Lead Data Scientist, Data Products & Insights

Visa Hunt; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible PTO

Centralized home-office equipment

Health and wellness stipend

Relocation support to NYC or SF

Weekly coffee stipend

Job summary

Ramp is seeking a Data Scientist to help lead the future of analytics by developing data products and insights that enable 1% daily improvement. You will partner with business stakeholders and product, engineering, and design counterparts to prioritize work, improve reporting, and drive measurable results.

With at least 4 years in industry, you will ship high-quality features at scale, thrive in a fast-paced startup, and collaborate across Product Data, Risk Data, and Growth Data teams to turn

Qualifications

• Minimum of 4 years of industry experience as a Data Scientist.
• Strong SQL skills and experience with data warehousing platforms.
• Experience distributing data insights via dashboards and reports.

Responsibilities

• Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
• Drive a culture of experimental design, testing agenda, and best practices
• Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
• Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
• Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action

Skills

SQL

BI tools

Data modeling

Shipping products at scale

Stakeholder collaboration

Tools

Redshift

Snowflake

BigQuery

Looker

Sigma

Hex

Job description

Ramp is seeking a Data Scientist to help lead the future of analytics by developing data products and insights that enable 1% daily improvement. You will partner with business stakeholders and product, engineering, and design counterparts to prioritize work, improve reporting, and drive measurable results.

With at least 4 years in industry, you will ship high-quality features at scale, thrive in a fast-paced startup, and collaborate across Product Data, Risk Data, and Growth Data teams to turn