The company is looking to leverage advanced AI/ML techniques, including Generative AI, to solve complex analytical problems, likely within the life sciences or healthcare sector, and deploy these solutions in a production environment.
Requirements
- Supervised/unsupervised learning
- Deep learning, reinforcement learning, federated learning
- Time series analysis, optimization, Generative AI
- Python (required), R (nice to have), Scala (bonus)
- SQL/NoSQL, Snowflake, cloud databases
- Familiarity with Tableau, Power BI, Plotly, Git/version control, APIs
- Proficiency in R or Scala
Responsibilities
- Hands-on GenAI/ML modeling with complex datasets
- Experience developing and deploying code in agile, AI product-focused teams
- Comfortable working in cloud/HPC environments (AWS, GCP, Databricks, Apache Spark)
- Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development
- Strong Python coding (functions, classes); production-ready software development
- Familiarity with Tableau, Power BI, Plotly, Git/version control, APIs
Other
- PhD with 2+ years analytical experience OR Master's with 4+ years analytical experience
- Excellent communication, data visualization, and storytelling skills
- Skilled in simplifying technical concepts for business stakeholders
- Team-oriented with ability to manage multiple priorities in fast-paced environments
- Experience in life sciences or healthcare
- Experience in global, complex organizations
- Exposure to tools like DataRobot, Dataiku, Alteryx
