Director, Data Science

Novartis

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: East Hanover, NJ
Salary: $194,600–$361,400 / yr
Employment: Full-time
Posted: 62 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $230k

This role $278k

$158k $383k

below market most similar roles pay here above market

This role pays more than 82% of similar roles. Most pay $195,000–$264,250 — the blue band above. At the midpoint, this role pays about $278k versus about $230k for comparable roles.

Based on 240 similar postings.

Employer

About Novartis

Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals

Novartis currently has 17 open roles on FindRole.

Listed pay typically runs $176,400–$327,600 across 17 roles with salary data.

Most-posted roles

View all roles at Novartis

At a glance

TL;DR · Director, Data Science

Role Posting Log in to save

The Director, Data Science will join a team focused on integrating AI-driven solutions across various platforms to transform business processes and outcomes. This role involves leading the development and deployment of scalable machine learning models, championing the exploration of generative AI, and acting as a key liaison between the US commercial team and the India-based data science team. The successful candidate will build and pilot AI tools, staying current with foundation models and deep learning algorithms. Required technical skills include proficiency in Python, Spark, TensorFlow, and PyTorch, along with experience in AWS and Azure cloud services. The role requires deep knowledge of LLMs like GPT, BERT, and Cohere, as well as expertise in statistics, recommendation systems, and digital channel selection for next best action.

Skills

Generative AI Large Language Models (LLMs) Python Machine Learning Deep Learning TensorFlow PyTorch Spark AWS Azure GPT BERT Cohere Statistics Data Science Time Series Analysis Data Visualization

What you'll do

Lead the development and deployment of scalable AI solutions across various business units.
Integrate AI-driven solutions across different platforms and services with cross-functional teams.
Act as the primary liaison between the US commercial team and the India-based data science team.
Drive innovation by researching and integrating cutting-edge generative AI and LLM technologies.
Build and deploy scalable machine learning models using cloud-based services like AWS and Azure.
Perform hands-on data science work to support team initiatives and model development.
Inform corporate strategies by staying current on state-of-the-art foundation models and data science trends.

What we're looking for

Advanced degree in Computer Science, Engineering, Statistics, or a related field.
Minimum of 10 years of experience in data science.
Minimum of 6 years of experience in the pharmaceutical industry (preferred).
Experience building and deploying scalable machine learning models using AWS and Azure.
Deep knowledge of Large Language Models (LLMs) such as GPT, BERT, and Cohere.
Proficiency in programming languages including Python, Spark, TensorFlow, and PyTorch.
Strong understanding of deep learning algorithms, statistics, and recommendation systems.
Ability to work in a hands-on capacity and communicate effectively across different time zones.

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