How Remoteville checks and expires listings
Senior Data Scientist
Skills
Computer ScienceBalletCustomer ExperienceEnglishReadinessSalesStructured Finance
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience in data science analytics applied ML or MLE in a high-growth environment
- Strong foundation in statistics experimentation causal thinking forecasting and applied analytics
- Ability to scope ambiguous problems and drive decisions with stakeholders
- Comfort writing production-quality Python code and building maintainable internal systems
- Excellent communication with non-technical audiences including tradeoffs assumptions and recommendations
- High ownership autonomy and ability to operate in a fast-paced environment without much process
Nice to have
- Structured systems thinking
- Cross-functional mindset
- Autonomy
- High ownership
- Startup experience
Day to day
- Own data science end-to-end by turning ambiguous business questions into crisp scopes and actionable analysis.
- Build lightweight internal systems and tools so insights are reproducible maintainable and decision-ready.
- Partner closely with GTM product and finance leaders to surface anomalies opportunities and recommendations as the business scales.
Hiring process
- Intro call
- Take-home exercise overview
- Paid take-home exercise
- On-site take-home review
- GTM collaboration
- Lunch with the team
- Problem solving discussion
- Systems and engineering interview
- Culture interview
- References