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Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Manager, Analytical AI Forecasting and Predictive Solutions

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePrinceton, NJ, USAIn-person

About the Job

Requirements

  • A BA or BS is required; a quantitative area of study is preferred.
  • Proficiency in Python or R, SQL, Tableau, and Microsoft Office Suite is required.
  • Two to three years of hands-on experience in advanced analytics and data science is required.
  • Excellent communication and presentation skills, including the ability to explain complex analyses and outcomes to technical and non-technical stakeholders, are required.
  • Proven experience operating large, complex projects with multifunctional team members is required.

Responsibilities

  • Contribute to a collaborative team of data scientists, forecasting subject-matter experts, and machine learning practitioners.
  • Support adoption of advanced forecasting approaches through analytical rigor, curiosity, and continuous improvement.
  • Contribute ideas and insights to improve forecasting processes, tools, and methodologies.
  • Develop and maintain forecasting models using statistical, machine learning, and AI techniques under established frameworks and standards.
  • Analyze large datasets to identify trends, patterns, and drivers that inform forecasting outputs.
  • Partner with Finance, Commercial, Market Access, and Analytics teams to translate business questions into analytical and forecasting solutions.
  • Monitor model performance and support continuous improvements in forecast accuracy and reliability.
  • Communicate forecasting results, assumptions, and insights to technical and non-technical stakeholders.
  • Support experimentation to validate model assumptions and enhance forecasting performance.
  • Maintain documentation for models, processes, and analytical workflows.
  • Apply established best practices in forecasting, data science, and machine learning.
  • Stay informed about evolving analytical and forecasting techniques and support adoption of relevant advancements within defined use cases.
  • Contribute to scaling standardized tools, templates, and processes across forecasting use cases.
  • Collaborate with analytics peers and business stakeholders to support forecasting deliverables.
  • Participate in preparing, presenting, and discussing forecasting outputs with cross-functional partners.
  • Support change adoption by explaining analytical approaches and building trust in models and results.
  • Contribute insights to performance evaluation of forecasting solutions, including accuracy, usability, and business impact.
  • Help identify opportunities for incremental improvements across deployed models and analytics outputs.

Desired Qualifications

  • A quantitative area of study is preferred.
  • An MBA or other graduate degree is preferred.
  • Experience with Git and cloud-based environments such as AWS or Azure, and/or commercial forecasting experience, is preferred.
  • Hands-on experience with pharmaceutical forecasting is preferred.

About the Company

Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Bristol Myers Squibb discovers, develops and sells prescription medicines for serious illnesses, including cancer, blood disorders, immune diseases and heart disease, for patients treated by doctors and hospitals around the world. Its best-known drug is Opdivo, an immunotherapy that helps the body's own immune system find and attack many kinds of cancer. Researchers develop drug candidates in its labs or bring them in through acquisitions and partnerships, then test them in clinical trials to win regulatory approval. The company makes and markets the approved medicines and earns its revenue from sales of patent-protected drugs. Its roots go back to a business founded in 1887, and it is based in Lawrence Township, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Lawrence Township, NJ
Founded
1887

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