Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Ramp is looking for someone to lead the future of growth by defining analytical frameworks and strategic roadmaps for optimizing and scaling marketing investments across all brand channels, ultimately co-owning the allocation of millions of dollars per month in brand marketing spend.

Requirements

• 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)
• Strong perspective on the marketing experimentation lifecycle (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices)
• Deep familiarity with the past, present, and future of marketing attribution, martech, and the modern privacy landscape
• Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hex / Hightouch or equivalents)
• Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
• Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)

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

Other

• Minimum of 5 years of industry experience as a Data Scientist
• Proven leadership and a track record of shipping improvements with growth and product organizations
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
• Experience at a high-growth startup
• Familiarity with B2B enterprise sales cycle metrics and processes