Head, Innovation Accelerator Data Science
South San Francisco, United States
USD 254K-472K Executive-level Full Time
Tasks
- Coach and mentor team members and develop future technical leaders
- Collaborate with cross functional partners to deliver feasible solutions
- Drive portfolio governance resource planning and progress reviews
- Drive technical leadership across data science and software engineering innovation projects
- Ensure traceability reproducibility and risk mitigation through documentation
- Establish technical standards for reuse and modularity
- Execute priorities budget and capacity planning
- Foster high performance inclusive culture and continuous improvement
- Identify and integrate new technologies and platforms
- Lead hiring onboarding workforce planning and succession management
- Lead technical capacity planning and resource deployment
- Make architectural decisions for scalability performance reliability and compliance
- Manage multidisciplinary technical teams and delivery accountability
- Manage team deployment and resource allocation across portfolio
- Oversee execution quality technical risk management and project velocity
- Provide subject matter expertise and escalation for applied data science and software engineering
- Secure stakeholder alignment resources and sponsorship for technical priorities
- Set development goals conduct performance evaluations and guide career progression
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Bayesian Modeling | Bayesian statistics | Causal Inference | Clinical Outcomes | Clinical outcomes research | Cloud Platforms | Decision Theory | Decision analysis | Decision simulation | DevOps | EHR | Electronic Health Records | Epidemiology | Experimental Design | GenAI | Health Records | High Performance | High-Performance Computing | Interpretable machine learning | Knowledge graphs | MLOps | Machine Learning | Monte Carlo | Monte Carlo Simulation | Multiple Criteria Decision Analysis | Ontologies | Outcomes Research | Performance Computing | Probabilistic Programming | PyTorch | Python | R | Scikit-learn | Statistical modeling | Supervised Learning | TensorFlow | Testing | Unsupervised Learning | Utility elicitation | Value of Information | Version control | XGBoost
Education
Roles
Data Science | Director | Director of Data | Director of Data Science | Head | Head of Data | Head of Data Science
Regions
Countries
States
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