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Data Scientist, AI Analytics, Strategy and Activation

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full-time

Posted on:

Origin:  • 🇺🇸 United States • Illinois

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Salary

💰 $150,000 - $175,000 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudJavaPython

About the role

  • Design, train, test, and implement AI/ML models and algorithms to optimize processes across business units using state-of-the-art techniques
  • Conduct data exploration and preprocessing to identify features and improve model performance
  • Fine-tune models for production environments and maintain model performance after deployment
  • Coordinate and manage activities of vendor support or technical staff and translate business needs to technical requirements
  • Stay up-to-date with AI/ML research and identify AI opportunities to improve efficiency across functions
  • Contribute to development and activation of Lundbeck US’s AI strategy aligned with business goals
  • Document AI models, methodologies, and processes and share best practices
  • Partner with Advanced Analytics and Omnichannel Customer Engagement team and cross-functional teams on requirements, solution development, and implementation

Requirements

  • Accredited bachelor’s degree in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics, etc.)
  • 4+ years of relevant experience in AI/ML model development, deployment, and optimization for marketing, sales and/or commercial initiatives
  • Strong proficiency in predictive modeling and machine-learning techniques including cluster analysis, multivariate regression/tree-based analysis, neural networks, reinforcement learning, unsupervised/supervised ML, Bayesian/Monte Carlo/Bootstrapping
  • Strong proficiency in programming languages such as Python, R, or Java
  • Hands-on experience with NLP, Deep Learning, and large language models (LLMs)
  • Experience working with cloud platforms and MLOps for model deployment
  • Familiarity with version control systems, such as Git
  • Ability to tackle complex problems independently and provide practical, scalable AI/ML solutions
  • Strong analytical and problem-solving abilities with capacity to translate data into business insights
  • Willingness/ability to travel up to 20% domestically
  • Preferred: ability to manage and prioritize multiple projects simultaneously
  • Preferred: experience leading projects or teams
  • Preferred: previous experience in pharmaceutical or biotech industries
  • Preferred: in-depth experience with pharmaceutical datasets (first-party patient data, third-party claims, EHR, demand data)
  • Preferred: excellent oral and written communication skills and familiarity with regulatory standards in the pharmaceutical industry (e.g., GxP, ALCOA+)