Senior Analytics Leader: Omnichannel & NBA for Pharma
Tiger Analytics
New Jersey
On-site
USD 120,000 - 160,000
Full time
14 days+
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Benefits offered by this job
Career development opportunities
Entrepreneurial environment
Job summary
A prominent analytics consulting firm located in New Jersey is seeking a seasoned analytics leader. This individual will drive data science initiatives focusing on the commercial pharmaceutical sector, developing Next Best Action frameworks and omnichannel engagement strategies. Candidates should possess 10–15+ years of experience, with strong capabilities in data science and analytics. This role demands proficiency in Python, R, SQL, and familiarity with cloud platforms. The position offers career development opportunities in a fast-growing environment.
Qualifications
10–15+ years of experience in Data Science and Advanced Analytics, focusing on commercial pharma.
Experience with Next Best Action models and omnichannel engagement.
Proficient in Python, R, SQL, and related machine learning frameworks.
Responsibilities
Lead delivery of data science and analytics solutions in pharma.
Design and implement NBA models for customer engagement.
Develop omnichannel frameworks and analyze data from various sources.
Collaborate with business stakeholders to formulate analytical solutions.
Skills
Data Science
Machine Learning
Advanced Analytics
Customer Engagement
Python
R
SQL
Stakeholder Management
Tools
AWS
Azure
GCP
Veeva
scikit-learn
TensorFlow
Job description
A prominent analytics consulting firm located in New Jersey is seeking a seasoned analytics leader. This individual will drive data science initiatives focusing on the commercial pharmaceutical sector, developing Next Best Action frameworks and omnichannel engagement strategies. Candidates should possess 10–15+ years of experience, with strong capabilities in data science and analytics. This role demands proficiency in Python, R, SQL, and familiarity with cloud platforms. The position offers career development opportunities in a fast-growing environment.