Socure

Senior Data Scientist, Client Analysis

Socure

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $160,000 - $180,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPySparkPythonSQL

About the role

  • Analyze massive customer data sets, derive actionable insights, and explain model performance and optimal risk management policies
  • Act as a Data Science advocate: deeply understand Socure’s solutions and customers’ risk challenges to educate and influence
  • Create convincing data stories to showcase how Socure can eliminate identity fraud, streamline end-user experience, and support holistic risk management
  • Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product
  • Create tools and automated workflows to improve speed, accuracy, and reproducibility of analyses
  • Partner closely with GTM teams (Sales, Solution Consultants, Account Managers, Technical Program Managers) to identify upsell and product optimization opportunities
  • Build ML models when advantageous to explore approaches beyond established production models
  • Support pre- and post-sales cycles to drive revenue generation by demonstrating product value to potential and existing customers

Requirements

  • Degree in a quantitative field or equivalent work experience (advanced degree preferred)
  • 5+ years experience in data science, data analysis, or analytics engineering
  • Extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
  • 5+ years experience writing clean, performant code in Python and PySpark and working with massive real-life datasets
  • Experience querying relational databases with SQL
  • Experience with cloud tools and technologies in AWS, Azure, Databricks, or GCP
  • Ability to tell compelling stories with data (dashboarding, interactive data stories, actionable presentations)
  • Ability to explain complex ML/AI algorithms and analyses to non-technical audiences
  • Excellent verbal and written communication and presentation skills
  • Comfortable working in a remote startup environment and self-directed
  • Experience in identity verification and fraud prevention (strongly preferred)
  • Eligible to work in the United States indefinitely without employer sponsorship
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