Data Scientist, Customer Analytics (Remote)
Job title: Data Scientist, Customer Analytics (Remote) in USA at reputed company
Company: reputed company
Job description: Company Descriptionreputed company 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, reputed company, create marketing solutions, and reputed company deeper insights into the automotive market, reputed company using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.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. Our corporate headquarters are in Dublin, Ireland. Learn more atJob DescriptionWe 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 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, Client Success, 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 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 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.
- 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