Associate Director, Omnichannel Data Scientist (Hybrid)

Otsuka Pharmaceutical Company is a global healthcare company with the corporate philosophy: "Otsuka-people creating new products for better health worldwide." Otsuka researches, develops, manufactures and markets innovative products, with a focus on pharmaceutical products to meet unmet medical needs and nutraceutical products for the maintenance of everyday health.

The Omnichannel Center of Excellence is dedicated to driving innovation, building, and delivering capabilities that enhance Otsuka's opportunity to 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 looking for an Omnichannel Data Scientist with strong expertise in artificial intelligence, encompassing machine learning, data mining, and information retrieval. This position specifically entails the conceptualization, prototyping and development of next generation advanced analytics model-based decision engines and services. 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. You will report to the Sr Director, Omnichannel Advanced Analytics Lead.

This position is based in Princeton, New Jersey. Otsuka maintains a hybrid work policy.

Job Expectations/Responsibilities:

• 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.

• 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.

• 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 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.

• Model Otsuka's core competencies (Accountability for Results, Strategic Thinking & Problem Solving, Patient & Customer Centricity, Impact Communications, Respectful Collaboration & Empowered Development) that define how we work together at Otsuka. Key matrixed partners included: Brand Marketing, Creative / CRM / Digital agencies, Media, Market Research, Analytics, Otsuka Information Technology (OIT), Sales Operations, and Medical/Regulatory/Legal integrated business partners.

Minimum Qualification:

• Bachelor's degree in data sciences, computer science and 4+ years of 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, NONMEM, SAS, S-Plus, etc.)

• Knowledge/Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets

• Excellent interpersonal, technical, and communication skills to lead cross-functional teams.

• Profound grasp of Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.

• Have implemented machine learning projects from initiation through completion with particular focus on automated deployment and ensuring optimized performance.

• Agile skills and experience

• Experience in Healthcare (esp. US) industry

Our Benefits:

#LI-Hybrid

Competencies
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.
Impactful Communication -Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals.
Empowered Development - Play an active role in professional development as a business imperative.

Come discover more about Otsuka and our benefit offerings; https://www.otsuka-us.com/careers-join-otsuka.

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