Job Information
Bausch Health Director, Data Science in Bridgewater, New Jersey
Bausch Health is a global company that develops, manufactures, and markets a differentiated product portfolio across multiple high-growth therapeutic areas including Gastroenterology, Generics, Neurology, Ortho Dermatologics, Medical Aesthetics and Dentistry. We are delivering on our commitments as we build an innovative company dedicated to advancing global health. Each day, Bausch Health products are used by over 150 million people around the world.
Our approximately 7,000 employees are united around our mission of improving people’s lives with our health care products.
The data science team within Commercial Data Science and Analytics will exist to help the Commercial Operations, Marketing and Sales organizations achieve their vision by unlocking value from data quicker and more effectively.
The Director, Data Science will lead the execution of this vision and report to the Executive Director of Data Science & Analytics. This incumbent will be responsible for development and deployment of recently launched AI-enable “Customer Insights Engine”. Customer Insights Engine generates optimal HCP call plan based on machine learning and optimization models that draw on key datasets (i.e., external data sources such as claims, affiliations, etc. and internal data sources such as CRM engagements).
Responsibilities
This position will be accountable for the data science analytics in partnership with the business team with a particular focus on field force call allocation and optimization
Collaborate effectively with cross-functional teams and internal clients such as Sales organization, Marketing Brand Directors, Customer Engagement teams and Senior Leadership to stay abreast of business trends, understand the business issues and develop relevant business intelligence and analytical solutions
Deep comprehension of internal customers' data and diagnostic needs focusing on the customer-facing model requirements. Facilitate model governance related to operational governance, business planning and future changes such as business rules, constraints and model objective
Lead and mentor a team of ML Ops Engineers, Feature Engineers and Data Scientists. Oversee and co-ordinate with an external partner who will provide ML Ops/Data Science support for daily operations and future enhancements
Should be an SME in Pharma Advanced Analytics – Sales Force Detailing Optimization and Allocation, Clustering, Test & Control, MMX modeling, ROI.
Build and evaluate Promotional Response models, impact assessment for physician-directed promotional programs and Marketing Mix models, Optimal promotional sequences to establish business impacts of various Health Care Provider (HCP) promotions
Generate standard or custom reports and presentations summarizing business and financial data for review by Executives, Managers, Clients, and other Stakeholders
Research and apply emerging analytical methods and tools such as Machine Learning, Deep Learning, Advanced Statistical methods, Cloud Computing in Amazon Web Server (AWS), Python, R etc., to measure promotional impacts and optimal budget allocations
Qualifications:
Bachelor’s Degree required. Advanced degree preferred
Minimum 8 -10 years of work experience in areas of advanced analytics, data science, statistical modeling, and market mix modeling.
Marketing analytics and application of advanced methods on large and disparate datasets, specifically: Modelling and analytics, Design of Experiments, Time Series, Regression methods. Data Mining, Predictive Modelling & Machine Learning algorithms.
Working knowledge of the application of statistical estimation techniques and / or optimization techniques. Relevant expertise in using analytic tools such as SAS, SQL, Python, R, ML
Comprehension of the Health Care or Pharmaceutical industry and knowledge of using various 3rd party data sources, such as IQVIA Exponent and/or Longitudinal Patient Level Data are necessary.
Strong analytical skills, excellent communication skills and the ability to convey actionable analytical findings to a non-technical audience in clear and concise language.
Benefits package includes a Comprehensive Medical (includes Prescription Drug), Dental, Vision, Health Savings Account with company contribution, Flexible Spending Accounts, 401(k) matching, discretionary time off, paid sick time, tuition reimbursement, parental leave, short-term disability, long-term disability, life insurance, accidental death & dismemberment insurance, paid holidays, Employee Assistance Plan, commuter benefit, recognition awards, voluntary benefits (including Identity Theft, Student Loan and Breast Milk Shipping), employee referral bonuses and employee discounts.
#LI-hybrid
This position may be available in the following location(s): [[location_obj]]
Bausch Health Companies Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates collaboration.
If a candidate needs a reasonable accommodation/adjustment due to physical or mental health impairment for any part of the application process, they are encouraged to send their request to humanresources@bauschhealth.com or call 908-927-1400 and let us know the nature of the request and their contact information. Please be sure to include the job requisition number.
Job Applicants should be aware of job offer scams perpetrated through the Internet and social media platforms.
To learn more please read Bausch Health's Job Offer Fraud Statement (https://protection.greathorn.com/services/v2/lookupUrl/c29afa19-107c-4ce0-9f8c-cdaacd1f6318/176/af4e247fc99befe729755d44229317a5dc5e5807) .
Bausch Health is an EEO/AA employer M/F/D/V.