Full-Time Data Scientist - Customer Analytics

Experian is hiring a remote Full-Time Data Scientist - Customer Analytics. The career level for this job opening is Experienced and is accepting Worldwide based applicants remotely. Read complete job description before applying.

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Experian

Job Title

Data Scientist - Customer Analytics

Posted

Career Level

Full-Time

Career Level

Experienced

Locations Accepted

Worldwide

Job Details

We are looking for a Customer Analytics Data Scientist to join our team.

Role Overview:

This role is crucial in overseeing the trial process, analyzing data, and presenting results to clients to optimize performance and support expansion opportunities.

Responsibilities:

  • 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.

Qualifications:

  • 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 in 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.
  • Comfortable presenting results internally and externally.

FAQs

What is the last date for applying to the job?

The deadline to apply for Full-Time Data Scientist - Customer Analytics at Experian is 18th of June 2025 . We consider jobs older than one month to have expired.

Which countries are accepted for this remote job?

This job accepts [ Worldwide ] applicants. .

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