Data Scientist
Core
Data Scientist gathering, cleaning, and analyzing marketing and business data to generate insights, predictive outputs, and actionable recommendations for executive decision-making.
Role type
Senior Data Scientist (Marketing Analytics & Generative AI)
Builds
Predictive models (attribution, CLV, churn), optimized BigQuery queries, automated data pipelines, and self-serve dashboards.
Domain
Marketing analytics, Consumer behavior, Generative AI
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, Machine Learning, Statistics, Data Wrangling, Data Visualization, Feature Engineering, A/B Testing
Preferred skills
Generative AI (Gemini, NotebookLM, Google Workspace Studio), BigQuery, Tableau, Power BI, Looker, R, Spark, Hadoop
Technologies
Python, SQL, BigQuery, Tableau, Power BI, Looker, TensorFlow, Spark, Hadoop, GCP, SAS, Excel, Google Sheets, Google Apps Script
Responsibilities
Clean, combine, and prepare internal and external marketing data; Build, evaluate, and deploy predictive models for customer lifetime value, churn, and trend analysis; Create and maintain optimized BigQuery queries and manage complex datasets; Develop self-serve dashboards in Tableau and translate models into actionable insights; Guide marketing organizations in adopting generative AI tools (Gemini, NotebookLM); Design and present customized AI bots for tasks like copywriting and campaign analysis; Automate cross-application workflows using Google Apps Script; Conduct A/B testing and experiments to validate hypotheses; Present findings through clear dashboards, reports, and visualizations.
Seniority
Mid-to-Senior, hands-on IC