Commercial Data Scientist

About CooperSurgical

CooperSurgical is a leading fertility and women's healthcare company dedicated to putting time on the side of women, babies, and families at the healthcare moments that matter most in life. CooperSurgical is at the forefront of delivering innovative assisted reproductive technology and genomic solutions that enhance the work of ART professionals to the benefit of families. We currently offer over 600 clinically relevant medical devices to women's healthcare providers, including testing and treatment options.

CooperSurgical is a wholly-owned subsidiary of CooperCompanies (Nasdaq: COO). CooperSurgical, headquartered in Trumbull, CT, produces and markets a wide array of products and services for use by women's health care clinicians. More information can be found at www.coopersurgical.com.

Job Summary:

As a Commercial Data Scientist, you will provide proactive insights to the sales team and commercial business teams within Paragard. The data scientist will collaborate with the IT team to create streamlined databases that can be leveraged for dataflows. The data scientist will use machine learning to run predictive and prescriptive models to provide insights into the drivers behind business performance, understanding ROI on new initiatives, as well as assisting in the AOP and quota setting processes. The data scientist will also be expected to build Power BI reports that provide actional insights into the business to help the field manage their business.  The data scientist will be responsible for contributing to the quarterly business review that is presented to sales leadership. The data scientist will have strong communication skills to articulate the findings of his work to both technical and non-technical audiences. The data scientist will also look for operational improvements within the business such as automating processes.

Essential Functions & Accountabilities:

• Incremental Lift Modeling: Run incremental lift analyses to understand the impact of new business initiatives such as promotional activities.
• Prescriptive Modeling: Run prescriptive models to understand drivers of business performance, such as sales rep behaviors that are associated with higher growth. 
• Predictive Modeling: Run predictive models to create accurate sales quotas and understand the seasonality of the business in terms of indexing of weekly, monthly, quarterly targets.
• Automation: Leverage Python to automate repetitive tasks and increase operational efficiency.
• Data Collection, Modeling and Management: Collect, analyze, and manage data from various sources (primarily the ERP and CRM but external as well) to support the organization's data-driven decision-making processes. 
• Data Analytics: Conceptualize, build, and maintain Data Models for ongoing reporting and analytics. In addition, interpret trends or patterns in complex data sets (both transactional and user-generated) to provide actionable intelligence.
• Reporting and Visualization: Create and maintain dashboards and reports to track KPIs, metrics, and business trends. Present findings and insights using data visualization tools such as Power BI. 
• Data Governance: Help maintain standardization in definitions and implementation of data strategies, policies, processes, and programs. Identify areas for automation, standardization, and scalability to support business growth objectives.
• Business Partnering: You will be the Analytics business partner, supporting monthly/quarterly business reviews which involve extensive data analysis and reporting. 
• Communication and Stakeholder Management: Responsible for effectively communicating the results of your analysis and providing recommendations to relevant stakeholders. This involves translating complex data into actionable insights.
• Strategic Decision Support: Provide analytical support to the Fertility Solutions commercial teams, on a global scale. This support includes both regular (periodic) reporting and responding to ad-hoc analytical needs.
• Global Reporting Platform: You are expected to contribute to the development and improvement of the global commercial reporting platform, which may involve enhancements to data visualization, reporting tools, or data infrastructure.
• Cross-Functional Collaboration: Provide Data and Analytics support to teams working on Incentives & Compensation, Customer Experience, and other Special projects. 

Travel: 

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