Related skills
sql python pandas tensorflow keras📋 Description
- Collaborate with Analytics/BI teams and Braze on use-case definition and data integration.
- Extend product by building reusable data pipelines, APIs, and components.
- Work with the RL pipeline team to refine reinforcement learning algorithms.
- Contribute to BrazeAI strategy and roadmap with customer insights.
- Provide ongoing technical guidance to ensure adoption and customer success.
🎯 Requirements
- Bachelor's degree in CS/Data Science/Math/Engineering; Master's/PhD preferred.
- 3–5+ years as Data Scientist/ML Engineer in large-scale production; customer-facing preferred.
- Python (Pandas) with ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost); SQL.
- Engineering best practices: modular, documented code; Git, CI/CD.
- Nice-to-have: DevOps tools (Airflow, Kubernetes, Terraform, GCP), ETL, RL algorithms.
- Customer collaboration: comfortable working with clients and cross-functional teams.
🎁 Benefits
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data 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!