Data Scientist - Patient Level Data

Responsibilities:

- Partner with leaders from across the business to translate the company's business objectives, market opportunities & portfolio of offerings into a formal, cohesive global commercial strategy

- Apply a broad array of analytics skills including machine learning, statistics, text-mining/NLP, and modeling to extract insights from structured and unstructured data sources and complementary real-world & digital information streams to business challenges

- Developing and evolving core commercial models used across all analytics packages. Examples of the models will be: Multi-Channel Analytics, Patient Pathways, Omni-Channel Segmentation, Territory Design, Customer Targeting, Attribution Modeling, & Predictive Commercial Mix

- Design data test and learn experiments to drive personalized solutions across the customer journeys addressing key customer needs as well as enabling personalized experiences across each touch points through connective analytics

- Forward looking: Remain flexible towards technology approaches to ensure that the best advantage is being taken of new technologies. Keep abreast of industry developments in analytics and be able to interpret how these would impact services and present new opportunities.

- Collaborate across business to prototype, launch and Iterate analytics capabilities that quickly scale globally

- Lead the development and implementation measurement planning aligning to strategy

- Lead the collaborate with local and global teams to ensure data driven decisions are embedded into business process.

- Automate analytics models and simplify information management

- Consult with markets, regions, and leadership on defining the business questions to apply to be answered with analytic and then pulled through for measured value.

Qualifications

- Bachelor's degree in computer science or related field, with 5+ years of demonstrated experience in developing product-level ML algorithms, with a proven track record of successfully delivering applied research to production (8+ with Masters)

- Strong written and verbal communication skills

- Excellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modeling, data and text mining/NLP, or machine learning algorithms on structured and unstructured data, at scale

- Applied research experience in machine learning or deep learning or information retrieval or data analytics

- Develop insights and storylines through translation of analysis and modeling

- Build and deploy tools and methodologies to create solutions enabling analytics and measurement of sales and marketing activities (e.g., market-mix modeling, cross-channel attribution, omni-channel segmentation and customer targeting, patient pathways, omni-channel customer journey analysis and optimization etc.)

- Develop insights and storylines through translation of analysis and modeling

- End to end experience in retrieving data and developing an executive-level analysis through advanced analytics techniques

- Partner with leaders from across the business to translate the company's business objectives, market opportunities & portfolio of offerings into a formal, cohesive global commercial strategy

- Lead the development and implementation measurement planning aligning to strategy

- Lead the collaborate with local and global teams to ensure data driven decisions are embedded into business process.

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