Since 2018, Wisetack has been building transparent and intuitive consumer lending products that help service-based businesses thrive (think HVAC companies, veterinarians, or auto repair shops).
Our leadership team comes from top fintech companies such as Lending Club, Affirm, and Varo Money. And we’re backed by leading VCs, including Insight Partners, Greylock, and Bain Capital Ventures (investors in Airbnb, LinkedIn, Instagram, Dropbox, and more).
Having raised $84M, we’re a well-funded startup and have invested in people and technology while growing our partnerships — responsibly.
We’re also proud to have received recognition from the fintech world. Awards we’ve won include:
But what you’ll find us gleaming about the most is the recognition from our own customers, particularly our sky-high NPS rating of 79. (For reference, the average score is 44 for financial services and 36 for SaaS companies.)
As a result of our efforts in building this healthy company culture, we’ve been nominated to several Great Places to Work lists, such as Best Small Workplaces, Best Workplaces in the Bay Area, and Best Workplaces in Financial Services & Insurance.
Like any startup, we’re in it for the long haul, and we’re looking for people willing to join our journey of building something special together.
This process starts with our company values, which guide us in everything we do — and have played a critical role in our success. We valiantly abide by them, and would expect you to do the same:
- Put customers first (that’s our M.O.)
- Act fast (leverage our startup environment).
- Lead the way (show and tell).
- Take ownership (everyone is hands-on here).
- Be a good human (no egos, build financial products that do right by people).
Learn more about our values here.
The Role
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.
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. 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.
In our fast-paced startup environment, we value quick thinking, hands-on contributions, and a strong sense of ownership. If you are passionate about leveraging data to lead the way in creating innovative financial solutions that make a positive impact, we want to hear from you.
Responsibilities
- 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
Requirements
- M.S. or Bachelors degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
- 2-3 years of experience as a Data Scientist; preferably 3-5 total years of experience
- Familiarity with OLS and Logistic regression modeling, as well as familiarity with modern machine learning techniques such as gradient boosting and neural networks
- Proficiency in SQL
- Proficiency in 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
Bonus points
- 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
The range of base salary for the position is between $100,000-$140,000, plus equity, and benefits. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level and competencies.
Spend a little time on our About Us page and check out our Press page and our blog for more. If you think this might be a fit, we’d love to hear from you!
