Senior Data Scientist - Vaga afirmativa para pessoas negras

Artefact; São Paulo; Teletrabalho; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

Uma consultoria de dados está em busca de um Cientista de Dados para desenvolver modelos de machine learning e colaborar com equipes multifuncionais. O candidato ideal deve ter experiência com Python, machine learning e habilidades de comunicação. Oferecemos um ambiente de trabalho flexível, com benefícios como plano de saúde e programas de bem-estar.

Serviços

Benefícios de refeição e transporte

Acesso a academias e programas de bem-estar

Cobertura de saúde e dental

Reuniões presenciais 3x por ano

Espaço de coworking disponível

Revisões semestrais com oportunidades de promoção

Qualificações

• Fluência em inglês é essencial para o ambiente internacional.
• Experiência com modelos de machine learning supervisionados e não supervisionados.
• Conhecimento em frameworks de deep learning é um diferencial.

Responsabilidades

• Projetar, desenvolver e implementar modelos de machine learning.
• Colaborar com equipes de análise de dados e engenharia.
• Monitorar e resolver problemas de desempenho dos modelos.

Conhecimentos

Habilidades de comunicação

Resolução de problemas

Curiosidade

Colaboração

Empreendedorismo

Formação académica

Graduação em Ciência da Computação, Estatística, Engenharia ou área relacionada

Ferramentas

Python

Google Cloud Platform

PostgreSQL

MLflow

Descrição da oferta de emprego

Overview

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

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

• 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

• Programming Languages: Strong skills in Python for data science (pandas, numpy, scikit-learn, pyspark). Nice to have: knowledge of 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: Familiar with PostgreSQL, SQL Server, BigQuery, Snowflake.
• Machine Learning models: Experience with supervised (e.g., xgboost, logistic regression) and unsupervised (clustering) models.
• MLOPS: Experience with Databricks, MLflow, AWS SageMaker, Vertex AI, and Git-based versioning (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\'ll not give up until we make a big difference in this industry!

Join us!