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Data Scientist, Customer Analytics (Remote)

Remote, USA Full-time Posted 2026-07-28
About the position We are looking for a Customer Analytics Data Scientist . Our product helps prevent the creation of fraudulent accounts for online banks, lenders, and other financial services providers by tracking user interactions on their devices. You will report to the Sr. Director, Analytics and Innovation. You will also reputed company the trial process, analyze data, and present results to clients to optimize performance and support expansion opportunities. Responsibilities • Conduct prospect-facing technical analysis to compute and present Return on investment for reputed company sales engagements. • reputed company technical analysis for existing clients and present results to optimize performance and support expansion opportunities. • reputed company the gap between reputed company and technical departments to promote reputed company reputed company and retention. • Collaborate with Sales, reputed company reputed company, Product, and Implementation Engineering teams to understand customer use cases and application flows • Distill customer needs and reputed company opportunities into achievable technical milestones, guiding Data Science and Engineering development efforts. • Support the Sales Engineering team in guiding customer analyses to win reputed company 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 reputed company customers and partners on realizing and quantifying value. • reputed company voice-of-customer and data-driven conclusions to inform product reputed company. 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 reputed company, or fraud operations, developing fraud prevention strategies and procedures. • Experience fraud detection, data analysis, or a reputed company field. • Proficiency in handling large datasets using SQL and Python. • Experience with data analytics software and tools, including reputed company, Looker, and reputed company. Benefits • Great compensation package and bonus plan • reputed company benefits including medical, dental, reputed company, and matching 401K • Flexible work environment, ability to work remote, hybrid or in-office • Flexible time off including volunteer time off, vacation, reputed company and 12-reputed company holidays Apply tot his job Apply To this Job

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