Related skills
data analytics software engineering data pipeline sql pythonπ Description
- Own high-impact customer pipelines, driving data quality, efficiency, revenue, and margins.
- Design data taxonomy aligned to customer needs to improve model performance.
- Build pipeline infrastructure to ensure quality and efficiency.
- Train, coach, and manage dynamic, global teams.
- Build analytics to enable data-driven decisions.
- Partner with Engineering, Product, Ops, and Go-to-Market to drive progress and report to executives.
π― Requirements
- A strong technical background; degree in ML Engineering, CS, or Software Engineering.
- 3+ years leading a team/projects or 3+ years as SWE.
- Strong problem-solving capabilities in technical environments; ability to craft creative solutions to complex, ambiguous problems.
- Entrepreneurial experience and mindset; excited about building from scratch and executing quickly.
π Benefits
- Equal opportunity employer.
- Accommodations available (accommodations@scale.com).
- Know Your Rights poster available.
- Pay Transparency provisions.
- Privacy policy at scale.com/privacy.
- 90-day waiting period before reconsideration.
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