Senior Data Scientist (Revenue Analytics)
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Описание вакансии
TL;DR
Senior Data Scientist (Revenue Analytics): Developing strategic data-driven recommendations to scale and optimize revenue across the entire customer lifecycle with an accent on simulation modeling, A/B testing, and causal impact analysis. Focus on breaking down complex business ambiguity into actionable insights and improving data infrastructure to drive company-wide growth.
Location: Must be located within the continental United States
Salary: $125,000 - $135,000 per year
Company
is a post-purchase experience platform providing merchants with AI-driven solutions for customer service, returns, and product protection.
What you will do
- Lead cross-functional teams to solve ambiguous business questions and implement revenue-driving initiatives.
- Identify and execute strategies to maximize revenue and enhance client acquisition throughout the revenue waterfall.
- Improve quantitative analysis techniques including simulation models, A/B testing, and causal impact analysis.
- Present data-driven insights to leadership on a regular basis.
- Own and refine data pipelines and define data structures to uncover new revenue opportunities.
- Set the standard for analytical thinking and excellence within the team.
Requirements
- 5+ years of experience in data science or consulting with a focus on data-driven business impact.
- Expert knowledge of SQL, Python, A/B testing, and Github.
- Advanced degree in data science, analytics, economics, statistics, or a related quantitative field.
- Strong written and verbal communication skills for diverse audiences.
- Must be located within the continental United States.
Culture & Benefits
- Competitive salary with full medical, dental, and vision benefits.
- Stock options in a fast-growing startup.
- Generous and flexible paid time off policy.
- 401(k) plan with financial guidance.
- Collaborative and supportive environment with a diverse team.
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