Working with senior analytics technical leaders, you will develop tools and processes to transform data into insights with subject matter experts from cross-functional teams. Using data cleaning best practices, aggregation, and joining large datasets, you will leverage cloud technologies to build analytics reporting for a comprehensive view of product to patient. You will gain detailed knowledge of multiple facets of business operation, and collaborate with other Data Scientists in the Analytics COE to support cross-functional efforts spanning R&D, clinical, medical affairs, quality, and global manufacturing among others. We are a fast-growing company that provides an energetic work environment and tremendous career growth opportunities.

• Collaborate with IT and cross-functional teams to identify and acquire data sources, refine and prepare data through ingestion, cleanup, and pre-processing scripts with an emphasis on dashboard creation using Power BI.
• Design and develop interactive, user-friendly dashboards within Power BI to visualize and explore data patterns, enabling stakeholders to derive actionable insights.
• Conduct in-depth data exploration using a combination of existing data science tools and bespoke algorithms to understand underlying patterns.
• Perform rigorous statistical analysis and predictive modeling to support decision-making processes, and generate automated reports for ongoing monitoring.
• Play an integral role in the software validation and verification process as well as the Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ) efforts.
• Effectively communicate analytical findings and strategic implications to a diverse audience, ensuring a clear connection between data results and business goals.

Education and Experience:

• A Bachelor's or Master's degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field is required.
• 2-4 years of work experience in machine learning, artificial intelligence, or statistical inferences with a strong emphasis on data visualization and dashboard creation, particularly using Power BI.
• Experience within manufacturing, medical device, and/or healthcare industries is a strong advantage.
• Practical experience in developing and deploying interactive dashboards for business intelligence using Power BI is highly desirable.

Skills/Competencies:

• Goal-driven mentality with a focus on delivering insightful dashboards that inform decision-making.
• Proficiency in Power BI, including data modeling, report creation, and sharing insights.
• Experience with one or more analytic software tools, such as Python, R, Matlab, or PySpark. - Nice to Have
• Demonstrated proficiency in SQL and familiarity with one or more relational databases, such as Oracle, Teradata, Microsoft SQL Server, etc.
• Experience working with MongoDB or analyzing data from non-relational sources is beneficial.
• Demonstrated knowledge of software engineering principles and practices with an understanding of data visualization best practices.
• Independent work skills without the need for detailed guidance, paired with a capacity for effective communication with leaders and stakeholders.
• Ability to clearly communicate, both verbally and through documentation, the objectives and procedures related to Power BI dashboard development and deployment.