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RampRampNew York, NY

Senior Data Scientist | Growth

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.

166k – 228k/yr
Hybrid5+ YOEData Science

About the role

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.

Skills

PythonSQLSnowflakeBigQueryRedshiftpandasNumPyscikit-learnMachine LearningEconometrics

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