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Marketing Data Science Jobs — 67 Open Positions

Marketing data scientists apply machine learning, predictive modeling, and advanced statistics to marketing problems. These roles build propensity models, customer lifetime value predictions, churn forecasts, and recommendation engines. If you want to combine ML expertise with marketing domain knowledge, start here.

67 open positions
Avg. salary: $170K–$248K
Robinhood
OpenAI
OpenAIHybrid$293K–$515K242% above market
Rockstar North
Rockstar NorthOn-site$172K+46% above market
Calendly
Asana
AsanaOn-site
Replit
ReplitHybrid$210K–$350K137% above market
Liquid AI
Liquid AIRemote100% below market
SumUp
Wolt - English
Pipedrive
Pipedrive
OpenAI
OpenAI
OpenAIHybrid$230K–$325K135% above market
Reddit
Reddit
Robinhood
Twilio
Cloudflare
Attentive
OpenAI
OpenAIHybrid$198K–$220K77% above market
Asana
Airbnb
Wolt - English
Reddit
OpenAI
OpenAIOn-site$198K–$425K164% above market
Reddit
RedditOn-site
Cursor
Figma
Braze
Braze
Braze
Braze
Twilio
Twilio
Braze

Frequently Asked Questions

How is marketing data science different from general data science?

Marketing data science applies ML and statistical methods specifically to marketing problems: customer segmentation, LTV prediction, churn modeling, attribution, and campaign optimization. It requires domain knowledge of marketing channels and metrics.