Data Scientist, Wisetack

$100-140k

+ Equity

SQL
Python
Tableau
R
dbt
Mid and Senior level
Remote in US
Wisetack

Provides buy-now-pay-later services

Open for applications

Wisetack

Provides buy-now-pay-later services

101-200 employees

FintechB2BFinancial ServicesSaaS

Open for applications

$100-140k

+ Equity

SQL
Python
Tableau
R
dbt
Mid and Senior level
Remote in US

101-200 employees

FintechB2BFinancial ServicesSaaS

Company mission

To build financial products that empower people.

Role

Who you are

  • We are looking for someone who not only possesses deep technical expertise but also has strong business acumen, enabling them to identify the most impactful solutions that align with our strategic goals
  • M.S. in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
  • 2+ years of experience as a Data Scientist with a total of 3+ years of professional experience
  • Familiarity with OLS and Logistic regression modeling, as well as familiarity with modern machine learning techniques such as gradient boosting and neural networks
  • 2+ years of experience with SQL
  • 2+ years of experience with either Python or R (We primarily use Python)
  • Demonstrated experience performing analyses that drive business decisions
  • Demonstrated experience either deploying ML models into production, or working with an engineering team to do so

Desirable

  • Experience with data transformation and ingestion tools (e.g. dbt, Dagster) especially through a command line interface
  • Experience in FinTech or Financial Service, in particular consumer lending, or a company that serves a large merchant-base
  • Experience developing dashboards in Tableau or similar

What the job involves

  • As a Data Scientist / Senior Data Scientist at Wisetack, you will play a pivotal role in shaping the future of our consumer lending product by driving data-driven decision-making across key areas, including credit risk, fraud, growth, and product.
  • Your work will be essential in designing, building, and deploying predictive and machine learning models, providing prescriptive recommendations, conducting thorough ad hoc analyses, and developing strategic heuristics to solve complex business challenges
  • You will have the autonomy to take ownership of problems and craft data-driven solutions that deliver tangible value to our stakeholders
  • Collaboration is key in this role.
  • You will work closely with cross-functional teams to ensure your solutions are seamlessly integrated into our products and workflows, directly contributing to our mission of building transparent, intuitive consumer lending products.
  • Your ability to communicate complex data insights in a clear and actionable manner will be critical to your success
  • Develop an understanding of different departments at Wisetack - primarily Fraud, Credit Risk, Product, and Growth - and come up with ideas for how predictive modeling / ML, experimentation, or analytics can be used to improve specific business processes
  • Develop data pipelines to operationalize predictive / ML models, in collaboration with our data engineering team
  • Monitor and improve predictive / ML models that have already been deployed
  • Present your work to stakeholders, including executive leadership, of varying degrees of technical expertise
  • Write clear, thorough documentation of your work, including your thought process, and future opportunities for improvement where applicable

Our take

The point-of-sale finance market is rapidly expanding, with well known unicorns such as Affirm and Klarna.

Whilst "buy now, pay later" options are becoming increasingly popular with online merchants, many in-person businesses still lack good options to offer their potential customers. Wisetack is finding its own niche by focusing on services such as plumbers, home renovators, and landscapers.

Wisetack's API-led solution embeds financing options within popular software platforms businesses are already using, making it easy for their customers to apply for financing within minutes.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Insights

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

18% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Mar 2024

$20.4m

LATE VC

Sep 2021

$45m

SERIES B

Total funding: $103.4m

Company benefits

  • Competitive equity packages
  • 401(k) plan
  • Comprehensive health plans
  • Flexible PTO
  • FSA/HSA
  • One Medical, Kindbody, Talkspace memberships
  • Learning and development stipends
  • Commuter benefits

Company values

  • Customers first - Everything starts with the customer. Solving customer problems is what makes us successful. We spend time with customers so we understand them and meet their needs. If we can’t tie something back to customers, we question whether it’s worth doing.
  • ‍Act. Fast.‍ - Get things done. Take initiative. Speed is paramount and a crucial advantage. Most decisions are small and reversible and should be quick. It’s OK to make a mistake and learn from it.
  • Ownership and accountability‍ - Be an owner. People who succeed here set ambitious goals and hold themselves accountable for hitting them, even if it means grinding through discomfort. They do what's right for the company and put the company and the team above oneself.
  • Pursue excellence‍ - Be great at what you do. Set a high bar for quality for yourself and for others and continuously push to raise the bar for delivering great work.
  • Deliberate and open communication‍ - Collaboration is what allows groups of people to accomplish extraordinary things. We have a globally distributed team, which raises the bar for how we work. We pay close attention to how we communicate, collaborate, and run meetings. These are the guidelines for how we engage, which we constantly strive to improve.
  • Operate with conviction‍ - We make decisions that are best for the company’s long-term success. When rooted in passion about our success, disagreeing makes us better. Bringing different perspectives and intellectual curiosity results in better outcomes. However, we don’t make decisions by consensus and we don’t block ourselves into indecision and inaction.
  • Act with respect and humility - Don’t assume you’re right and know better, question your information. Actively look to disprove your point of view and assumptions. Having a different point of view is never an excuse to be an asshole. Earn the right to have say by knowing customer needs and understanding the business.
  • Push hard and have fun - A startup is an obstacle course, not a stroll. There is a level of intensity needed to make a startup successful and every one of us needs to carry a lot of weight so a small team can accomplish a lot. We thrive on the adrenaline of solving tough problems to accomplish something meaningful - and like to keep our sense of humor while at it.

Company HQ

China Basin, San Francisco, CA

Leadership

Earned an MBA from University of California. Started his career as a strategy consultant at Bain & Co. Previously held VP of Product positions at YapStone, Lending Club and Mosaic.

Earned an MBA from Stanford University Graduate School of Business. Background in Marketing and Growth with senior leadership positions across Paypal and LinkedIn.

Studied Automation and Control in Engineering Systems at National Technical University of Ukraine 'Kyiv Polytechnic Institute'​. Previously Director of Engineering at ClairMail for 7 years and VP of Technology at Lending Club for 3 years.

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