Senior Manager, Data Science (Marketing)

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BioLife 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 BioLife, 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.

BioLife 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 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 BI, Tableau, or other data visualization software. Strong foundation in statistical techniques for quantifying the impact of marketing activities.

Proven data analysis background with the ability to transform analysis into insights, recommendations, and proposals for senior management. Strong at both structured and unstructured problem solving.

Manage and/or partner on projects with vendors and consultants.

Bachelor’s and/or master’s degree in any area of social science, business, marketing, advertising, or a closely related field. ~ Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, gathering requirements, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions. ~7+ years of experience in advanced analytics and statistical modeling in the areas of business performance analysis, forecasting, promotion and media effectiveness and optimization, and consumer behavior ~ Experience with survival analysis (time-to-event, duration, event history analysis, etc.) Knowledge of CRM systems and marketing automation tools a plus.

Domestic travel required (up to 10%).

The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

S. based employees may be eligible for short-term and/or long-term incentives. S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Full time