
Associate Director – Commercialization Data Science & AI Predictive Solutions
Are you a highly motivated and results-driven individual with a passion for leveraging data science and AI to drive commercial success? Do you have a track record of developing and implementing predictive solutions that have delivered significant business impact? If so, Bristol-Myers Squibb may have the perfect opportunity for you as our Associate Director of Commercialization Data Science & AI Predictive Solutions.In this role, you will lead a team of data scientists and analysts to identify and prioritize opportunities for data-driven commercial solutions. You will work closely with cross-functional teams to develop and implement predictive models and tools that will inform business strategies and drive revenue growth. As a key leader in our data science and AI team, you will have the opportunity to make a significant impact on our commercialization efforts and contribute to the success of our company.To excel in this role, you must have a strong background in data science and AI, with a proven ability to translate complex data into actionable insights. You should also have excellent project management skills and a demonstrated track record of delivering results in a fast-paced, dynamic environment. If you are a strategic thinker with a passion for data-driven solutions, we invite you to apply for this exciting opportunity at Bristol-Myers Squibb.
- Lead a team of data scientists and analysts to identify and prioritize opportunities for data-driven commercial solutions.
- Develop and implement predictive models and tools that inform business strategies and drive revenue growth.
- Collaborate with cross-functional teams to understand business needs and incorporate predictive solutions into their processes.
- Utilize data analytics and AI techniques to identify patterns and trends in large datasets.
- Communicate results and insights to key stakeholders and senior leadership.
- Stay up-to-date with the latest developments and advancements in data science and AI to continuously improve and enhance predictive solutions.
- Manage and maintain data infrastructure, ensuring data accuracy and integrity.
- Develop and monitor key performance indicators (KPIs) to measure the success and impact of predictive solutions.
- Mentor and coach team members to develop their skills and contribute to the overall success of the team.
- Collaborate with external partners and vendors to leverage their expertise and capabilities in data science and AI.
- Drive a culture of innovation and continuous improvement within the team and the broader organization.
- Ensure compliance with relevant regulations and policies related to data privacy and security.
Advanced Degree In Data Science, Computer Science, Statistics, Or A Related Field
Minimum Of 7 Years Of Experience In Data Science And Predictive Analytics In A Commercial Setting
Strong Understanding Of Artificial Intelligence And Machine Learning Techniques
Experience Leading And Managing A Team Of Data Scientists And Analysts
Proven Track Record Of Successfully Developing And Implementing Data-Driven Solutions For Commercialization Strategies In The Pharmaceutical Industry.
Project Management
Data Analysis
Communication
Market Research
Big Data
Machine Learning
Data Visualization
Statistical modeling
Team Leadership
Predictive analytics
Business Strategy
Ai Modeling
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
Organization
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Associate Director – Commercialization Data Science & AI Predictive Solutions in Princeton, NJ, USA is $175,000 - $225,000 per year. This may vary depending on the specific company, industry, and level of experience of the individual. Additionally, bonuses and other benefits may also be included in the compensation package.
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Bristol-Myers Squibb Co. operates as a biopharmaceutical company, which engages in the discovery, development, licensing, manufacturing, marketing, distribution, and sale of biopharmaceutical products. It includes chemically-synthesized drugs or small molecules and products produced from biological processes called biologics.

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