Data Scientist, Sift
Core Data Science
$160-200k
Fraud prevention
Job no longer available
Fraud prevention
201-500 employees
Job no longer available
$160-200k
201-500 employees
Company mission
Sift's mission is to help everyone trust the internet.
Role
Who you are
- B.S degree in Computer Science or related field
- You are obsessed with customer impact and interested in fraud-prevention operations and businesses
- Deep knowledge of machine learning and data science best practices and hands-on practice of solving real-world problems through practical yet rigorous ML paradigms
- Experience working with large datasets using Jupyter, Pandas, PySpark, PyTorch, Tensorflow or similar technologies
- You understand Java or other object-oriented programming languages
- You love to perform deep analysis as well as hacking together functional prototypes
- You are laser-focused on delivering customer value and prefer practicality over theoretical impact
- You have a growth mindset, willing to mentor and learn from other data scientists and engineers
- You tell compelling story through data, love ambiguity and feel comfortable to evaluate and manage competing research priorities
- Excellent communication skills and collaborative work attitude
What the job involves
- Deep analysis of fraud patterns and customer goals, provide data-driven evidence to propose engineering initiatives
- Gather domain knowledge from stakeholders to define evaluation metrics and drive innovation towards customer goals
- Respond to customer feedback and dive deep into the gaps in our existing product offerings and work with engineering teams to close those gaps
- Research and recommend modeling, feature engineering, or other relevant improvements balancing customer value and level-of-effort
- Collaborate with engineering teams to understand system constraints, and propose architecture changes and product features to serve our customers
- Collaborate with platform teams to build internal tools to support repeatable research process and help diagnosing model issues
Our take
As eCommerce sales are growing, so - unfortunately - is payment fraud. In a landscape where over 80% of first-time shoppers with smaller merchants are concerned about data security, retailers have to find ways to earn trust.
Sift is one company that sets out to prevent digital fraud by verifying customer identities and payment methods. It gives its clients, that include Twitter, McDonalds, Harry’s, DoorDash and Poshmark, the ability to confidently gain trust from their customers.
Worldwide, Sift serves tens of thousands of websites and apps. Building on its growth and successful fundraising efforts, the company acquired longtime partner Chargeback, and has now made a partnership with payabl to bring AI-driven fraud prevention to European merchants.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Apr 2021
$50m
SERIES E
Mar 2018
$53m
SERIES D
Total funding: $156.8m
Company benefits
- Competitive total compensation package
- 401k plan
- Medical, dental and vision coverage
- Wellness reimbursement
- Education reimbursement
- Flexible time off
Company HQ
Financial District, San Francisco, CA
Leadership
Jason Tan
(Executive Chair & Founder)Having studied at the University of Washington, Jason spent almost 3 years as a Zillow Software Design Engineer, before joining Optify and working as CTO of BuzzLabs for a year. They founded Sift in June 2011, serving initially as CEO and since January 2021 as Executive Chairman.
Share this job
View 8 more jobs at Sift