Join to apply for the
Data Scientist II
role at
Signifyd
Join to apply for the
Data Scientist II
role at
Signifyd
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The Data Science team at Signifyd builds the models that power our fraud detection engine. Our machine learning pipeline keeps us one step ahead of fraudsters and their constantly evolving tactics and our research and experiments develop into new products that improve the merchant payments experience.
We expect our data scientists to be hands-on. We carry solutions from a brainstorm to experimentation and all the way to deployment. We’re a varied group with a diversity of strengths -- some team members came to us from academic backgrounds, others from engineering, some from big companies and some from small, but all of us are curious and collaborative.
We are looking for someone who embodies our
company values :
Curious and Hungry:
Be willing to do research and design experiments by being hands-on
Tenacious:
Creating something new is hard work, and our Data Scientist team never gives up
Customer Passion:
Be the backbone to our platform, and help us stay ahead of fraudsters
Design for Scale:
Work with the rest of the Data Science team to make fraud protection at scale possible
Agile:
Some days you may spend doing research and designing experiments while others are spent using your analytical toolbox to surface insights into real-time fraud attacks.
Roll Up Your Sleeves:
Partner closely internally to learn from others, and succeed as a team
How you’ll have an impact:
Building production machine learning models that identify fraud
Designing new algorithms that optimize all the key components of the Signifyd Commerce Protection Platform
Writing production and offline analytical code in Python and Java
Researching real-time emerging fraud patterns with the Risk Analysis team
Working with distributed data pipelines
Communicating complex ideas effectively to a variety of audiences
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Mentoring other members of the team
Past experience you’ll need:
Bachelor's degree in computer science, applied mathematics, economics, or an analytical field
An advanced degree (M. S. or Ph. D) in an analytical field is a plus
At least 3+ years of experience
Hands-on statistical analysis with a solid fundamental understanding
Designing experiments and collecting data
Writing code and reviewing others’ in a shared codebase, preferably in Python and Java
Practical SQL knowledge
Familiarity with the Linux command line
Fluent in English
Experience we love to see:
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
Using visualizations to communicate analytical results to stakeholders outside your team
Working directly with Go-to-Market teams
Previous work in fraud, payments, or e-commerce
Check out how Data Science is powering the new era of Ecommerce
Check out our Director of Data Science featured in Built In
Benefits in Mexico:
Health, Dental & Vision Insurance
Life Insurance of 24 months salary
Annual Performance Bonus
Christmas Bonus of 1 Month’s Salary
Food Vouchers
Stock Options
Paid Parental Leave
Flexible Work Arrangements
Telework Stipend for Home Internet
12 Paid Vacation Days with 85% Vacation Premiums
Paid Holidays
Company Social Events
Signifyd Swag
Dedicated learning budget through Learnerbly
On-Demand Therapy for all employees & their dependents
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Signifyd's Applicant Privacy Notice
Seniority level
Seniority level Associate
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Software Development
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