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Director, Data Science 1 of 2

Band

Level 6


 

Job 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, data-driven decision-making. 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 AI-driven solutions across various platforms, fostering collaboration between the US commercial team and the India-based data science team. By championing the exploration of cutting-edge 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 hands-on work when necessary to support the team and further our data science initiatives. 

  • Collaborate with cross-functional teams to integrate AI-driven 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 cutting-edge AI technologies, particularly in the field generative AI. 

  • Act as a key liaison between the US commercial team and the India-based data science team. 

  • Stay abreast of state-of-the-art foundation models and other innovative trends in data science and leverage these insights to inform our strategies. 

  • Bring a “can-do” attitude and teamwork and inspire others on culture change.  

  • Acts as an AI role model, championing a culture that embraces cutting-edge 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 cross-team 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 6-8 years of experience in the pharmaceutical industry 

  • Build and deploy scalable machine learning models using cloud-based 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 real-world scenarios. 

  • Ability to operate in a hands-on capacity when necessary. 

  • Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch 

  • Experience with digital channel selection for “next best action” 

  • Excellent problem-solving 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: $194,600.00 and $312,400.00 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 sign-on 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 “at-will 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 e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings



 

Salary Range

$194,600.00 - $361,400.00


 

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 Analysis
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Average salary estimate

$253500 / YEARLY (est.)
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$194600K
$312400K

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What You Should Know About Director, Data Science 1 of 2, Novartis

Are you ready to take your data science career to the next level? Novartis is looking for a dynamic Director of Data Science to join our Insights and Decision Science (IDS) team based in East Hanover, NJ. In this critical role, you will lead the development and deployment of cutting-edge AI solutions that not only enhance our operational efficiency but also drive our strategic growth initiatives. You'll collaborate closely with our US commercial team and our data science experts in India, integrating innovative AI-driven solutions across various platforms. Your hands-on approach will be essential as you immerse yourself in advanced AI applications, staying at the forefront of machine learning technologies, generative models, and large language models (LLMs). The ideal candidate will bring at least 10 years of experience in data science, with a strong background in the pharmaceutical industry. You should have a robust understanding of machine learning and deep learning algorithms, along with proficiency in programming languages like Python and TensorFlow. Here at Novartis, we value teamwork and innovation, and we believe that every individual's contribution is key to our success. Join us in our mission to empower smarter, data-driven decisions that make a real difference in healthcare. Let's create a future where AI and human insight work hand-in-hand. Apply now to be a part of our visionary team!

Frequently Asked Questions (FAQs) for Director, Data Science 1 of 2 Role at Novartis
What are the key responsibilities of the Director, Data Science at Novartis?

The Director, Data Science at Novartis takes on a pivotal role in leading the development and deployment of AI solutions. This includes engaging in hands-on work, collaborating with cross-functional teams, and staying current with AI advancements, particularly in generative models and large language models (LLMs). You will champion AI technologies and support broader goals to transform our business processes.

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What qualifications are required for the Director, Data Science position at Novartis?

To qualify for the Director, Data Science role at Novartis, candidates should possess an advanced degree in Computer Science, Engineering, or Statistics. Additionally, a minimum of 10 years of data science experience, including 6-8 years in the pharmaceutical industry, is essential. Proficiency in programming languages like Python and experience with machine learning models are also crucial for success.

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How does the Director, Data Science contribute to the success of Novartis?

The Director, Data Science plays a significant role in enhancing decision-making by leveraging data insights and AI technology. By developing scalable AI applications, driving innovation, and fostering collaboration across teams, this position is instrumental in ensuring that Novartis remains at the forefront of data-driven strategies in the pharmaceutical industry.

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What programming languages should a Director, Data Science at Novartis be proficient in?

Candidates for the Director, Data Science role at Novartis should be proficient in programming languages like Python and have experience with frameworks such as Spark, TensorFlow, and PyTorch. An understanding of machine learning algorithms and their applications in real-world scenarios is also critical.

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What is the expected salary range for the Director, Data Science role at Novartis?

The expected salary range for the Director, Data Science position at Novartis starts at $194,600 and can go up to $312,400 annually. However, final salary determinations will depend on various factors, including geographical location, experience, and individual performance.

Join Rise to see the full answer
Common Interview Questions for Director, Data Science 1 of 2
Can you describe your experience with machine learning models?

In preparing for this question, highlight specific projects where you've developed or deployed machine learning models. Discuss your approach, the technologies you used, and any outcomes or improvements your models delivered.

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How do you stay current with advancements in AI and data science?

Share your strategies for continuous learning, such as attending conferences, participating in webinars, or following key thought leaders and publications in the AI space. Emphasize your commitment to integrating new knowledge into practical applications.

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What role does collaboration play in your work as a data scientist?

Collaboration is key in data science. Describe how you've worked with cross-disciplinary teams to achieve shared goals. Provide examples of successful projects that required teamwork and the impact of those collaborations on the project's success.

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How have you integrated AI technologies in past projects?

Discuss specific instances where you've implemented AI technologies. Explain the problems you aimed to solve, your approach, and the results. This will demonstrate your practical experience and understanding of AI applications.

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What strategies do you employ for problem-solving in data science?

Articulate a structured approach to problem-solving, including how you define the problem, analyze data, explore potential solutions, and implement your chosen strategy. Highlight any tools or methodologies you prefer.

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Can you give an example of a challenging data science project and how you overcame obstacles?

Choose a project where you faced significant challenges, detailing the nature of those obstacles. Discuss the strategies you implemented to overcome them and the lessons learned from the experience.

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What are your thoughts on generative AI and its future applications?

Express your insights into the advancements in generative AI and their potential implications for various industries. Discuss how you envision these technologies transforming data science practices and decision-making.

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How do you ensure ethical considerations are addressed in AI development?

Address the importance of ethics in AI by discussing your approach to fairness, accountability, and transparency in AI models. Mention any frameworks or protocols you follow.

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What programming languages are you most comfortable with for data science?

Be prepared to discuss your proficiency in relevant programming languages, particularly Python, and any projects where you implemented them. Highlight your competence in applying libraries and frameworks for machine learning.

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How would you describe your leadership style when managing data science projects?

Outline your leadership philosophy and how it translates into managing teams and projects. Discuss how you inspire collaboration, ensure open communication, and drive innovation in a data science environment.

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DATE POSTED
April 5, 2025

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