Senior Data Scientist

• Collect, clean, and run large datasets related to product performance and patient complaints
• Ensure data integrity, accuracy, and accessibility for further analysis
• Develop and maintain databases and data systems for storing patient complaints and product feedback
• Analyze data to identify patterns, trends, and correlations in patient complaints and product issues
• Use advanced statistical methods and machine learning techniques to uncover insights and root causes
• Develop analytics or predictive models to foresee potential product issues and patient concerns to address customer needs and opportunities
• Prepare comprehensive reports and visualizations to communicate findings to collaborators
• Present insights and recommendations to multi-functional teams, including product development, quality assurance, and customer service
• Collaborate with regulatory and compliance teams to ensure consistency to healthcare standards and regulations
• See opportunities for product enhancements and process improvements based on data analysis
• Work with product complaint teams to implement changes and monitor their impact
• Stay abreast of industry trends, emerging technologies, and standard methodologies in data science and healthcare analytics
• Evaluate data to support product complaints
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
• Perform exploratory and targeted data analyses using descriptive statistics and other methods
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes

• Master’s / Bachelor’s degree in Data Science, Statistics, Computer Science, Biomedical Engineering, or a related field and 8 to 12 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, Python)
• Experience with data visualization tools like Square Two (S2), Spotfire, BioConnect, Tableau, Power BI, Smartsheet, or similar
• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
• Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
• Experience in analyzing time-series data for forecasting and trend analysis
• Experience with Data Bricks platform for data analytics
• Experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements
• Fluency in verbal and written English to be able to understand & articulate technical concepts

Any Python, SA, Salesforce or SQL certification (preferred)

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards