Senior Data Scientist / ML Engineer

Design, build, and deploy ML models into production for a marketing analytics platform.

Responsibilities:

• Ship ML models to production: problem framing through monitoring and iteration
• Build predictive features (revenue forecasting, probabilistic attribution, audience segmentation, anomaly detection)
• Collaborate with Product/Engineering on how ML is surfaced to customers
• Build/maintain scalable ML infrastructure and pipelines with data engineering
• Establish best practices for model evaluation, versioning, monitoring

Requirements:

• 4+ years in data science or ML engineering with production track record
• Python and the core ML stack (gradient boosting, neural nets)
• Solid MLOps understanding (post-deployment behavior, not just notebooks)
• Cloud (AWS) and modern data infra (dbt, Snowflake, Airflow or similar)
• Strong statistical foundations; clear communicator; genuine AI-tool use
• English B1