Data Scientist, Super

Risk & Fraud

$77-134k

Salary given is for the US. Canadian salaries are between $71,000 - $116,000 CAD and may vary by location

SQL

Python

Google Analytics

Tensorflow

NumPy

Pandas

Amplitude

Snowflake

Mixpanel

dbt

Junior and Mid level

Remote from Canada, US

Cashback card & online savings provider

Open for applications

Cashback card & online savings provider

1001+ employees

FintechB2CMobileConsumer GoodseCommerce

Open for applications

$77-134k

Salary given is for the US. Canadian salaries are between $71,000 - $116,000 CAD and may vary by location

SQL

Python

Google Analytics

Tensorflow

NumPy

Pandas

Amplitude

Snowflake

Mixpanel

dbt

Junior and Mid level

Remote from Canada, US

1001+ employees

FintechB2CMobileConsumer GoodseCommerce

Company mission

To help people get more out of life by providing them with ways to build credit, save money, travel more, and earn cashback rewards.

Job

Company

Role

Who you are

2+ years of experience in data science roles, preferably within risk & fraud related roles
Experience with web analytics tools (GA4, Amplitude, Mixpanel, etc)
A technical degree in data science, computer science, analytics, or AI with a proven ability to autonomously build and evaluate predictive models
Intermediate knowledge of SQL with the ability to create clean and transform datasets, ideally with DBT
Collaborative and verbose communication about why and how we approach business questions
Strong python programming skills with working knowledge of machine learning packages such as sklearn, pandas, numpy, tensorflow, etc

What the job involves

This role is part of our newly formed Risk & Fraud Automation team, where evangelizing and building a strong culture around risk and fraud management will be a crucial part of our mission
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
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
You'll apply statistical analysis and machine learning techniques to uncover insights, build predictive models, and support data-driven decision-making
Investigate data trends, patterns, and anomalies; assist in diagnosing issues and identifying opportunities through exploratory data analysis (EDA)
Access, clean, and transform large, raw datasets to prepare them for modeling and analysis
Collaborate closely with product, engineering, and business teams to translate problems into data science solutions
Autonomously identify business challenges that have impactful data solutions and build the right solution to the problem
Design and execute personalization experiments (e.g., A/B tests) to test hypotheses, measure product changes, and inform business strategies
Develop, prototype, and validate machine learning models and algorithms
Create clear visualizations and reports to communicate technical findings and model results to stakeholders
Follow best practices for reproducibility, model evaluation, documentation, and version control in data science workflows
Support efforts to improve data quality, feature engineering processes, and model monitoring practices

Our take

Ecommerce scaleup Super (formerly known as Snapcommerce) is looking to revolutionize the eCommerce experience. Instead of shopping around disparate sources for the best consumer product deals, Super wants users to be able to send a message to their account and have the best personalized deals returned, ready to purchase.

The company has tried-and-tested this approach with its flagship and original platform Snaptravel, which delivers travel deals via a text-like interface across Messenger, WhatsApp, and SMS. It proved a hit, already crossing the $1B sales mark with nearly half of sales coming from repeat customers. This is substantial, as any significant overhaul of how people shop requires both efficacy and popularity to catch on - Snaptravel has both, which bodes well for the broader Super brand.

The recent boom in eCommerce has spilt over into a marked increase in mobile commerce, too. With Gen Z more likely to shop using mobile, and this demographic maturing into a substantial consumer demographic, Super, with its capital raise of more than $160 million, is poised to lead a bold and lucrative new wave in online shopping.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

25% employee growth in 12 months

Glassdoor (3.9)

Trustpilot (4.4)

Company

Funding (last 2 of 5 rounds)

Apr 2023

$60m

SERIES C

Mar 2021

$85m

LATE VC

Total funding: $167.4m

Company benefits

Competitive base salary
2x/year performance reviews
RRSP and 401k
Generous equity options
$1,200 annual learning & development allowance
Unlimited PTO (really!)
Recharge days throughout the year
Parental leave + top-up program
Annual $200 travel allowance
Employee-exclusive discounts
Health, dental, and vision insurance on day one
$360 annual wellness allowance
Employee assistance programs
$500 WFH allowance (one-time)
Free food Fridays!

Company HQ

SoMa, San Francisco, CA

Leadership

Hussein Fazal

(Co-Founder & CEO)

A Computer Science graduate with a background in software development, who went on to co-found and serve as CEO at AdParlor.

Henry Shi

(Co-Founder)

Previously co-founded social discovery network uMentioned, and went on to work as a Google software engineer. Also invests in various internet and consumer startups.

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