Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company's patient-centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit
Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization.
Brief Team/department Description
Azurity Pharmaceuticals is seeking a talented Senior Data Scientist with a strong statistical modeling and software engineering skillset to join our Enterprise Data & Analytics team. This role will be instrumental in supporting our production grade Commercial Sales & Marketing analytics initiatives, including opportunities to contribute to the development of high-impact machine learning initiatives. This role will particularly focus on the areas of omnichannel marketing campaigns, audience segmentation, measurement dashboard backend development, and bespoke commercial impact analyses.
We are looking for someone who is deeply curious, possesses an excellent work ethic, and is keen on contributing to improving the lives of underserved patients.
Principle Responsibilities
This role involves the following key responsibilities:
* Serve as an internal technical consultant on statistical modeling techniques and execute projects spanning our Commercial analytics and ML initiatives.
* Assess, clean, and analyze large structured and/or unstructured datasets.
* Promote and adhere to data science and software engineering best practices, including version control, code reviews, and documentation.
* Work closely with data engineers, front-end engineers, and other technical colleagues to integrate data-driven insights into Marketing strategies and products.
* Design, implement, and maintain journey assignments for marketing campaigns, ensuring best practices including randomized and unbiased processes.
* Develop and deliver bespoke measurement analyses for omnichannel marketing campaigns.
* Contribute to high-impact ML and AI initiatives aimed at optimizing marketing efforts.
* Manage the post-ETL processes of our Next-Best-Action recommendation system, ensuring alignment with business objectives.
* Provide essential support for new brand integrations and implement updates to align with strategic business imperatives.
Qualifications And Education Requirements
* D. in Computer Science, Statistics, or a related STEM discipline with 0+ years of relevant professional industry experience, or a Master's degree in Data Science, Computer Science, Statistics, or a related STEM discipline with 3+ years of relevant professional industry experience.
* Strong proficiency in Python and SQL, with an emphasis on Python ML libraries such as Pandas, Numpy, Scikit-Learn, and PyTorch.
* Solid foundation in statistics and mathematics, including techniques such as A/B testing design and causal inference (prospective and retrospective) with experimental and observational data.
* Knowledge of software engineering best practices including version control (Git), Docker and documentation, and familiarity with Agile/Scrum methodologies.
* Strong analytical and problem-solving skills, with an ability to derive insights from data.
* Excellent communication skills, with an ability to liaise with both technical and non-technical stakeholders.
* Experience in marketing or commercial analytics, particularly within the pharmaceutical industry, is highly desirable.