Senior Data Scientist - Fluent English

Artefact

São Paulo

Teletrabalho

BRL 167 400 - 279 000

Tempo integral

14 dias+

Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Benefícios de transporte e refeição

Flexibilidade de trabalho remoto

Acesso a programas de bem-estar

Seguro de vida e saúde

Reuniões presenciais 3x por ano

Revisões semestrais

Resumo da oferta

Uma empresa de tecnologia em dados no Brasil está em busca de um Cientista de Dados Sênior para projetar e manter produtos de dados escaláveis. O candidato ideal terá experiência em Python e Pyspark, habilidades de comunicação robustas e um forte entendimento de machine learning. O trabalho é remoto com um ambiente inclusivo e colaborativo.

Qualificações

Mínimo de 3 anos de experiência em um papel semelhante.
Experiência prática com Python para ciência de dados.
Fluência em inglês é essencial.

Responsabilidades

Projetar, desenvolver e implantar modelos de machine learning.
Colaborar com equipes para garantir resultados impactantes.
Monitorar e corrigir o desempenho dos modelos.

Conhecimentos

Python

Pyspark

Compreensão de machine learning

Habilidade de comunicação

Resolução de problemas

Curiosidade

Formação académica

Graduação em Ciência da Computação, Estatística ou área relacionada

Ferramentas

PostgreSQL

SQL Server

Google Cloud Platform

AWS

Descrição da oferta de emprego

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A abertura atual é para a Artefact do Brasil, estamos em modelo Free Office.

Who We Are

At Artefact Brasil, we believe in and live a culture based on empathy! A healthy work environment is a place where all voices are heard, respected, and valued. We are committed to building a more diverse and inclusive environment, because empathy is for everyone, regardless of ethnicity, color, gender, sexual orientation, gender identity, disability, or religious belief. We want incredible minds and hearts with us! Come and be Artefact!

What You Will Be Doing

We\'re looking for a qualified Senior Data Scientist with Python/Pyspark experience to join our data team. In this role, you\'ll be responsible for designing, building, and maintaining scalable data products that support our analytics and data-driven products.

Design, develop, and deploy end-to-end machine learning models, from data acquisition and feature engineering to production monitoring.
Collaborate with data analysts, product managers, and engineering teams to translate business problems into data science frameworks and ensure impactful outcomes.
Develop and refine complex data features from large-scale datasets to improve model accuracy and business performance.
Champion data quality and integrity, defining the requirements for robust datasets needed for advanced analytics and modeling.
Monitor, analyze, and troubleshoot the performance of deployed models, addressing issues like concept drift, data quality degradation, and performance bottlenecks.
Provide technical leadership in the application of statistical modeling, machine learning, and advanced analytics to solve complex business problems.
Document and present complex methodologies, model findings, and strategic recommendations to both technical and non-technical stakeholders.
Lead by example, championing a culture of scientific rigor, experimentation, and continuous learning within the data science team.
Mentor and coach junior data scientists and analysts, fostering their growth through code reviews, design discussions, and knowledge sharing.

What We Are Looking For

A degree in Computer Science, Statistics, Engineering, Economics, or a related quantitative field.

Strong communication and interpersonal skills, with the ability to collaborate across multiple teams and levels of the organization.
Demonstrated ability to balance hands-on technical delivery with mentoring and team enablement.
Excellent problem-solving skills, with the ability to troubleshoot complex technical issues.
Curiosity: You are passionate about finding innovative solutions to complex problems. You seek to understand the entire value chain and how your ML models integrate with front-end applications, back-end systems, and the underlying data infrastructure to deliver business value.
Collaboration: Knowledge sharing is essential to you, and you actively contribute to spreading information within Artefact.
Entrepreneurship: You bring solutions, new ideas, and innovations.
Fluent English: You are comfortable communicating in English, as it is essential for working in our international environment.

Required Technical Experience

You have practical experience with several tools and technologies in the modern data stack, such as:

Programming Languages: Strong skills in Python for data science (pandas, numpy, scikit-learn, pyspark)
[Nice to Have] Experience with a deep learning framework like PyTorch or TensorFlow/Keras
Cloud Data Platforms: Hands-on with at least one of Google Cloud Platform (GCP), AWS, Azure, Databricks
Data Warehousing & Databases: PostgreSQL, SQL Server, BigQuery, Snowflake
Machine Learning models: Supervised learning models (xgboost, logistic regression, etc); Unsupervised learning models (clustering algorithms)
MLOPS: Databricks, mlflow, AWS Sagemaker, Vertex AI
Git code versioning workflow and platforms (GitHub, Azure DevOps, GitLab, etc)

What We Offer

Meal & Transportation Benefits (VR/VT)
Free Office – work from home or anywhere you want
Gympass – access to gyms and wellness programs
Insurance – life, health, and dental coverage
In-person Meetings 3x a Year – our famous “Get Together” with workshops, talks, trainings, and happy hour
Woba – book a coworking space wherever you like
Semiannual Reviews – with opportunities for promotion

Why you should join us

Artefact is the place to be: come and build the future of the data field
Progress: every day offers new challenges and new learning opportunities
Culture: Empathy and Collaboration are in our DNA
Entrepreneurship: you will join a team of motivated entrepreneurs. We won\'t give up until we make a big difference in this industry!

Join us!

Seniority level