Job Posting – Salary Range: $97,718 – $169,377
Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Learn more at experianplc.com.
Job Description
Job Overview:
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 of 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.
You Will
- 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
- 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
Additional Information
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.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian’s DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.