# Senior Data Scientist | Growth

**Company:** [Ramp](https://hotfix.jobs/companies/ramp)
**Location:** New York, NY, San Francisco, CA
**Role:** Data Science
**Salary:** $166k – $228k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, Snowflake, BigQuery, Redshift, pandas, NumPy, scikit-learn, Machine Learning, Econometrics
**Posted:** 2026-02-02

> Lead growth analytics by building statistical/ML models to evaluate marketing channel performance, attribution, and causal impact on enterprise sales. Partner cross-functionally to optimize multi-million dollar monthly spend.

## Job Description

## What You’ll Do
- Employ statistical, machine learning, and econometric models on large datasets to evaluate channel performance and discern causal impact of marketing and sales campaigns on enterprise sales cycle.
- Build attribution models and investment frameworks to inform future brand channel investments and understand audience resonance across customer journey.
- Partner with Martech, Business Systems, and Growth Engineering to augment data from first and third-party sources.
- Drive experimental design and implementation on new channels to iterate quickly and cost-effectively.
- Contribute to data team culture by influencing processes, tools, and systems for scalable decisions.

## What You Need
- Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with **minimum of 5 years** of industry experience as a Data Scientist.
- **Strong Python** experience (numpy, pandas, sklearn) for exploratory data analysis, predictive modeling, and ML applications to marketing problems.
- **Strong SQL** knowledge (preferably Snowflake, BigQuery, or Redshift).
- Proven leadership and track record of shipping improvements with growth and product organizations.
- Strong perspective on marketing experimentation lifecycle (hypothesis generation, experimental design, A/B testing).
- Deep familiarity with marketing attribution, martech, and modern privacy landscape.
- Ability to thrive in fast-paced startup environment.

## Nice-to-Haves
- Experience at a high-growth startup.
- Familiarity with B2B enterprise sales cycle metrics.
- Experience with modern data stack (Fivetran, Snowflake, dbt, Looker, Hex, Hightouch).
- Familiarity with data orchestration (Airflow, Dagster, Prefect).
- Strong perspective on data science engineering development cycle.

## Benefits (U.S.-based full-time employees)
- 100% medical, dental & vision insurance coverage.
- 401k with employer match.
- Flexible PTO.
- Fertility HRA (up to $10,000/year).
- Parental leave.
- Unlimited AI token usage.
- Pet insurance.
- Home-office equipment.
- Health and Wellness stipend.
- In-office perks.
- Intra-office travel budget.
- Relocation support to NYC or SF.

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