Data Scientist (Client Analysis)

Socure

United States Posted September 27, 2026

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Remote Full-time Mid level
Salary Range

$150,000 - $185,000

Job Description

Join Socure, a leading provider of digital identity verification and fraud prevention solutions. As a Data Scientist (Client Analysis), you will analyze massive customer data sets, create compelling data stories, and partner closely with go-to-market teams to drive revenue generation. This remote position offers a competitive base salary, generous incentive bonus opportunity, and a comprehensive benefits package.

  • Analyser des ensembles de données clients massifs, proposer des recommandations exploitables et expliquer les performances de nos modèles.
  • Agir en tant qu'avocat de la science des données, comprendre profondément les solutions de Socure et les défis de risque des clients.
  • Créer des outils et des flux de travail automatisés pour améliorer la rapidité, l'exactitude et la reproductibilité de notre analyse.
  • You thrive in a remote startup work environment and are excellent at setting clear goals and holding yourself accountable
  • You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
  • You know how to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations)
  • You have experience querying relational databases with SQL
  • You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages
  • You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred
  • You have 2+ years experience in data science, data analysis, or analytics engineering
  • You know how to write clean, performant code in Python, and have 2+ years experience working with massive real-life datasets
  • You have experience in identity verification and fraud prevention (strongly preferred)
  • You are able to explain very complex algorithms such as ML/AI models, and analyses to non-technical audiences
  • You have experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCP
Required Skills
data science go-to-market legal advice machine learning SQL data analysis Python Amazon Web Services Azure Databricks Google Cloud Platform
How to apply

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