Data Scientist, Customer Analytics

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. 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.
• #LI-Remote

• 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/Perks:

• 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

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. Innovation is an important part of Experian's DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.