A modern AI platform company is seeking a Forward Deployed Data Scientist to work with AI Decisioning customers and internal teams. This role emphasizes both customer-facing and analytical tasks, requiring expertise in data analysis using Python and SQL. The ideal candidate will support AI-driven marketing campaigns by diagnosing model behavior and conducting deep dives into customer data. Strong communication skills are essential to effectively convey insights to both technical and non-technical stakeholders. Competitive compensation ranges from $140,000 to $220,000 annually.
Qualifications
Experience with Python libraries such as Polars and Pandas in Jupyter notebooks.
Ability to write and interpret SQL for data analysis.
High-level understanding of ML modeling, including features and hyperparameters.
Strong communication skills to convey technical concepts to non-technical stakeholders.
Customer-oriented mindset with a strong sense of ownership.
Responsibilities
Own diagnostics, insights, and tuning for AI Decisioning campaigns.
Work deeply with data in notebooks and customer data warehouses.
Build lightweight tooling that enables scale in analyses.
Communicate ML concepts clearly to non-technical stakeholders.
Skills
Deep exploratory data analysis in Python (Polars/Pandas)
SQL for customer warehouse analysis
ML modeling concepts
Excellent communication skills
Customer-first attitude
Job description
A modern AI platform company is seeking a Forward Deployed Data Scientist to work with AI Decisioning customers and internal teams. This role emphasizes both customer-facing and analytical tasks, requiring expertise in data analysis using Python and SQL. The ideal candidate will support AI-driven marketing campaigns by diagnosing model behavior and conducting deep dives into customer data. Strong communication skills are essential to effectively convey insights to both technical and non-technical stakeholders. Competitive compensation ranges from $140,000 to $220,000 annually.