Data Scientist, Finance
Join Ramp as a Data Scientist to build financial insights and influence business decisions in a fast-paced startup environment.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 8 hours ago
AI in the day-to-day
Strong AI proficiency as a lever to quickly adopt new skills and subject matter.
Requirements
- Experience
- 3+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Data Scientist will engage in full stack development, focusing on building models that transform and expose data for stakeholders and production systems. Proficiency in AI, SQL, and familiarity with financial metrics are essential, as the position requires collaboration with finance and data engineering teams to derive actionable insights. This opportunity is ideal for candidates with at least three years of experience in data science or software engineering, particularly those who thrive in fast-paced startup environments. Ramp's culture emphasizes ownership and innovation, making it a fitting place for builders who want to influence financial decision-making.
Joblaze insights
Quick facts
- Is the Data Scientist, Finance role remote?
- It's hybrid — Ramp expects some on-site time in New York, NY (HQ).
- How much experience is required?
- At least 3 years of relevant experience for this Data Scientist, Finance role.
- Where is the role based?
- Ramp is hiring for this position in New York, NY (HQ).
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Fivetran, Hightouch, Looker, SQL, Snowflake.
- What seniority level is this role?
- Ramp targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Scientist, Finance role at Ramp.
From the original posting
The problems are high-stakes, data-dense, and unforgiving.
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 Finance teams (e.g. GTM Finance, StratFin) to develop financial insights and influence business decisions
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 3 years of industry experience in Data Science / Software Engineering / Finance
Strong AI proficiency as a lever to quickly adopt new skills and subject matter
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
Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
Nice-to-Haves
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
Strong intuition on business strategy and customer empathy (ROI, growth channels, sales cycles, customer incentives)
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Experience partnering with finance teams or within the payments and financial technology space
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
Fertility HRA (up to $10,000 per year)
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Canada
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
United Kingdom
Private medical insurance through Freedom Elite
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