Forward-deployed Data Scientist Ii

Braze

San Francisco, California, United States
Base: $98,000-$164,000pyear; bonus/equity: ote $10...
On-site
3-5 years data science experience
Python pandas and core ml libraries
Sql for querying large datasets
This role involves partnering with customers to define use cases, set up data pipelines, and configure ML models for success

Job Summary

  • This role involves partnering with customers to define use cases, set up data pipelines, and configure ML models for success.
  • Candidates will work closely with the RL pipeline team to refine self-learning algorithms and contribute to product strategy.
  • The position offers a comprehensive total rewards package including equity grants, flexible paid time off, and professional development stipends.

Matching Summary

This role involves partnering with customers to define use cases, set up data pipelines, and configure ML models for success.

Salary

Base: $98,000-$164,000/year; Bonus/Equity: OTE $109,000-$183,000/year including RSUs; Benefits: Comprehensive medical, dental, vision, retirement, and PTO

Skills & Requirements

Must-have

  • 3-5 years Data Science experience
  • Python Pandas and core ML libraries
  • SQL for querying large datasets
  • Machine learning pipeline deployment
  • Customer-facing consulting experience

Nice-to-have

  • Experience with DevOps tools like Airflow
  • Knowledge of Kubernetes and Terraform
  • Reinforcement learning algorithm expertise
  • Strong communication with non-technical stakeholders
  • Entrepreneurial problem-solving mindset

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • Master's or PhD preferred
  • 3-5+ years hands-on experience
  • US location requirement (San Francisco)

Work Rights

Not specified

Tailored Resume

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