Senior Manager, Data Science
H1586 - HB San Francisco, CA (180 Montgomery St.), United States
USD 122K-228K Senior-level Full Time
Tasks
- Build machine learning systems
- Build predictive models
- Communicate analytics initiatives
- Define success metrics
- Deploy machine learning models
- Design analytical approaches
- Develop business cases
- Drive experimentation frameworks
- Ensure data quality
- Establish model development best practices
- Implement MLOps practices
- Implement model governance
- Implement quality control processes
- Improve model performance
- Lead change management for analytics
- Lead discovery sessions
- Lead strategic initiatives
- Manage model lifecycle
- Mentor data scientists
- Monitor model performance
- Partner with engineering and product teams
- Prepare semi structured data pipelines
- Prepare structured data pipelines
- Prepare unstructured data pipelines
- Present recommendations to stakeholders
- Provide guidance on emerging trends
- Translate analytics into insights
Perks/Benefits
- Accident insurance
- Health insurance
- Hybrid work
- Life insurance
- Remote work option
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AWS SageMaker | Apache Hadoop | Apache Hive | Apache Spark | Artificial Intelligence | Azure Machine Learning | Data Governance | Data Modeling | Data Quality | Deep learning | Distributed Computing | MLOps | Machine Learning | Model Monitoring | Predictive Analytics | Python | SQL
Regions
Countries
States
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