Data Scientist

Description
Who is USP?
The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide.

At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity, Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare.

USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work—an environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.

Brief Job Overview
The Digital & Innovation group at USP is seeking a Data Scientist with skills in advanced analytics (predictive modeling, machine learning, natural language processing) and data visualization to work on projects that drive innovations and deliver digital solutions. We are seeking someone who understands the power of data and enjoys communicating the insights and help create an unified experience across our ecosystem.

How will YOU create impact here at USP?
In this role at USP, you contribute to USP's public health mission of increasing equitable access to high-quality, safe medicine and improving global health through public standards and related programs. In addition, as part of our commitment to our employees, Global, People, and Culture, in partnership with the Equity Office, regularly invests in the professional development of all people managers. This includes training in inclusive management styles and other competencies necessary to ensure engaged and productive work environments.

• Use exploratory data analysis to spot anomalies, understand patterns, test hypotheses, or check assumptions.
• Apply various ML techniques to perform classification or regression tasks to drive business impact and address identified needs in an agile manner.
• Use natural language processing techniques to extract information and improve business workflows.
• Interpret and communicate results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.
• Collaborate with other data scientists, data engineers, and IT team to help ensure project delivery and success.

Who is USP Looking For?
Education
The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience:

Bachelor's degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience.

Experience
Data Scientist: 3 – 6 years
of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing

Senior Data Scientist:
6 - 10 years
of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing

• Technical proficiency in the following: python/packages: pandas, numpy, regex, scikit-learn, xgboost, and visualization packages (such as matplotlib, seaborn); SQL
• Proficiency in CNN/ RNN models.
• Proficiency in using GenAI concepts with graph data.
• Experience with data extraction and scraping.
• Experience with XML documents and DOM model.

Additional Desired Preferences

• Master's degree (Information Systems Management, Analytics, Data Engineering, Sciences, or other Quantitative program)
• Experience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciences
• Experience with pharmaceutical / IQVIA datasets and nomenclature
• Experience translating stakeholder needs into technical project outputs
• Experience working with knowledge graphs in conjunction with RAG patterns and Chunking methodologies.
• Ability to explain complex technical issues to a non-technical audience
• Self-directed and able to handle multiple concurrent projects and prioritize tasks independently
• Able to make tough decisions when trade-offs are required to deliver results
• Strong communication skills required: Verbal, written, and interpersonal

Supervisory Responsibilities
This is non-supervisory position

Benefits
USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected.

Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.

Job Category
Information Technology

Job Type
Full-Time