productization• Work closely with the engineering team to operationalize infrastructure for data science algorithms.• Keep up-to-date with the latest techniques and approaches in machine learning and statistical analysis.• Identify and implement systems and tools to facilitate the algorithm development life cycle. Develop and Implement operational mechanisms within the team for efficient algorithm development • Develop individuals assigned to the team, promote engagement and ensure job satisfaction of individual team members • Communicate algorithms and analysis in a clear, precise, and actionable mannerResponsibilities may include the following and other duties may be assigned.• Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage.• Conducts statistical analysis on data and information to ensure correct predictive forecasting or classification.• Manages all aspects of end-to-end data processing utilizing customized report building functions of systems.• Maintains analytical systems, verifies the accuracy of the data, and acts as a liaison to the business.
Must Have: Minimum Requirements

• Bachelor’s with 5+ years of experience, Master’s with 3+ years of experience or a Ph.D. with 1+ years of experience. Degree must be in Statistics, Math, Computer Science or similar field.• Experience working with and implementing advanced analytics and algorithm methodologies• Experience leading within a team-based project environment• Experience with Python, R or similar data-science scripting language• Experience with statistical modelling• Experience in using SQL for advanced data analysis and visualization
Nice to Have
Nice to have:• Direct people management experience• Ability to effectively communicate technical information through presentation and through the preparation of technical documentation and/or manuscripts• Strong track record in building machine learning models using real-world large datasets, that work in production with positive outcomes • Prior experience with Spark and the AWS stack• Experience with Tensorflow or H20.AI frameworks• Proficient in relational database management systems with knowledge of non-relational database systems• Background in healthcare & diabetes physiology• Experience in a regulated industry and exposure to regulatory submissions. Understanding of FDA regulations including (ISO) 13485• Ability to read, analyze, and interpret common scientific and technical journals

18000H0E