Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
Snap Finance is looking to strengthen its dynamic, growing analytics department. We are seeking a dedicated Data Scientist with a passion for statistics, experimentation, and solving real-world problems. The ideal candidate is an analytically driven problem solver who can translate data into actionable business insights. In this role, you will partner with Marketing to support customer acquisition, engagement, retention, and lifetime value initiatives across multiple financial products. You'll leverage data science, experimentation, customer segmentation, personalization, and marketing measurement techniques to help drive growth and improve customer experiences.
How You'll Make an Impact
Customer Insights & Personalization
- Analyze customer, campaign, and behavioral data to uncover opportunities for customer acquisition, engagement, retention, and growth.
- Support the development of audience segments and personalization models that enhance customer experiences across digital, paid media, SEO, email, SMS, push notifications, in-app messaging, and direct mail.
- Partner with marketing teams to better understand customer behavior and identify opportunities to improve campaign performance.
Marketing Measurement & Reporting
- Build and enhance attribution models that measure the incremental impact of marketing activities and customer touchpoints across channels and financial products.
- Analyze cross-channel marketing performance to identify opportunities for improved targeting, personalization, and return on marketing investment.
- Communicate attribution findings and performance insights in a clear, actionable manner that informs marketing strategy and business decisions.
Experimentation & Optimization
- Assist in designing, executing, and analyzing experiments to measure the effectiveness of marketing campaigns, customer journeys, and personalization efforts.
- Evaluate test results and provide recommendations that improve customer acquisition, engagement, retention, and marketing efficiency.
- Contribute to a culture of continuous learning and optimization through data-driven decision-making.
Data Science & Analytics
- Apply statistical, predictive, and analytical techniques to solve marketing and customer-focused business problems.
- Build, validate, and refine models that support audience targeting, personalization, customer growth, and retention initiatives.
- Work with large customer and marketing datasets to generate insights and support business decisions.
Collaboration & Stakeholder Partnership
- Collaborate closely with stakeholders across Marketing, Engineering, Product, and Analytics to understand business needs and deliver meaningful insights.
- Communicate analytical findings and recommendations in a way that is accessible to both technical and non-technical audiences.
- Build strong working relationships and develop a deep understanding of the business, customers, and marketing goals.
AI & Innovation
- Leverage AI-powered tools to improve productivity, accelerate analysis, support insight generation, and enhance marketing effectiveness.
- Explore new analytical approaches and emerging technologies while applying sound business judgment and analytical rigor.
Growth & Development
- We are committed to investing in your growth and development, providing opportunities to expand your technical, analytical, and business skills as you advance your career.
- As our team and business continue to grow, you'll have the opportunity to take on increasingly complex challenges, broaden your impact, and help shape the future across our organization.
What You'll Need to Succeed
- 2–3 years of experience working in a data science position or performing work that aligns with the required skills in another role.
- M.S. in a quantitative field such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or another related field.
- B.S. in one of the fields described above will be considered if the candidate's skill set and experience are robust.
- A skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis requests, and generates insightful deep dives.
- Familiarity with and experience in consumer finance, digital marketing, SEO, and/or direct-to-consumer marketing.
- Classification methods such as logistic regression, decision trees, KNN, and random forests.
- Regression methods such as linear regression, nonlinear regression, and boosted regression trees.
- Clustering methods such as k-means, hierarchical clustering, and mixture modeling.
- Ability to generate robust statistical analyses, including power analysis, hypothesis testing, experimental design, hierarchical modeling, and Bayesian and frequentist methods.
- Demonstrated ability to take data science projects from development to production.
- Expert SQL skills and the ability to extract data from non-relational data sources.
- Expertise in one or more programming languages such as Python or R.
- Advanced understanding and professional experience with the following methods:
What Would Make You Stand Out
- Experience supporting customer growth, CRM, or lifecycle marketing initiatives, including audience segmentation, personalization, and campaign measurement across channels such as email, SMS, push notifications, paid media, or direct mail.
- Hands-on experience designing and analyzing A/B tests and marketing experiments, with the ability to translate results into actionable recommendations that improve acquisition, engagement, or retention.
- Familiarity with AI and machine learning applications in marketing, such as customer propensity modeling, personalization, forecasting, or using AI-powered tools to accelerate analysis and insight generation.
#LI-Remote
Why Join Us:
Generous paid time off
Competitive medical, dental & vision coverage
401K with company match for US
Company-paid life insurance
Company-paid short-term and long-term disability
Access to mental health and wellness resources
Company-paid volunteer time to do good in your community
Legal coverage and other supplemental options
A value-based culture where growth opportunities are endless
More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice
Skills Required
- 2-3 years of experience in a data science role or equivalent
- M.S. in a quantitative field (B.S. considered with strong experience)
- Expert SQL skills and ability to extract data from non-relational data sources
- Expertise in one or more programming languages such as Python or R
- Experience taking data science projects from development to production
- Experience with classification methods (logistic regression, decision trees, KNN, random forests)
- Experience with regression methods (linear, nonlinear, boosted regression trees)
- Experience with clustering methods (k-means, hierarchical, mixture modeling)
- Ability to perform robust statistical analyses (power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods)
- Familiarity with consumer finance, digital marketing, SEO, and direct-to-consumer marketing
- Produces regular reporting, responds to ad hoc analyses, and delivers deep dives for stakeholders
- Advanced understanding and professional experience with statistical and predictive analytics methods
- Experience supporting customer growth, CRM, lifecycle marketing, audience segmentation, personalization, and cross-channel campaign measurement
- Hands-on experience designing and analyzing A/B tests and marketing experiments
- Familiarity with AI and machine learning applications in marketing (propensity modeling, personalization, forecasting, AI tools)
Snap Finance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snap Finance and has not been reviewed or approved by Snap Finance.
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Healthcare Strength — Health coverage and protection programs include medical, dental, vision, and company‑paid life, AD&D, and short‑ and long‑term disability, with mental‑health support highlighted in some locations. Benefits materials also emphasize additional wellness resources and private insurance options in certain geographies.
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Leave & Time Off Breadth — Time off is described as generous and flexible, with options like flexible PTO, paid holidays, and location‑specific extras such as an added birthday day and holiday purchase schemes. Enhanced paid parental, adoption, and shared parental leave for eligible employees further expands time‑off support.
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Retirement Support — Retirement programs include a 401(k) with company match and a pension scheme with employer contributions in the UK. These offerings signal structured long‑term savings support across regions.
Snap Finance Insights
What We Do
Snap Finance is a rapidly growing digital-finance company that specializes in providing consumer financing and rent-to-own purchase options. This company is technology driven; the IT platform is the backbone for running our operations and is critical to driving cost efficiency. With over 10 years of experience in the financial industry, Snap provides merchandise financing to brick and mortar as well as e-commerce merchants. The Snap lease-purchase agreement is an innovative financial product which gives the 40% of consumers with poor credit an alternative to payday loans and other high-risk financial products to acquire needed or desired merchandise. Snap Finance secured the largest bank revolving credit facility ever for a private consumer lease-to-own company. The credit facility from BMO Harris Bank will enable Snap Finance to service more than $1 billion in lease-to-own finance agreements.
