Related skills
data engineering machine learning data infrastructure data science statistics📋 Description
- Build, manage, and develop a 15+ data science team across Growth, Risk, and Core Product.
- Influence analytics and data engineering culture from executives to product and ops.
- Guide strategy, architecture, and tooling of Mercury’s data infrastructure.
- Partner with business leaders to ensure tools, reporting, and analytics.
- Create an empowering environment with clear career paths for data staff.
- Collaborate with People, Legal, Compliance, and Privacy on data privacy.
🎯 Requirements
- 10+ years of experience in data roles, including 4+ years managing data teams.
- Partner with leaders to provide tools, reporting, and proactive analytics.
- Be opinionated on using data to drive decisions.
- Strong knowledge of data science, machine learning, statistics, and experimentation.
- Hands-on with financial calculations for commercial applications.
- Experience aligning data teams with privacy and security standards.
🎁 Benefits
- Total rewards include base salary, equity, and benefits.
- Salary and equity ranges are benchmarked against industry data.
- Mercury is an Equal Opportunity employer with accommodations for disabilities.
- A collaborative, diverse environment across product teams.
- Remote-friendly options and flexible work arrangements.
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