Data Scientist

ZoomSan Jose, CA
Hybrid

About The Position

You will build intelligent systems that turn product data into growth insights. Working with advanced modeling and automation, you will scale predictive analytics across products. Your work drives smarter decisions that accelerate customer growth and retention. About the Team We deliver insights that power revenue growth. Our team works across Product, Sales, and Engineering to turn data into action. We help the business understand and predict customer behavior.

Requirements

  • Demonstrate strong proficiency in SQL and Python for data modeling and analysis.
  • Apply experience building and deploying machine learning models in production environments.
  • Use statistical and experimental methods to analyze and interpret product performance.
  • Collaborate effectively with cross-functional teams to translate data insights into business impact.
  • Manage model lifecycle processes, including monitoring, retraining, and performance optimization.
  • Leverage experience with MLOps tools such as MLflow, SageMaker, or Vertex AI.
  • Utilize data transformation and observability tools like dbt, Snowflake, or Great Expectations
  • Bring equivalent practical experience in data science, analytics, or related quantitative fields.

Responsibilities

  • Designing scalable data models and predictive systems that inform customer growth strategies.
  • Partnering with Product and Engineering teams to ensure reliable data collection and model deployment.
  • Building automated pipelines and monitoring frameworks to maintain model accuracy and performance.
  • Translating analytical findings into clear recommendations for business and product decisions.
  • Ensuring data quality and consistency across telemetry and analytics systems.

Benefits

  • Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
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