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. 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

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!

Apply for this Job

* Required
resume chosen  
Dropbox Google Drive
(File types: pdf, doc, docx, txt, rtf)
Cancel
cover_letter chosen  
Dropbox Google Drive
(File types: pdf, doc, docx, txt, rtf)
Cancel

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Wisetack’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.

Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.