Senior Product Data Scientist - ML & Experimentation Leader

MaintainX (An Autodesk Company)

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

MaintainX in San Francisco is seeking a Senior Product Data Scientist to define and lead product experimentation programs, turning data into actionable product decisions for PMs and engineers. You will build ML models (GBMs, random forests, logistic regression), collaborate with Product, Design and Engineering, and present results to executives across teams.

This role helps shape how the Autodesk operating platform evolves, translating model outputs into strategies that boost adoption and

Qualifications

  • 5–7 years of relevant experience.
  • Hands-on product experimentation experience with A/B testing and causal inference.
  • Proficiency in Python and ML libraries including scikit-learn and MLflow.
  • Experience building ML models (GBMs, random forest, logistic/linear regression).
  • Background in B2B SaaS or B2C SaaS.

Responsibilities

  • Design and lead product experimentation programs (A/B tests, causal inference) to improve adoption and retention.
  • Build and deploy ML models to inform PMs and engineers.
  • Partner cross-functionally with Product, Design, and Engineering to translate data findings into decisions.
  • Translate model outputs and experiments into business narratives for executives.
  • Establish best practices for experimentation and ML workflows.

Skills

A/B testing
Causal inference
Python
scikit-learn
MLflow
SaaS knowledge

Tools

Databricks
Amplitude

Job description

MaintainX in San Francisco is seeking a Senior Product Data Scientist to define and lead product experimentation programs, turning data into actionable product decisions for PMs and engineers. You will build ML models (GBMs, random forests, logistic regression), collaborate with Product, Design and Engineering, and present results to executives across teams.

This role helps shape how the Autodesk operating platform evolves, translating model outputs into strategies that boost adoption and

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