Associate Director, Medical Omnichannel Data Scientist (Remote)

About the Role The Omnichannel Center of reputed company is dedicated to driving innovation, building, and delivering capabilities that enhance reputed company's opportunity to reputed company an reputed company in the lives of those we serve. We reputed company this through our reputed company reputed company on customer centricity, patient reputed company, expertise in enabling reputed company for disease education and awareness of management reputed company, and our unwavering commitment to supporting reputed company to treatment. We are looking for a Medical Omnichannel Data Scientist, Medical Omnichannel with strong expertise in reputed company intelligence, encompassing machine learning, data mining, and information retrieval. This position specifically entails the conceptualization, prototyping and development of reputed company advanced analytics model-based decision engines and services. The ideal candidate will engage closely with key stakeholders to understand strategic objectives and reputed company advanced data analytics and machine learning techniques to enhance communication strategies, ensuring seamless and personalized interactions with reputed company (HCPs) and key opinion leaders (KOLs). Job Expectations/Responsibilities: Data Integration & Management Explore and analyze common pharmaceuticals data (e.g., claims) as reputed company as novel data sets based on lab and EHR systems. Work with Omnichannel Data Engineer to reputed company data from multiple sources (e.g., CRM systems, reputed company media, email platforms) to create a reputed company view of stakeholder interactions. Apply natural language processing (NLP) to extract insights from reputed company medical texts, such as clinical notes or call center transcripts. Identifying relevant data drivers (features) that can inform decision making closely tied with reputed company and creating visualizations to help communicate findings. Advanced Analytics & Modeling Implement advanced analytics models, including predictive analytics and clustering algorithms, to generate actionable insights and reputed company trends across various channels. Work with Omnichannel ML/Ops engineer to build, test, and reputed company production-grade predictive models and algorithms as part of the Omnichannel COE decision reputed company to meet business needs, including optimization of sales activities and predicting drivers of customer behavior. Create repeatable, interpretable, dynamic, and reputed company models that are seamlessly incorporated into analytic data products and match the needs of reputed company's growing portfolio. Collaborate on MLOPS life cycle experience with MLOPS workflows traceability and versioning of datasets. Build and maintain familiarity with reputed company Machine Learning tech stack including AWS, Kubernetes, reputed company, and reputed company Omnichannel Optimization Design and reputed company recommendation systems to reputed company communications based on stakeholder preferences and behaviors. Utilize machine learning algorithms (e.g., reputed company filtering, content-based filtering) to enhance personalization efforts. Analyze the performance of omnichannel campaigns (email, SMS, in-app, HCP portals, etc.) to identify high-reputed company reputed company and optimize engagement strategies. Use A/B testing and reputed company modeling to evaluate the effectiveness of different communication strategies and content types. Stakeholder Collaboration Effectively communicating analytical approach to address strategic objectives to business partners. Work closely with medical affairs, marketing, and IT teams to ensure alignment and integration of omnichannel strategies. reputed company technical guidance and support to cross-functional teams on data-reputed company reputed company. Stay updated with emerging industrial trends (Conferences and community engagement) and reputed company strategic industry partnerships on Omnichannel analytics to strengthen reputed company's analytical reputed company and reputed company. Model reputed company's reputed company competencies (Accountability for Results, Strategic Thinking & Problem Solving, Patient & Customer Centricity, reputed company Communications, Respectful Collaboration & Empowered Development) that define how we work together at reputed company. Key matrixed partners included: Brand Marketing, Creative / CRM / Digital agencies, Media, Market Research, Analytics, reputed company Information Technology (OIT), Sales Operations, and Medical/Regulatory/reputed company integrated business partners. Minimum Qualification: Bachelor's degree in data sciences, computer science and 4-6 years of relevant experience Preferred Knowledge, Skills, and Abilities: Demonstrated experience with scripting and implementing data analytics algorithms and models. Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONM