Data Scientist, Customer Analytics (Remote)

3C Deutschland GmbH; United States; Remote; USD 100,000 - 175,000; Full time

Job summary

A leading company in data and technology is seeking a Customer Analytics Data Scientist to oversee trial processes and analyze data for fraud prevention. This remote role involves collaboration with various teams to optimize performance and support expansion opportunities, offering a competitive salary and benefits.

Benefits

Flexible Time Off: 20 Days

Competitive compensation package

Bonus plan

Core benefits (medical, dental, vision, matching 401K)

Flexible work environment (remote, hybrid, or in-office)

Qualifications

• 3+ years of experience in fraud management or related fields.
• Proficiency in handling large datasets using SQL and Python.
• Experience in developing fraud prevention strategies.

Responsibilities

• Conduct prospect-facing technical analysis to compute and present ROI.
• Collaborate with Sales and Client Success teams to understand customer use cases.
• Create enablement materials to coach customers on realizing value.

Skills

Data Analysis

Fraud Detection

SQL

Python

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Looker

GitHub

Job description

Data Scientist, Customer Analytics (Remote)

• Full-time
• Employee Status: Regular
• Role Type: Home
• Job Posting - Salary Range: $100,649 - $174,459
• Department: Sales & Business Development
• Flexible Time Off: 20 Days
• Schedule: Full Time
• Shift: Day Shift

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 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 at experianplc.com

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.
• Present results confidently both internally and externally.
• Bachelor's degree in a quantitative field such as Finance, Statistics, Mathematics, Operations Research, Engineering, or Computer Science.
• 3+ years of experience in fraud management, fraud strategy, or fraud operations, developing fraud prevention strategies and procedures.
• Experience in fraud detection, data analysis, or related fields.
• Proficiency in handling large datasets using SQL and Python. Experience with data analytics software and tools, including Snowflake, Looker, and GitHub.

Our benefits include a competitive compensation package, bonus plan, core benefits (medical, dental, vision, matching 401K), flexible work environment (remote, hybrid, or in-office), and flexible time off including volunteer days, vacation, sick leave, and holidays.

Experian values its culture and people, emphasizing DEI, work/life balance, development, authenticity, collaboration, wellness, recognition, and volunteering. We are proud to be recognized as a top workplace globally, including awards from Fortune, Great Place To Work, and Glassdoor.

Our compensation reflects labor costs across U.S. markets. The base pay range is listed above, with individual pay determined by location, skills, experience, and education. The role is eligible for variable pay and comprehensive benefits.

Experian is an Equal Opportunity Employer committed to diversity and inclusion. We support accommodations for individuals with disabilities or special needs. Please contact us early if you require assistance.