Related skills
data analytics software engineering data pipeline sql python📋 Description
- Own high-impact customer pipelines affecting data quality, ops, revenue.
- Design data taxonomy to improve model performance for customers.
- Build pipeline infrastructure ensuring quality and efficiency.
- Train, coach, and manage global teams.
- Build analytics to enable data-driven decisions.
- Partner with Eng, Product, Ops, Go-to-Market to advance LLMs.
🎯 Requirements
- Degree in ML Engineering, CS, or Software Engineering; SQL and Python analytics.
- 3+ years leading teams/projects or 3+ years as SWE.
- Strong problem-solving in technical environments; creative solutions.
- Entrepreneurial mindset; build from scratch and execute quickly.
🎁 Benefits
- 90-day waiting period before reconsideration.
- Inclusive, equal-opportunity workplace.
- Accommodations available on request.
- Privacy and pay transparency information.
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