Data Scientist

Role Overview

As a Data Scientist at Evlo AI, you’ll turn complex datasets into predictive models and behavioral insights that directly inform product strategy and improve core business outcomes. You’ll partner with product managers and data engineers to design experimentation, build reliable inference pipelines, and define the metrics that measure success for key product features.

Responsibilities

• Design and execute end-to-end A/B tests and multivariate experiments to validate product rollouts and measure user impact
• Build and deploy predictive models using Python, scikit-learn, and XGBoost for:
  • classification
  • forecasting
  • clustering
• Create scalable SQL queries and PySpark pipelines to extract, clean, and transform multi-terabyte datasets from cloud data warehouses (e.g., Snowflake)
• Define, track, and analyze core product metrics and translate findings into executive dashboards using Tableau or Looker
• Collaborate with ML engineers to move models from prototypes into production API endpoints and monitor long-term performance
• Apply advanced statistical techniques (e.g., causal inference and regression) to understand user behavior and retention

Requirements

• 3–6 years experience as a Data Scientist or Quantitative Analyst in a product-focused technology environment
• Strong proficiency in Python or R for statistical computing, data manipulation, and exploratory analysis
• Advanced SQL experience with large-scale distributed databases and cloud data warehouses
• Proven expertise in experimental design, hypothesis testing, power analysis, and causal inference
• Master’s or PhD in a highly quantitative field (Statistics, Applied Math, CS, Economics, etc.)

Nice to Have

• MLOps experience (e.g., MLflow, Kubeflow)
• Big data processing experience (Spark/Hadoop)
• Experience deploying models in cloud environments (e.g., AWS)