Staff Data Scientist
About Our Client
The organization operates in the asset management space, focusing on simplifying ownership experiences for valuable physical assets such as cars and homes. Traditional processes around buying, selling, insuring, maintaining, and repairing these assets are often fragmented and costly. The company has developed an integrated application that began with car insurance in 2019, expanding to include driving insights, diagnostics, and repair marketplaces. It serves over 5 million customers, has raised significant funding, achieved substantial revenue growth, and reached profitability. The organization is now extending its services to related asset categories like homes, motorcycles, and recreational vehicles.
About the Opportunity
The Staff Data Scientist plays a critical role within the Data Science & Analytics team, embedded in key business units such as growth marketing, product development, AI and automation, or strategic partnerships. This position is responsible for leading analytical efforts that drive strategic decision-making and business growth. The role involves defining relevant business problems, generating insights from data, and collaborating with cross-functional teams to implement impactful solutions that advance the organization's ambitious goals.
Responsibilities
- Collaborate with business units to identify and define key analytical questions.
- Develop metrics, reports, and experiments to surface actionable insights.
- Analyze data using SQL, Python, and related tools to inform decisions.
- Communicate findings and recommendations clearly to stakeholders.
- Own the analytical process end-to-end within assigned business area.
- Challenge assumptions to ensure alignment with business objectives.
Requirements
- Six or more years of experience in consulting, investment banking, or high-growth technology sectors.
- Strong analytical skills with proficiency in SQL and Python.
- Proven capability to independently handle ambiguous problems and deliver measurable impact.
- Excellent communication skills to influence leadership and cross-functional teams.
- Ability to work autonomously and take ownership of projects.