The U.S. Pharmacopeial Convention (USP) Senior Data Scientist (Hybrid/Remote) in Serilingampally Mandal, Ranga Reddy District, India
Who is USP?
The U.S. Pharmacopeial Convention (USP) 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 1,100 hardworking professionals across five global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide.
Brief Job Overview
The Strategy, Pricing, and Analytics group at USP is seeking a Senior Data Scientist with skills in advanced analytics (predictive modeling, machine learning, natural language processing) and data visualization to work on projects that are integral to our mission to help protect patient safety and improve the health of people around the world.
We are seeking someone who understands the power of data and enjoys communicating the insights and actions derived from the data and modeling.
How will YOU create impact here at USP?
You will use data and analytical skills to fuel strategic and business initiatives. Working within strategy and regional program operations you will perform deep analysis of data and build machine learning models to support the most critical strategic initiatives.
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.
Develop and define data science workflows that would be appropriate for projects and the team
Partner with internal stakeholders to identify opportunities where machine learning can add value.
Collaborate with other data scientists, data engineers, and IT team to help ensure project delivery and success.
Present Insights and Data Model results to business and scientific stakeholders within USP.
Who USP is Looking For?
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. Information Systems Management, IT Project Management, Analytics or Data Science, Science, Mathematics, Computer Science, Business) or equivalent experience.
At least 4 years of hands-on experience in data science or data analytics, with minimum of 2 years of experience in any of the following (machine learning, statistics, natural language processing or similar).
Technical proficiency in the following; python/packages such as: pandas, numpy, regex, scikit-learn, xgboost, and visualization packages (such as matplotlib, seaborn, or plotly); SQL
Experience with data extraction and scraping.
Additional Desired Preferences
Preferred 5 years of hands on machine learning, statistics, natural language processing, or similar experience).
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
Master's degree (Information Systems Management, Analytics, Data Engineering, Sciences, or other Quantitative program)
Experience translating stakeholder needs into technical project outputs
Advanced technical proficiency in the following:
Data Tools: SQL, Alteryx or other data wrangling tools
Data Visualization/ Analytics: Tableau or any similar tools such as Power BI, Cognos, OBIEE, Qlik, etc.
Experience working with knowledge graphs
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
Advanced technical proficiency in the following; python/packages: pandas, numpy, regex, scikit-learn, xgboost, and visualization packages (such as matplotlib, seaborn, or plotly);
Experience with XML documents and DOM model.
Advanced knowledge of regular expressions.
USP provides you with the benefits you need to protect yourself and your family today and tomorrow. From company-paid time off, comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial wellbeing is protected.
COVID-19 Vaccination Policy (will apply to the selected candidate(s) hired:
As a condition of employment with the United States Pharmacopeial Convention's (USP) duty to provide and maintain a workplace free of known hazards, all employees and contingent staff hired after July 1st, 2021, must be fully vaccinated unless a reasonable accommodation is approved. Your recruiter will advise accordingly.
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—from the standards we make to the partnerships and conversations we cultivate. An environment where every employee feels fully empowered and valued irrespective of, but not limited to, personality, 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.
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