Data Scientist

Join Ramp, a fast-growing fintech startup, as a Data Scientist. In this role, you will lead the future of analytics at Ramp by developing data products and insights that drive results and process improvements. You will collaborate closely with business stakeholders and product, engineering, and design teams to prioritize and execute on work, improve reporting, and contribute to the culture of Ramp's data team. The position offers comprehensive benefits, including medical, dental, and vision insurance, unlimited PTO, and relocation support to NYC.

• Contribuer à la culture de l'équipe de données de Ramp en influençant les processus, les outils et les systèmes.
• Collaborer avec les équipes de produit, d'ingénierie, de données et de design pour développer des feuilles de route produit et mesurer le succès.
• Travailler en étroite collaboration avec les équipes d'ingénierie des données pour capturer, déplacer, stocker et transformer les données brutes en informations exploitables.
• Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
• Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
• Minimum of 4 years of industry experience as a Data Scientist
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
• Track record of shipping high quality products and features at scale
• Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
• Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
• Experience within the payments and financial technology space
• Familiarity with B2B enterprise sales cycle metrics and processes