Data Scientist, Customer Analytics

Experian

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $100,649 - $174,459 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • Conduct prospect-facing technical analysis to compute and present Return on investment for all sales engagements.
  • Perform technical analysis for existing clients and present results to optimize performance and support expansion opportunities.
  • Bridge the gap between revenue and technical departments to promote revenue generation and retention.
  • Collaborate with Sales, Client Success, Product, and Implementation Engineering teams to understand customer use cases and application flows.
  • Distill customer needs and revenue opportunities into achievable technical milestones, guiding Data Science and Engineering development efforts.
  • Support the Sales Engineering team in guiding customer analyses to win proof of value trials, convert prospects to clients, and expand customer usage.
  • Create enablement materials, including best practices, reference guides, FAQs, video content, and analysis walk-throughs, to coach customers and partners on realizing and quantifying value.
  • Share voice-of-customer and data-driven conclusions to inform product strategy.

Requirements

  • Comfortable presenting results internally and externally.
  • Bachelor's degree in a quantitative field such as Finance, Statistics, Mathematics, Operations Research, Engineering, Computer Science.
  • 3+ years of experience in fraud management, fraud strategy, or fraud operations, developing fraud prevention strategies and procedures.
  • Experience fraud detection, data analysis, or a related field.
  • Proficiency in handling large datasets using SQL and Python.
  • Experience with data analytics software and tools, including Snowflake, Looker, and GitHub.
Benefits
  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythondata analysisfraud detectionfraud managementfraud strategydata analytics
Soft skills
presentation skillscollaborationcommunicationcustomer coaching