Lead Data Scientist, Digital Products

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With a core value of Passion for Quality, over 1,300 professionals across twenty global locations work towards strengthening the supply of safe, quality medicines worldwide. USP values inclusivity and fosters a culture of mentorship and professional growth. The organization emphasizes Diversity, Equity, Inclusion, and Belonging in all aspects to build a world where quality healthcare is accessible to everyone. As part of the Digital & Innovation group at USP, we are seeking a Data Scientist proficient in advanced analytics, machine learning, and data visualization. The role involves working on projects that drive innovations and deliver digital solutions, aiming to create a unified experience within our ecosystem. Your impact at USP involves contributing to the public health mission, increasing access to high-quality medicine, and improving global health through public standards and programs. Additionally, investment in the professional development of all people managers ensures engaged and productive work environments. Key Responsibilities: - Conduct exploratory data analysis to identify anomalies, understand patterns, and test hypotheses. - Utilize machine learning techniques for classification and regression tasks to address business needs. - Apply natural language processing techniques to extract information and enhance business workflows. - Interpret and communicate results clearly to diverse audiences. - Collaborate with data scientists, data engineers, and the IT team to ensure project success. Qualifications: - Bachelor's degree in a relevant field or equivalent experience. - 5-7 years of experience for Senior Data Scientist, 8-10 years for Lead Data Scientist. - Proficiency in Python, SQL, and visualization packages. - Experience with CNN/RNN models, data extraction, and scraping. - Additional preferences include a master's degree, experience in life sciences or chemistry, and proficiency in GenAI concepts. Benefits at USP include comprehensive healthcare options, retirement savings, and company-paid time off. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Category: Information Technology Job Type: Full-Time,