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Open nowPosted 93 days ago

Senior Data Scientist

Super.com12 open roles

Pay
CA$121,000 – CA$197,000 a year
Where
United States
Work mode
Remote
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Your applicationOpen nowSenior Data ScientistSuper.com · United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Super.com's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Super.com postings stay open a median of 35 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 93 days ago

Super.com median: 35 days open

The posting

ABOUT SUPER.COM http://Super.com

We started Super.com http://Super.com to help maximize lives–both the lives of our customers and the lives of our team – so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com http://Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.

We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.

ABOUT THIS ROLE

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.

ABOUT THIS TEAM

This role is part of our Analytics & Data Science team. Being Data Driven is a core value of Super.com http://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.

WHAT YOU’LL BE WORKING ON:

- 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

WHAT WE’RE LOOKING FOR:

- 5+ years of experience in data science roles, with a track record of shipping models that delivered measurable business impact

- Demonstrated ability to own projects independently and lead others through technical ambiguity

- Experience taking models to production and maintaining them (deployment, monitoring, retraining)

- A technical degree in data science, computer science, analytics, or AI, or equivalent applied experience building and evaluating production models

- Strong SQL, including the ability to build clean, performant transformations, ideally with DBT

- Expert programming skills with fluency in the ML stack: sklearn, pandas, numpy, and a deep learning framework such as TensorFlow or PyTorch

- Previous experience in fintech & lending

WE’VE GOT YOU COVERED:

At Super.com http://Super.com, we believe in supporting our team so they can thrive—both at work and in life.

- Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms.

- Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.

- Everyday Perks: Weekly UberEats credits and travel discounts on SuperTravel help you enjoy the little things.

- Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan.

- Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one.

- Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.

At Super.com http://Super.com, we are proud to leverage cutting-edge artificial intelligence (AI) technology to make our hiring process smarter, faster, and more inclusive. By integrating AI tools into our recruitment, we enhance our ability to identify top talent efficiently while promoting fairness and consistency for every applicant.

Super.com http://Super.com is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify your Talent Acquisition Partner.

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    The review screen in CV Rocket: how each CV was read, round by round.

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