The ad says“Design and run rigorous experimentation programs (A/B and beyond) to test hypotheses, measure product changes, and quantify business impact”
The ad says“Architect data pipelines to access, clean, and transform large, raw datasets, and establish reusable patterns others can build on”
The ad says“Lead the design and delivery of statistical and machine learning solutions that drive high-impact, data-driven decisions across the business”
The ad says“Expert programming skills with fluency in the ML stack: sklearn, pandas, numpy, and a deep learning framework such as TensorFlow or PyTorch”
The ad says“Expert programming skills with fluency in the ML stack: sklearn, pandas, numpy, and a deep learning framework such as TensorFlow or PyTorch”
The ad says“Expert programming skills with fluency in the ML stack: sklearn, pandas, numpy, and a deep learning framework such as TensorFlow or PyTorch”
The ad says“Expert programming skills with fluency in the ML stack: sklearn, pandas, numpy, and a deep learning framework such as TensorFlow or PyTorch”
The ad says“Strong SQL, including the ability to build clean, performant transformations, ideally with DBT”
The ad says“Lead the design and delivery of statistical and machine learning solutions that drive high-impact, data-driven decisions across the business”
The ad says“Expert programming skills with fluency in the ML stack: sklearn, pandas, numpy, and a deep learning framework such as TensorFlow or PyTorch”
Values
The ad says“Strong SQL, including the ability to build clean, performant transformations, ideally with DBT”
The ad says“Previous experience in fintech & lending”
Our data scientists are embedded team members, and work alongside PM’s, software engineers and designers in our mission aligned team (MAT) model. This allows our team members to gain deep experience and context into specific business problems and verticals to grow quickly to become subject matter experts
This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses and productionize your work
This role is part of our Analytics & Data Science team. Being Data Driven is a core value of Super.com and this team plays a huge part in this. We are long time advocates and users of Snowflake, DBT & Amplitude
This isn’t a place where we are convincing the business the value of data, or just using these tools for the first time. We have maturity in our technical practices, launch a new experiment every day, and are looking for teammates to roll up their sleeves and do high quality data work
Lead the design and delivery of statistical and machine learning solutions that drive high-impact, data-driven decisions across the business
Own complex, ambiguous problems end to end, from framing the question to deploying and monitoring the solution in production
Investigate trends, patterns, and anomalies at depth; diagnose root causes and surface opportunities that shape product and business strategy
Architect data pipelines to access, clean, and transform large, raw datasets, and establish reusable patterns others can build on
Design, implement & monitor business rules for cash flow underwriting and repayment workflows
Partner with product, engineering, and business leaders to translate strategic priorities into data science roadmaps and influence decisions at the leadership level
Proactively identify the highest-leverage problems worth solving, and build or scope the right solution rather than the obvious one
Design and run rigorous experimentation programs (A/B and beyond) to test hypotheses, measure product changes, and quantify business impact
Develop, prototype, validate, and productionize machine learning models and algorithms, balancing accuracy against latency, cost, and maintainability
Communicate technical findings and model results to senior and non-technical stakeholders through clear visualizations, writeups, and recommendations
Benefits
Competitive base salary
Yearly learning & development allowance
Generous equity options
Bi-annual performance & compensation reviews
RRSP & 401k employee contribution plan
Health, dental, & vision insurance on day one
Parental leave programs
Wellness reimbursement
Supplemental Life Insurance
Unlimited PTO (yes, really!)
Recharge days throughout the year
Office in Toronto
Work-from-home allowance
Permanent remote flexibility
Preferred experience
Experience taking models to production and maintaining them (deployment, monitoring, retraining)
Strong SQL, including the ability to build clean, performant transformations, ideally with DBT
5+ years of experience in data science roles, with a track record of shipping models that delivered measurable business impact
Expert programming skills with fluency in the ML stack: sklearn, pandas, numpy, and a deep learning framework such as TensorFlow or PyTorch
A technical degree in data science, computer science, analytics, or AI, or equivalent applied experience building and evaluating production models
Previous experience in fintech & lending
Demonstrated ability to own projects independently and lead others through technical ambiguity
