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Sr. Data Scientist

PyyneBrazilTechnology
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior · 4+ yrs
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

Pyyne is hiring a Senior Data Scientist in Brazil to work as a consultant on a digital project for a US-based e-commerce retailer. This position suits an experienced analytics professional with strong Python skills and advanced English communication abilities.

Role Overview

The Senior Data Scientist acts as the initial technical team member for a new client engagement. The professional collaborates directly with a project manager and the client leadership to convert complex business challenges into actionable analytical solutions and deployed models.

Key Responsibilities

Formulate analytical problems from stakeholder inquiries and communicate technical trade-offs to various audiences.
Prepare and validate datasets from diverse sources to generate reliable analytical features.
Develop and assess statistical and machine learning models using straightforward methodologies.
Create and evaluate experiments like A/B tests alongside defining relevant business metrics.
Collaborate with client engineers to deploy, integrate, and monitor production models.
Produce tested, reproducible code with thorough documentation of methodologies and assumptions.
Maintain transparent project progress and proactively communicate potential risks.

Requirements

Minimum of four years of professional experience working as a Data Scientist or in related applied machine learning and advanced analytics roles.
Proficiency in Python utilizing libraries such as pandas and scikit-learn, alongside SQL.
Core background in statistical principles, model validation, and experiment design.
Demonstrated history of delivering practical models from exploration to stakeholder adoption.
Fluent spoken and written English proficiency.

Nice to Have

Background in retail, e-commerce, or manufacturing domains focusing on demand forecasting, customer analytics, or pricing.
Production deployment and MLOps experience on cloud platforms including AWS, Azure, or GCP.
Knowledge of modern data stack tools like Snowflake, BigQuery, Databricks, or dbt.
Familiarity with business intelligence software such as Power BI, Tableau, or Looker.
Previous background working within client-facing or consulting environments.

Skills and Tools

Python
SQL
pandas
scikit-learn
AWS
GCP
Azure
dbt
Snowflake
BigQuery
Databricks
Tableau
Looker
Power BI

Salary and Benefits

Flexible remote working setup.
Professional growth opportunities within a fast-growing organization.

About the Company

Pyyne operates as a modern technology consultancy that engineers next-generation digital products and services. The organization delivers advanced software engineering, cloud solutions, and data and artificial intelligence services designed to unlock business potential and drive digital excellence.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the Senior Data Scientist position located?

The role is based in Brazil, operating out of the Latin American office with a flexible remote working environment.

How many years of experience are required for this job?

Candidates must have four or more years of professional experience as a Data Scientist or in a comparable applied machine learning or advanced analytics role.

What language proficiency is mandatory?

Advanced written and spoken English is required for daily collaboration with client stakeholders.

What programming languages and core libraries are needed?

Strong proficiency in Python (including pandas and scikit-learn) and SQL is required.

What benefits are offered with this position?

The role includes a flexible remote working environment and career development opportunities within a fast-growing company.

Ready to apply?

The application is on the official Pyyne careers page.

Apply on company site