Sr Data Scientist and Machine Learning Engineer

Careers that Change Lives

Medtronic is the world’s premier medical company, delivering solutions that benefit patients around the globe. Medtronic’s Mission is to Restore Health, Alleviate Pain and Extend Life. Medtronic Tempe Campus (MTC), is looking for a Senior Data Scientist/Machine Learning Engineer to expand Medtronic’s suite of internal predictive data analytics systems that improve our semiconductor operations performance and product quality.

A Day in the Life

In this position you will design and develop predictive data model and algorithm to improve Operations performance and product quality. The data scientist/machine learning engineer is expected to play an active role in working with manufacturing engineers, software engineers, product engineers, quality, and customers to deliver high quality system applications to improve production efficiency and quality.

Responsibilities may include, but are not limited to:

• Collaborate with process/product engineers and stakeholders throughout the organization to understand business needs and identify opportunities for leveraging company data to drive business solutions
• Develop data science applications for visual inspection, anomaly detection, predictive maintenance, root cause analysis etc. using computer vision, machine learning and deep learning
• Research and develop novel statistical approaches and machine learning/deep learning models which add values to manufacturing process and product performance improvement
• Assess the effectiveness and accuracy of data sources and data gathering techniques
• Develop custom data models and algorithms to apply to the data sets
• Perform full data model and algorithm development cycle: modeling, training, tuning, validating, deploying and maintaining services
• Perform complex data integration and transformation in database
• Deliver automated BI report/dashboard to engineering team for large volume data visualization and statistical analysis, such as trending, correlation etc.
• Provide system validation and documentation
• Leads all data experiments tasked and projects for the Data Analytics team
• Coordinate with different functional teams to implement models and monitor outcomes.

Software knowledge and experience needed in this role includes:

• Knowledge and experience in machine learning, deep learning and statistical modeling end to end development cycle
• Knowledge and experience in ML/DL framework such as Keras, TensorFlow or Pytorch for computer vision application development
• Experience in research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Strong programming skills in Python and R and experienced with python libraries such as OpenCV, scikit-learn, numpy and pandas for image analysis, time series, feature engineering, regression and classification problems
• Data integration development to include Extract, Transfer, and Load using SQL programming for Oracle and MS SQL databases
• Predictive data analytics and reporting using SQL and BI software (such as Spotfire, Tableau or Power BI)
• Programming knowledge and experiences with C#, Java, Javascript
• Experience using web services such as WCF, Rest, Spark
• Software quality practices and software development life cycle (SDLC)
• Previous experience in semiconductor manufacturing/testing is preferred