Senior Product Data Scientist

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

MaintainX

WebsiteLinkedInAll Job Openings

51 - 200 employees

MaintainX is the world-leading mobile-first workflow management platform for industrial and frontline workers. We are a modern IoT-enabled cloud-based tool for maintenance, safety, and operations on equipment and facilities.

📋 Description

• Design and lead product experimentation programs (A/B tests, causal inference) that drive measurable improvements in product adoption and retention • Build and deploy ML models — GBMs, random forests, logistic regression — that turn product signals into actionable decisions for PMs and engineering leads • Partner cross-functionally with Product, Design, and Engineering to frame business problems as data problems and translate findings into decisions • Translate model outputs and experimental results into clear business narratives for senior stakeholders and executives • Establish best practices for experimentation and ML workflows

🎯 Requirements

• Senior Product Data Scientist or Senior Data Scientist title with 5–7 years of relevant experience • Hands-on experience with product experimentation — A/B testing, causal inference, statistical significance • Python proficiency including scikit-learn and MLflow • Experience building ML models (GBMs, random forest, linear/logistic regression) • Background in B2B SaaS or B2C SaaS • Strong cross-functional communication — you've worked directly with PMs, engineers, and designers, not just a sales or finance audience • Executive presence: you can turn a complex model output into a business recommendation a VP can act on.

🏖️ Benefits

• Competitive base + equity in a high-growth, post-Series D company • Day-1 benefits coverage — health, dental, vision • Unlimited PTO • $500 home office stipend · $1K annual L&D budget • Hybrid hubs in Montreal, Toronto, Raleigh, Miami, and Bay Area