Data Scientist, Customer Analytics (Remote)
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 oversee 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 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 Apply tot his job