Director, Data Science 1 of 2
Director, Data Science 1 of 2
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 194600 - 361400
1 Vacancy
Job Description
Band
Level 6Job Description Summary
This position will be located at the East Hanover NJ location and will not have the ability to be located remotely.This is 1 of 2 roles.
Job Description
The Insights and Decision Science (IDS) team is dedicated to enabling improved decision making at Novartis by leveraging superior data to identify actionable insights that drive enhanced performance. We collaborate closely with the US business bringing insights and challenging ideas to empower smarter datadriven decisionmaking. Reporting into the ED AI and Innovation Data Science this role is crucial in leading the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic growth across the organization.
This position plays a vital role in integrating AIdriven solutions across various platforms fostering collaboration between the US commercial team and the Indiabased data science team. By championing the exploration of cuttingedge AI technologies the Director ensures that our strategies are informed by the latest advancements in generative AI and large language models (LLMs). This role will collaborate with other members of the IDS AI and Innovation team members to create pilot and scale AI tools to support broader goals of the IDS strategy to transform business processes and outcomes.
Key Responsibilities:
- Lead the development and deployment of scalable AI solutions focusing on advanced AI applications across various business units.
Be prepared to engage in handson work when necessary to support the team and further our data science initiatives.
Collaborate with crossfunctional teams to integrate AIdriven solutions across various platforms and services.
Drive innovation by staying current with advancements in AI particularly in generative models and LLM technologies.
Champion the exploration and integration of cuttingedge AI technologies particularly in the field generative AI.
Act as a key liaison between the US commercial team and the Indiabased data science team.
Stay abreast of stateoftheart foundation models and other innovative trends in data science and leverage these insights to inform our strategies.
Bring a cando attitude and teamwork and inspire others on culture change.
Acts as an AI role model championing a culture that embraces cuttingedge AI technologies and encourages experimentation and adoption of best practices
Experience:
Novartis is seeking an individual with proven experience working with machine learning models. They should have a strong ability to support crossteam development of AI programs. A firm commitment to driving continuous improvement in AI solutions informed by current innovations is vital to this role.
Essential Requirements:
- Advanced degree in Computer Science Engineering Statistics or related field
Minimum of 10 years of experience in data science with 68 years of experience in the pharmaceutical industry
Build and deploy scalable machine learning models using cloudbased services such as AWS and Azure
Strong understanding of deep learning algorithms foundational/ LLM models statistics and recommendation system
Deep knowledge of Large Language Models (LLMs) such as GPT BERT Cohere and their applications in realworld scenarios.
Ability to operate in a handson capacity when necessary.
Proficient in programming languages such as Python Spark TensorFlow and PyTorch
Experience with digital channel selection for next best action
Excellent problemsolving skills and ability to identify creative solutions to complex problems
Strong ability to effectively communicate and work across different time zones
The pay range for this position at commencement of employment is expected to be between: $194600.00 and $312400.00 a year; however while salary ranges are effective from 1/1/25 through 12/31/25 fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further final pay determinations will depend on various factors including but not limited to geographical location experience level knowledge skills and abilities. The total compensation package for this position may also include other elements including a signon bonus restricted stock units and discretionary awards in addition to a full range of medical financial and/or other benefits (including 401(k) eligibility and various paid time off benefits such as vacation sick time and parental leave) dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired employee will be in an atwill position and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment hiring training promotion or other employment practices for reasons 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 strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Accessibility and reasonable accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If because of a medical condition or disability you need a reasonable accommodation for any part of the application process or in order to perform the essential functions of a position please send an email to call 1 (877)and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Range
Skills Desired
Applied Mathematics Artificial Intelligence (AI) Aws (Amazon Web Services) Big Data Building Construction Cloud Computing Computer Science Data Governance Data Literacy Data Management Data Quality Data Science Data Strategy Electrical Transformer Machine Learning (Ml) Master Data Management Professional Services Python (Programming Language) R (Programming Language) Random Forest Algorithm Statistical Analysis Time Series AnalysisRequired Experience:
Director
Employment Type
Full-Time
