Data Scientist – Machine Learning – RealAdvisor

Remote Full TimeFrance (Remote)Real Advisor

Role Overview

We are looking for a business-oriented Data Scientist to join RealAdvisor. You will consolidate and analyze diverse data sources, build ML models, and translate insights into concrete product and marketing actions.

What You Will Do

Consolidate and aggregate data, perform product analytics, design and run experiments, build ML models, analyze marketing performance, and translate analysis into action.

Why It Might Be a Fit

You will work cross-functionally with product, marketing, engineering, and country managers to standardize metrics and training, and maintain data quality.

Requirements

  • 3+ years in data science, analytics
  • Python and SQL skills
  • Experience consolidating diverse data sources and building reliable analytical pipelines
  • Experiment design and causal inference methods
  • Practical ML experience and model evaluation
  • Product analytics tools experience
  • Ability to build dashboards and present insights clearly
  • Business mindset: translates technical results into measurable business outcomes
  • Proactive: takes initiative, owns end-to-end delivery, and can work with limited supervision

To apply for this job please visit jobs.workable.com.

RevOps Careers Favicon

Get the latest RevOps jobs every Monday.

No noise. Just the best GTM roles, curated weekly.

We don’t spam! Read our privacy policy for more info.

Get the full Role Intel for this job

ReLoop.me’s full Role Intel shows the real level behind the title, an estimated pay range, a must-have checklist and the questions to ask before you apply.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!