Senior Data Scientist, Commercial Analytics
Astellas

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas!

Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com.

This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply.

Purpose:

The Senior Data Scientist, Commercial Analytics plays a critical role in providing valuable strategic business insight and actionable recommendations to Marketing and various internal functions to support achievement of overall portfolio and brand objectives.

This hand-on position is responsible for developing and executing advanced analytics frameworks and methodologies as part of the Astellas global commercial analytics capability, in addition to providing sound counseling and objective interpretation of data to the commercial organization.

This role will require close collaboration with Commercial Insights (CI) counterparts, when appropriate, to ensure global alignment and consistency.

Essential Job Responsibilities:

• Contribute to the development of data science methodologies, frameworks and best practices across customer/stakeholder archetypes.
• Develop and implement advanced analytics models and mentor others on the use and application of those modeling techniques.
• Support brand-related strategies, opportunity discovery and investment decisions with advanced analytics (examples include Customer Segmentation, Patient Adherence Analysis, HCP Network Analysis, etc.); inform global, regional and local brand related decisions
• Implement marketing performance measurement processes such as Marketing Mix Optimization, brand tactics / campaign assessment ROI, etc.
• Contribute to analytical capability innovation through new methodologies/analytic techniques and in alignment with commercial data strategy.
• Standardize analytic processes to continuously monitor and measure performance across brands and markets.
• Collaborate with other operational stakeholders to define, develop and maintain business rules in alignment with internal policies and business needs.
• Develop, define and lead prioritized ad hoc analysis as needed to support evolving business requirements and to provide timely business insights.
• Lead and manage projects to include efficient resource mobilization, vendor selection, definition of scope and requirements, and achievement of timelines, budgets & deliverables.
• Maintain proficiency among data systems, programs, and software resources, including Microsoft Access, Excel, Cognos, and QlikView, to ensure optimal and efficient achievement of department objectives.
• Develop comprehensive understanding of various data sources, including patient-level data, as well as their appropriate applications, to facilitate rigorous analytic process design and reliable business insights generation

Quantitative Dimensions:

• Project management within approved operating budget.
• Quality of strategic and operational support for up to assigned products or projects based on feedback from key partners and cross-functional colleagues including quality of the collaboration.
• Accuracy, timeliness, effectiveness, and ease of use of advanced analytics based on feedback from key customers and cross-functional colleagues.
• Ability to meet/exceed established key milestones related to assigned major projects.
• Quality/timeliness of insight generation and development of actionable recommendations based on feedback from key customers and cross-functional colleagues.

Organizational Context:

• Reports to Director, Advanced Analytics & Methodology
• This role is an individual contributor.