As a Data Scientist, youll partner with cross-functional teams to tackle business challenges head-on using data-driven solutions. Your mission will be to design, develop, and deploy advanced AI and machine learning models, leveraging diverse healthcare datasets to uncover actionable insights and optimize business processes.

Accountabilities:
- Collaborate with the Commercial Data Science team to identify and leverage internal and external data for business solutions. - Support the design, development, and deployment of AI and machine learning models tailored to business needs. - Assist with large-scale projects using both online/offline, structured/unstructured, and set-top box data to build customer-centric models and optimization tools. - Maintain and update scalable analytical models for recurring analyses and future use cases. - Conduct analytics using HCP and de-identified patient-level healthcare data to generate disease insights and support lead generation. - Develop machine learning models to analyze influences and interactions throughout the patient healthcare journey. - Optimize existing and create new ML tools and models to improve patient finding and HCP identification processes. - Apply predictive modeling to enhance customer experience, targeting, and other business outcomes. - Collaborate with Commercial teams and the AI community to develop best practices and cross-functional, value-driving opportunities. - Support ad hoc analyses and production operations as needed.

Essential Skills/Experience:
- BS/MS in a quantitative discipline such as Computer Science, Data Science, Engineering, Information Systems, or Economics, with solid foundation in statistical analysis and modeling. - At least 5 years experience in statistical and predictive modeling, ideally within consulting, healthcare, or biopharmaceutical industries. - Excellent communication skills and the ability to convey complex findings to technical and non-technical audiences. - Deep experience with analytic tools and languages, such as Python, Dataiku, Databricks, Qlik, and Power BI; strong familiarity with machine learning and AI methods. - Proven skills in building and extracting insights from statistical models (e.g., linear regression, clustering, random forest, time series, and neural networks). - Hands-on experience working with EHR, administrative claims, and laboratory data (such as Prognos, IQVIA, Komodo, or Symphony claims data). - Technical knowledge of database structures, query languages, structured programming, and large dataset querying using ANSI SQL; experience with relational databases. - Role is primarily office-based and requires use of a computer, communication via phone/video/messaging, problem-solving, collaboration, and general availability during standard business hours, with or without accommodations.

Desirable Skills/Experience:
- Ability to analyze and visualize data using modern data visualization techniques.

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Data Scientist