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Senior Manager, Data Science; Marketing
Job in
Vernon Hills, Lake County, Illinois, 60061, USA
Listed on 2026-03-12
Listing for:
Biolife Plasma Services
Full Time
position Listed on 2026-03-12
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge.
Bio Life Plasma Services, a subsidiary of Takeda Pharmaceutical Company Limited, is an industry leader in the collection of high-quality plasma, which is processed into life-saving plasma-based therapies. Some diseases can only be treated with medicines made with plasma. Our employees are dedicated to enhancing the quality of life for patients and ensuring that the donation process is safe, straightforward, and rewarding for donors who wish to make a positive impact.
When you work at Bio Life, you’ll feel good knowing that what we do helps improve the lives of patients with rare diseases. This position is currently classified as “hybrid” in accordance with Takeda’s Hybrid and Remote Work policy.
Bio Life Plasma Services is a subsidiary of Takeda Pharmaceutical Company Ltd.
Manager of Marketing Science drives and executes strategic initiatives that improve our marketing data and analytics capabilities. This role will leverage advanced analytics techniques and data-driven insights to inform marketing strategies, optimize campaigns, and drive business growth. This role requires a deep understanding of paid, owned, and earned media measurement, strong analytics and insights skills, broad knowledge of marketing technologies, and the ability to communicate complex data insights to senior stakeholders.
Lead marketing science initiatives in the development and execution of advanced analytics to support marketing strategies and goals.
Provide thought leadership on marketing measurement techniques, including the trade-offs between controlled experiments, natural experiments, and multivariate statistical models for different situations.
Marketing Science
Deep understanding and experience with creating and managing marketing attribution solutions, i.e., Ability to build/maintain in-house solutions and/or work with outside partners as necessary.
Identify and maintain marketing analytics key performance indicators (KPIs) to track and measure performance.
Partner with data scientists, IT, and consultants to develop advanced analytical models and dashboards related to marketing.
Familiarity with AI/ML applications in marketing.
Reporting and Data Management
Ensure the accurate and timely delivery of marketing performance reports and insights.
Able to translate data into contextualized insights that can be shared across the business
Know digital media terminology and concepts (e.g., Demand Side Platforms (DSPs), effectiveness vs. efficiency, SEO/SEM, etc.)
Leverage existing experience with Google Analytics and Google Tag Manager
Partner with the Data, Digital, and Technology (DD&T) Team to ensure marketing data accuracy, integration, and integrity, and that good data governance practices are in place.
Develop solutions (dashboards, data visualizations, reports) for real-time operations performance assessment and agile decision-making.
Design and automate regular data extracts needed by marketing and other partners.
Extensive experience across many areas of marketing science; MMM, MTA, Loyalty, Website, Surveys, Paid/Owned/Earned Media.
Experience with SQL, Python, and R for data analysis and model development.
Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), and other AI/ML techniques; and forecasting/sensitivity analysis.
Comfortable working daily in cloud-based data platforms.
Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting.
Experience working with Power…
Position Requirements
10+ Years
work experience
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