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Machine Learning Scientist 5 - Localization

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Onsite

Machine Learning Scientist 5 - Localization

Ladders

Machine Learning Scientist 5 - Localization

Skills

SQL QueriesPythonData ScienceRMachine Learning

2 months ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

27 August 2026

What they need


For our client, we are seeking a Machine Learning Scientist 5 - Localization to join the team of a leader in the Hospitality & Recreation space.

In this role, you will help shape machine learning research and measurement strategies that improve localized experiences for a global member base. You will partner closely with product managers and engineers to translate causal inference and model insights into actionable roadmaps. This position requires strong analytical rigor, business judgment, and the ability to communicate technical findings across the organization.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $150,000 – $180,000 annually

Responsibilities

  • Act as a strategic partner to guide localization algorithm development
  • Define and execute roadmaps for measuring and improving member impact
  • Collaborate with product managers and engineers to scale findings
  • Present research insights to various levels within the company
  • Become a regional expert in localization data science and engineering

Qualifications

  • 4+ years of experience in causal inference and machine learning applications
  • Proficient in R, Python, SQL, and machine learning evaluation methods
  • Strong business acumen and communication skills
  • Experience leading research with complexity and technical rigor
  • Comfortable working independently in ambiguous environments

Benefits

  • Comprehensive health plans
  • Mental health support
  • 401(k) retirement plan with employer match
  • Stock option program
  • Flexible time off for full-time salaried employees
  • Paid leave of absence programs
  • Accrue 35 days annually for paid time off for full-time hourly employees

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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