Wisetack

San Francisco

51-200 employees

Buy now, pay later for in-person services. Our technology adds financing to any user experience and software platform.

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Capital Markets Analytics Lead

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Lead / Senior Data Scientist

Wisetack

Lead / Senior Data Scientist

Data Science

This job is no longer open

Company Overview

At Wisetack, we’re building financially-responsible consumer lending products that help service-based businesses thrive.

Founded in 2018 by a team of experienced fintech veterans whose prior experience includes PayPal, LinkedIn, Lending Club, Affirm, Amazon, and other leading companies, Wisetack is a well-funded early stage startup with strong early customer traction. We’re backed by leading VCs, including Insight Partners, Greylock, and Bain Capital Ventures, investors in Airbnb, LinkedIn, Instagram, Dropbox, and many more.

We raised a $45M Series B last year and since then, we've invested in our people and technology and signed a slew of new partnerships. This is a fun stage in any company's lifecycle where we've got the core foundation built, a healthy growth rate, and a clear path to success, but you'd still be joining early enough to help shape the future of the company.

Business Insider recently named us one of the 70 most promising startups changing the world of finance and LendIt just named us as the winner in the Best Emerging Lending Platform category for their Fintech Industry Awards. The external recognition is great, but we're equally -- if not more -- happy with the recognition from our customers. Our current NPS rating is a sky-high 78. We're proud that we're building a product that customers love.

As a Lead / Senior Data Scientist you will use your quantitative skill set, obsession and empathy towards customers, and collaborative spirit to work closely with partners across Wisetack’s business to provide data driven insights that take our product and business to the next level. We will level this role to Lead or Senior depending on experience.

Your analyses will allow us to deeply understand our customers’ behaviors and needs, identify drivers of our business, and uncover opportunities to grow and engage with our customers. Ideally you are highly skilled in experimentation, causal inference, and data science modeling, with a specialization in one of these domains.

Job responsibilities

Act as a thought partner to senior leaders to prioritize and scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals
Generate new hypotheses and business questions using a deep understanding of our data, our customers and our business, then design experiments, analyses, and data science models that drive product engagement, customer satisfaction, and growth
Provide technical guidance and mentorship on solution design as well as lead code/design reviews
Drive our maturity and scale through architecture, data modeling, and analytic tool/platform recommendations

Candidate requirements

M.S. or Bachelors degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
To qualify for the Senior level role, you must have at least 3 years of hands on experience optimizing product engagement, marketing spend, business development activities and/or customer service though machine learning models and/or experimentation and causal inference, ideally at a FinTech - if you have additional experience, we will level this role to Lead
Advanced SQL expertise
Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python
Strong sense of ownership to understand and communicate the actionable insights and recommendations that will drive strategic improvements, product engagement, customer satisfaction, and growth
Strong communication skills, with the ability to collaborate with various teams across an organization as well as present data insights and recommendations to executives and non-technical audiences
Experience working with data sets that can be thin, meaning reaching statistical significance can be difficult and creative analytic approaches might be needed
Can initiate and drive projects to completion independently
Comfortable in an entrepreneurial environment, with its fast pace and fluid nature - delivering results with a small, lean team

Wisetack is proud to be a remote-first company! Employees in remote roles have the option of working remotely or from the Wisetack office in SF, and may occasionally travel to the Wisetack office or elsewhere for required meetings or team-building events.

Spend a little time on our About Us page researching our team and our values, and check out our Press page and our blog for more background on what we do. If you think this might be a fit, we’d love to hear from you!

This job is no longer open