Own advanced analytics pipelines in Databricks and BigQuery that support product analytics, forecasting, and AI use cases
Build, train, and deploy predictive models to forecast performance and uncover product insights
Apply AI and LLMs to create automation and natural-language analytics
Integrate data and models via APIs to connect analytics, AI services, and internal tools
Partner with Product and Analytics teams to turn product questions into scalable analytical solutions
Validate and monitor models and data outputs to ensure accuracy, reliability, and ongoing performance
Prototype new AI-driven approaches that improve insight generation and decision-making
Communicate clear, actionable insights to both technical and non-technical stakeholders

Requirements

3-5 years of experience in product analytics
Advanced SQL and Python for analytics, modeling, and automation
Strong experience with Databricks and BigQuery
Data science expertise in predictive modeling and ML
Experience deploying models into production workflows
Hands-on experience with APIs and AI services
Applied knowledge of LLMs and agent-based AI
Practical experience applying AI techniques (e.g. anomaly detection, forecasting, natural language processing/summarization)
Deep curiosity and hands-on passion for AI

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

advanced SQLPythonpredictive modelingmachine learningdata integrationAPI developmentanomaly detectionnatural language processingforecastingautomation

Soft Skills

communicationcollaborationproblem-solvingcuriositypassion for AI