Data Scientist
Ramp —San Francisco, CA
- $137,120 - $297,330 a year
- Full-time
- Hybrid work
- Mid-level
- SQL
- Home Health
- Travel reimbursement
- AD&D insurance
Associate Data Scientist
Hayden AI —San Francisco, CA
- $120,694 - $156,920 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Health insurance
- Dental insurance
Data Scientist, Underwriting
Parafin —San Francisco, CA
- $200,000 - $330,000 a year
- Full-time
- Hybrid work
- System design
- Mid-level
- Commuter assistance
- Paid parental leave
Business Data Scientist, YouTube Marketing
YouTube —San Bruno, CA
- $116,000 - $165,000 a year
- Full-time
- Mid-level
- SQL
- Analysis skills
5d
Data Scientist
Triumph —San Francisco, CA
- $200,000 - $400,000 a year
- Full-time
- Computer Science
- Office
- SQL
- Health insurance
- 401(k)
Data Scientist
Mastercard —San Francisco, CA
- $138,000 - $221,000 a year
- Online Application
- Computer Science
- Master's degree
- SQL
- Paid jury duty
- Health savings account
Data Scientist
Parafin —San Francisco, CA
- $200,000 - $330,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Commuter assistance
- Paid parental leave
Data Scientist
Pinterest —San Francisco, CA
- $101,382 - $209,296 a year
- Remote
- Computer science
- Computer Science
- Bachelor's degree
Data Scientist
Twitch —San Francisco, CA
- $136,000 - $212,800 a year
- Computer science
- Computer Science
- Mid-level
- AD&D insurance
- Disability insurance
Data Scientist
Middesk —San Francisco, CA
- $175,000 - $210,000 a year
- Full-time
- Hybrid work
- 5 years
- System design
- Office
Data Scientist
Finrise —Burlingame, CA
- Email
- Mid-level
- Math
- Bachelor's degree
Data Scientist
Tarro —San Mateo, CA
- $180,000 - $250,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 3 years
Data Scientist II - AMZ27351.1
Amazon Web Services, Inc. - A97 —San Francisco, CA
- $175,425 - $212,800 a year
- Multiple hires
- Computer Science
- Mid-level
- Office
Data Scientist
Google —San Bruno, CA
- $164,450 - $211,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- SQL
5d
Data Scientist
Teknatio —Menlo Park, CA
- Remote
- Computer science
- Computer Science
- System design
Data Scientist, Growth
Eight Sleep —San Francisco, CA
- Full-time
- Remote
- 5 years
- SQL
- Senior level
- Commuter assistance
- Paid parental leave
Data/AI Scientist II
Waymark —San Francisco, CA
- $98,000 - $164,000 a year
- Remote
- Background check
- Computer Science
- Mid-level
- Commuter assistance
- Paid parental leave
5d
Data Scientist (Growth)
Rox Data Corp —San Francisco, CA
- Full-time
- Computer Science
- Office
- SQL
- Health insurance
Data Scientist
Happyrobot Inc. —San Francisco, CA
- Full-time
- Hybrid work
- Mid-level
- SQL
- Analysis skills
- Health insurance
- Dental insurance
Data Scientist, Product
Harvey —San Francisco, CA
- $155,000 - $260,000 a year
- Full-time
- Hybrid work
- 5 years
- SQL
- Analysis skills
- Health insurance
- Dental insurance

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Data Scientist

Ramp
San Francisco, CA

Apply Now

Job Details

Full-time
$137,120 - $297,330 a year

Benefits

Travel reimbursement
AD&D insurance
Disability insurance
Health insurance
Dental insurance
Paid time off
Parental leave
Employee assistance program
Vision insurance
401(k) matching
Pet insurance

Qualifications

Performance dashboard reports
Business intelligence report generation
Metrics Reporting
SQL
Scalability
Data science
Query management
Data analytics technologies

Full Job Description

About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

About the Role

We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.

What You’ll Do

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

What You Need

Minimum of 4 years of industry experience as a Data Scientist
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
Track record of shipping high quality products and features at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice-to-Haves

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

About Our Teams

Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.
Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.

Benefits available to all full-time Ramp employees (Global)

Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend

United States

100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation support to NYC or SF (as needed)

Canada

Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
Group Retirement Plan with employer match (RRSP + DPSP)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
Employee Assistance Program and virtual care through Lumino Health

United Kingdom

Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

Ramp Applicant Privacy Notice

Compensation Range: $137,120 - $297,330

Apply Now

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