Senior Data Scientist | Growth at Ramp

San Francisco, California, United States

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$165,800 – $228,100Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Minimum of 5 years of industry experience as a Data Scientist
Strong Python experience (numpy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques to marketing-specific problems
Strong knowledge of SQL (preferably Snowflake, BigQuery, or Redshift)
Proven leadership and a track record of shipping improvements with growth and product organizations
Strong perspective on marketing

Responsibilities

Employ statistical, machine learning, and econometric models on large datasets to evaluate channel performance and discern the causal impact of marketing and sales campaigns on a complex and nebulous enterprise sales cycle
Build attribution models and investment frameworks to inform Ramp’s future brand channel investments, allowing Ramp’s finance and marketing teams to scale efficiently and understand which message resonates with each audience segment at each point in the customer journey
Partner closely with Martech, Business Systems, and Growth Engineering teams to augment and leverage data across first and third-party sources, ensuring we’ve added as much context as possible to every decision we make
Drive experimental design and implementation on new channels and surface areas of Ramp, ensuring we can iterate quickly and cost-effectively, especially on marketing spend designed to build awareness, consideration, and brand equity
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
Help define the analytical frameworks and strategic roadmaps for how Ramp’s growth teams optimize and scale our marketing investments across all brand channels
Partner closely with marketing, finance, and engineering counterparts across experimental design, statistical modeling, implementation, execution, and analysis
Co-own the allocation of millions of dollars per month in brand marketing spend

Skills

Key technologies and capabilities for this role

Data AnalysisMarketing AnalyticsA/B TestingSQLPythonStatisticsMachine LearningExperimentationStrategic Roadmaps

Questions & Answers

Common questions about this position

What is the salary range for the Senior Data Scientist role at Ramp?

The salary range is $165.8K - $228.1K.

Is this position remote or hybrid?

The position is hybrid.

What key skills are required for this Senior Data Scientist position?

The role requires expertise in statistical, machine learning, and econometric models on large datasets, building attribution models and investment frameworks, and partnering with Martech, Business Systems, and Growth Engineering teams.

What is the company culture like at Ramp?

Ramp is rethinking how modern finance teams function in the age of AI, investing in bold people to build the future, with a team of talented leaders from top financial services, fintech, and technology companies.

What makes a strong candidate for this Growth Data Scientist role?

Strong candidates will have experience leading analytical frameworks and strategic roadmaps for growth teams, partnering across marketing, finance, and engineering, and handling experimental design, statistical modeling, and analysis for marketing investments.

Ramp

Corporate card and spend management platform

About Ramp

Ramp provides a corporate card and spend management platform that helps businesses track expenses and save money. The platform allows finance teams to manage corporate cards, expense reports, and bill payments in one place, and it integrates with tools like Slack for added convenience. Ramp serves a wide range of clients, from large enterprises to creative agencies, and aims to reduce overall expenses through its comprehensive financial tools. Unlike competitors such as Amex and Brex, Ramp generates revenue through interchange fees on card transactions and subscription fees for advanced features. The company's goal is to streamline financial operations for businesses and help them achieve significant cost savings.

New York City, New YorkHeadquarters

2019Year Founded

$1,096.3MTotal Funding

SERIES_DCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Competitive salaries: You never have to wonder how your pay compares. Our generous comp reflects our belief that you’ll take Ramp to the next level.

Comprehensive health plans: US-based employees get full medical, dental, and vision insurance coverage. Everyone gets a monthly stipend for personal wellness.

Professional development: Take advantage of our annual education stipends to stay on top of your personal growth.

Unlimited PTO: Flexible vacation days give you the time to step away, unwind, and recharge.

Risks

Increased competition from fintech startups could challenge Ramp's market position.

Economic downturns may reduce business spending, affecting Ramp's revenue streams.

The volatile travel industry poses risks to Ramp's new travel booking services.

Differentiation

Ramp integrates with popular tools like Slack and Workday for seamless financial operations.

The platform offers advanced accounting automations, reducing manual work for finance teams.

Ramp's use of stablecoins and modern financial instruments sets it apart from competitors.

Upsides

Ramp's integration with Workday enhances real-time data syncing and accounting automation.

The partnership with Priceline expands Ramp's services into the growing business travel sector.

Ramp's recent $750 million funding boosts its capacity for innovation and market expansion.

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