Associate Director, Omnichannel Data Scientist (Hybrid)

About Otsuka

We defy limitation, so that others can too. In going above and beyond—under any circumstances—for patients, families, providers, and for each other. It’s this deep-rooted dedication that drives us to uncover answers to complex, underserved medical needs, so that patients can push past the limitations of their disease and achieve more than they thought was possible each and every day.

About the Role

The Omnichannel Center of Excellence (CoE) is dedicated to driving innovation, building and delivering capabilities that enhance Otsuka’s opportunity make an impact in the lives of those we serve.  We achieve this through our relentless focus on customer centricity, patient empathy, expertise in enabling pathways for disease education and awareness of management options, and our unwavering commitment to supporting access to treatment.

We are seeking a highly motivated and skilled Omnichannel Data Scientist to join our growing team who can craft data driven solutions using advanced AI/ML modeling that can be implemented operationally and are specifically able to address the strategic needs of our organization. The ideal candidate will engage closely with key stakeholders to understand business strategic objectives and determine how data and AI/ML can be leveraged to achieve those goals. The role will involve leading the framing of business problems correctly and selection, development and interpretation of the best suited AI/ML models in collaboration with our data engineer and ML/Ops engineer and crafting solutions for these strategic challenges that can be implemented operationally in a manner as to optimize omnichannel marketing campaigns.  You will report to the Sr Director, Omnichannel Advanced Analytics Lead.

This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business:

Job Expectations/Responsibilities:

• Collaborate with cross-functional business partners and brand Omnichannel leads to understand business needs and develop novel ways to meet objectives utilizing cutting-edge tools by –
• Identifying relevant data drivers (features) that can inform decision making closely tied with brand strategy and creating visualizations to help communicate findings.
• Selecting the most appropriate statistical techniques and machine learning algorithms for use cases and ensure accuracy, performance, and relevance of models. Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products and match the needs of Otsuka's growing portfolio.
• Ensure that these techniques can help to optimize omnichannel marketing campaigns across various channels and partner with the orchestration team to help understand customer behavior and interactions across different touchpoints so as to identify opportunities for personalized and targeted measuring
• Effectively communicating analytical approach to address strategic objectives to business partners.
• Partnering with end-to-end with business process owners, technical solution owners, engineers, and analysts to understand requirements, design prototypes and bring ideas to production.
• Work with the measurement analytics team in helping build and validate attribution models that enable them to measure effectiveness of different marketing channel and help optimize budget across the omnichannel strategy
• Work with Omnichannel ML/Ops engineer to build, test, and deploy production-grade predictive models and algorithms as part of the Omnichannel COE decision engine to meet business needs, including optimization of sales activities and predicting drivers of customer behavior.
• Collaborate, coach, and learn with a growing Omnichannel Analytics team, identifying and developing long-term processes, frameworks, tools, methods, and standards.
• Collaborate on MLOPS life cycle experience with MLOPS workflows traceability and versioning of datasets. Build and maintain familiarity with Otsuka Machine Learning tech stack including AWS, Kubernetes, Snowflake, and Dataiku
• Stay updated with emerging industrial trends (Conferences and community engagement) and develop strategic industry partnerships on Omnichannel analytics to strengthen Otsuka's analytical methods and outcomes.
• Ability to Explore and analyze common pharmaceuticals data (e.g., claims) as well as novel data sets based on lab and EHR systems. Work with the Omnichannel Data Engineer to ensure that data is properly managed, governed, and secured, following industry best practices and regulatory requirements.
• Model Otsuka's core competencies (Accountability for Results, Strategic Thinking & Problem Solving, Patient & Customer Centricity, Impact Communicat