Related skills
aws sql python databricks tensorflow📋 Description
- Own data products delivering insights to drive business decisions
- Lead requirements elicitation as user stories and backlog prioritization
- Collaborate with data scientists, engineers, and stakeholders to deliver ML solutions
- Partner with Data Science and ML Data Engineering teams to deliver value through data
- Create and maintain ML platform docs, including tracking, deployment, feature engineering, and observability
- Monitor platform performance, model accuracy, and data quality; address issues to improve efficiency
🎯 Requirements
- 3-6 years PM/PO/Data Scientist delivering data products with stakeholder satisfaction
- Experience with data warehouse and DS tech: Python, PySpark, Databricks, AWS, MLflow
- Proficiency with TensorFlow, PyTorch, or scikit-learn for model development and deployment
- Expertise using Databricks for scalable ML workflows
- Strong SQL and Python programming for data prep and model development
- Hands-on MLflow experience with Unity Catalog governance
- Familiarity with ML observability tools (Fiddler, Evidently AI)
- Feature stores experience and Terraform IaC
🎁 Benefits
- Health plans including fertility and mental health support
- PTO and paid holidays (14 company holidays)
- Annual bonus and long-term incentive opportunities
- 401k with up to 5% match
- Commuter benefits
- Pet insurance and more
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Product Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!