Data Scientist II

Signifyd; Brasil; Presencial; BRL 120 000 - 160 000; Tempo integral

Resumo da oferta

A technology company in Brazil is seeking a Data Scientist II to build and optimize fraud detection models. The ideal candidate has a Bachelor's degree in a quantitative field and 3+ years of data science experience. Strong programming skills in Python and Java are required, along with proficiency in SQL. This role offers the opportunity to work in a collaborative environment tackling significant challenges in e-commerce safety.

Qualificações

• 3+ years of experience in data science or analytics.
• Hands-on statistical analysis and coding experience.
• Experience in designing experiments and collecting data.

Responsabilidades

• Build production machine learning models that identify fraud.
• Design new algorithms for fraud protection.
• Collaborate with engineering teams to enhance machine learning pipelines.

Conhecimentos

Statistical analysis

Python programming

Java programming

SQL knowledge

Data visualization

Analytical thinking

Collaboration

Formação académica

Bachelor's degree in computer science, applied mathematics, economics, or analytical field

Advanced degree (M.S. or Ph.D.)

Ferramentas

Linux command line

Descrição da oferta de emprego

Data Scientist II – Signifyd

About the Role

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology combined with a dedicated team creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year.

Department

The Applied Decision Science team drives client performance and ensures long-term stability. Responsibilities include feature engineering, client‑specific models, adjusting thresholds, creating rules for decisioning, leading proof‑of‑value studies, conducting pricing analyses, and performing loss investigations. Collaboration spans Risk Intelligence, Chargeback Investigation, and Product teams, and the team pioneers novel modeling methods and robust mitigation management.

Values

• Curious and Hungry: Be willing to research and design experiments, being hands‑on.
• Tenacious: Creating something new is hard work; the team never gives up.
• Customer Passion: Be the backbone to our platform, staying ahead of fraudsters.
• Design for Scale: Work with the Data Science team to enable fraud protection at scale.
• Agile: Balance research and experimentation with real‑time data analysis.
• Roll Up Your Sleeves: Partner closely internally, learn from others, and succeed as a team.

Impact

• Build production machine learning models that identify fraud.
• Design new algorithms that optimize the key components of the Signifyd Commerce Protection Platform.
• Write production and offline analytical code in Python and Java.
• Research real‑time emerging fraud patterns with the Risk Analysis team.
• Work with distributed data pipelines.
• Communicate complex ideas effectively to a variety of audiences.
• Collaborate with engineering teams to continuously strengthen our machine learning pipeline.
• Mentor other team members.

Past Experience You’ll Need

• Bachelor's degree in computer science, applied mathematics, economics, or an analytical field.
• 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.

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.

Employment Details

Seniority level: Associate

Employment type: Full-time

Job function: Engineering and Information Technology

Industry: Software Development