Senior Data Scientist, Growth
Core
Design, build, and deploy production-grade machine learning models to drive marketing ROI and optimize adtech workflows.
Role type
Senior IC machine learning engineer (marketing optimization)
Builds
Autonomous decision-making systems, ML models for media optimization, creative automation, and value optimization pipelines.
Domain
AdTech / Programmatic Advertising / Marketing Analytics
Deliverable
production ML models
Required skills
Python, PySpark, SQL, cloud environments (GCP/AWS/Azure), modern ML frameworks (HuggingFace/TensorFlow), predictive modeling, optimization algorithms, LLM capabilities, statistical analysis, A/B test design, MLOps practices.
Preferred skills
Applied machine learning in AdTech, algorithmic budget pacing, LTV prediction pipelines, AI-driven media optimization systems, Gen AI approaches.
Responsibilities
Develop and iterate advanced ML models for core adtech domains; Design and implement ML models for Media Optimization and operationalize them; Contribute to Creative Automation by building predictive AI models; Design ML models for Value Optimization to isolate high-value customers; Adhere to MLOps practices focusing on experiment tracking and model reliability; Rapidly prototype innovative ML solutions including Gen AI and integrate them into multi-agent systems; Collaborate with Product, Engineering, and Marketing to execute A/B testing in high-noise environments.
Seniority
Senior, hands-on IC
