Data Scientist II — Advanced Analytics & AI Solutions

Novo Nordisk; Plainsboro Township (NJ); On-site; USD 99,000 - 141,000; Full time

Job summary

Novo Nordisk seeks a Senior Data Scientist to join the Enterprise Data & Advanced Analytics team in Finance & Operations, delivering AI solutions for commercial stakeholders. You will apply statistical methods and ML to support Next Best Engagement, omni-channel strategies, and claim integrity analytics using internal and external datasets.

You will mentor junior data scientists, work with IT and external partners, and present findings to senior leaders.

Qualifications

• Bachelor's degree in Math, Statistics, Data Science, Computer Science, or related field; MS or MBA preferred.
• 5+ years relevant experience in data science, ROI analytics, business analytics, or related areas; pharma experience preferred.
• Experience deploying production advanced analytics and ML solutions, including NBE, targeting and analytics.
• Proficient in Python, R, SQL, SAS; ability to learn new techniques.
• Experience with IQVIA datasets and industry sources (Xponent Plantrak, LAAD, Experian, Veeva, MMIT).

Responsibilities

• Define advanced analytics opportunities and deliver production-grade models.
• Design causal measurement frameworks to quantify impact of NBE and interventions.
• Collaborate with internal and external partners to deliver analytics solutions.
• Lead data pipelines, dashboards, and monitoring for ongoing insights.
• Provide technical guidance and mentorship to junior data scientists.

Skills

Data science

Analytics

Communication

Education

Bachelor's degree in Math, Statistics, Data Science, CS

MS or MBA preferred

Tools

Python

R

SQL

SAS

Git

Job description

Novo Nordisk seeks a Senior Data Scientist to join the Enterprise Data & Advanced Analytics team in Finance & Operations, delivering AI solutions for commercial stakeholders. You will apply statistical methods and ML to support Next Best Engagement, omni-channel strategies, and claim integrity analytics using internal and external datasets.

You will mentor junior data scientists, work with IT and external partners, and present findings to senior leaders.