Senior Data Scientist I

Signifyd; São Paulo; Presencial; USD 60.000 - 100.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a Data Scientist, where you'll build production machine learning models to combat fraud and enhance e-commerce experiences. This role offers the chance to work collaboratively in a dynamic team environment, leveraging your analytical skills to make a real impact. You'll engage in hands-on research, design experiments, and utilize your coding expertise to develop solutions that protect businesses and consumers alike. If you're passionate about data science and eager to contribute to innovative fraud prevention, this opportunity is perfect for you.

Serviços

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

Qualificações

• 5+ years of experience in building production ML models.
• Hands-on statistical analysis and practical SQL knowledge.

Responsabilidades

• Build production machine learning models to identify fraud.
• Collaborate with engineering teams to enhance ML platform.

Conhecimentos

Machine Learning

Statistical Analysis

Python Programming

SQL

Experiment Design

Data Communication

Linux Command Line

Formação académica

Bachelor's degree in Computer Science

Advanced degree in Analytical Field

Descrição da oferta de emprego

PLEASE APPLY IN ENGLISH

The Data Science team builds production machine learning models that are the core of Signifyd's product.

Our product helps businesses of all sizes minimize their fraud exposure and grow their sales. This translates into improved e-commerce shopping experience for individuals, by reducing the number of orders that are incorrectly declined, and by making account hijacking less profitable for criminals.

The data science team has end-to-end ownership of our decision engine, from research and development to online performance and risk management.

We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.

Together we help each other grow our skills through peer reviews, group studies, and frequent knowledge sharing to deepen our ML and stats understanding. This is done through live demos, write-ups, and special cross-team projects.

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.
• Writing production and offline analytical code in Python.
• Working with distributed data pipelines.
• Communicating complex ideas effectively to a variety of audiences.
• Collaborate with engineering teams to strengthen our machine-learning platform.

Requirements:

• Bachelor's degree in computer science, applied mathematics, economics, or an analytical field or equivalent practical experience.
• At least 5+ years of experience.
• Building production ML models.
• 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.
• Practical SQL knowledge.
• Familiarity with the Linux command line.
• Fluent in English.
• This role has on-call shifts, as part of our weekend rotation, Fri/Sat/Sun. While the number of shifts is subject to change, currently it works out to about six weekends a year.

Bonus points if you have:

• Advanced degree in an analytical field (Master, PhD).
• Previous work in fraud, risk, payments, or e-commerce.
• Worked previously with Go-to-Market teams directly.
• Data analysis experience in a distributed environment.
• Passion for writing well-tested production-grade code.

#LI-Remote

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.