Data Science Senior Manager, Measurement

Responsibilities:

• Develop state of the art causal learning, deep learning, and predictive techniques to help the organization understand the performance of omnichannel campaigns and optimize spend.
• Run regular A/B experiments and perform statistical analyses to measure the effects of these experiments.
• Work with other data scientists, engineers, and product partners to develop new machine learning approaches, and measurement strategies.
• Manage and guide data science and data engineering elements of AI/ML projects related to revenue prediction and optimization across commercial and marketing channels (TV, mail, email, web, social, mobile, digital, etc.).
• Collaborate within cross-functional teams to develop efficient measurement use cases (such as revenue simulation (what-if scenarios)) and define goals and deliverables.
• Leverage forecasting and simulation-based modeling approaches to provide optimization recommendations of marketing and business plans.
• Conduct advanced analysis on various marketing efforts to gauge performance, impact, and effectiveness against the desired results.
• Drive the development, deployment, and industrialization of enterprise-level Measurement algorithms to make business impact from structured and unstructured data for our brands and the different therapeutic areas.
• Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects in relation to business impact measurement: revenue optimization, marketing mix, forecasting, campaign and tactic testing, etc.

Requirements:

• We are looking for a seasoned leader and data scientist with an extensive track record in designing, developing, and evaluating ML models which focus on optimization of marketing strategies and tactics, customer journey and perceptions within campaigns, and revenue impact. 
• As a Data Science Senior Manager - Measurement, you: Are energized to work collaboratively with partners and stakeholders across the business to apply, innovate, and deploy machine learning algorithms and data science methods for new measurement.
• Will inform and empower Commercial and Medical stakeholders in marketing, finance, strategy teams, and the field to make data-driven decisions for patient benefit.
• Drive to optimize investments and activities so that our client can create ever-improving, integrated customer experiences across brands and channels.
• Deliver these benefits using robust and consistent methods that you have embedded in analytics products that can evolve and improve over time.