Data Scientist
Invisible Technologies
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Data Scientist, AI Analytics, Strategy and Activation
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full-time
Posted on:
Location: Illinois • 🇺🇸 United States
Visit company websiteSalary
💰 $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+)
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