Senior Director, Data Science & Gen AI
US IL Chicago E. Randolph, United States
USD 215K-295K Senior-level Full Time
Tasks
- Build capability roadmap and standards for responsible AI
- Build testing frameworks for AI solutions
- Define AI and analytics R and D requirements and roadmaps
- Develop scalable data architecture with data engineering
- Drive education and adoption of data science and generative AI
- Evaluate and implement AI and ML tools
- Evaluate model performance and tradeoffs
- Govern analysis plans and ensure reproducibility and compliance
- Lead end to end machine learning and generative AI development
- Manage R and D across product lines and data domains
- Manage analytics vendors and partnerships
- Mentor and develop data science talent
- Oversee training data and preprocessing pipelines
- Set enterprise technical strategy for generative AI
Perks/Benefits
- 11 holidays
- 401k matching
- Annual Bonus Incentive
- Life style spending account
- Medical/Dental/Vision insurance
- Paid time off
Skills/Tech-stack
AWS | Agile | Azure | Azure Synapse Analytics | Bayesian Inference | CI/CD | Data Preprocessing | Data Visualization | Databricks | Deep learning | FHIR | Generative AI | Google Cloud | HL7 | Kanban | Kubeflow | Language Models | Language Processing | Large Language Models | Learning operations | MLOps | MLflow | Machine Learning | Machine Learning Operations | Microsoft Azure | Microsoft Azure Synapse | Microsoft Azure Synapse Analytics | Microsoft SQL | Microsoft SQL Server | Model Architecture | Model Evaluation | MySQL | Natural Language | Natural Language Processing | Oracle | PostgreSQL | Predictive Modeling | Probability theory | Python | R | Relational databases | Reproducibility | Responsible AI | SQL | SQL Server | Scrum | Snowflake | Stochastic systems | Streaming Data | Supervised Learning | Synapse Analytics | Unsupervised Learning
Education
Regions
Countries
States
Cities
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