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
Cashback card & online savings provider
Job no longer available
Cashback card & online savings provider
501-1000 employees
Job no longer available
$77-134k
Salary given is for the US. Canadian salaries are between $71,000 - $116,000 CAD and may vary by location
501-1000 employees
Company mission
To create opportunities for everyone to put more money in their pocket.
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, 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 some serious funding to its name, 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
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
- Yearly learning & development allowance
- Bi-annual performance & compensation reviews
- Generous equity options
- 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
- Permanent remote flexibility
- Work-from-home allowance
- Office in Toronto
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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