Senior Data Scientist - Fluent English

LinkedIn Job Wrapping; São Paulo; Teletrabalho; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A data-driven company in São Paulo is seeking a qualified Senior Data Scientist to design and build scalable data products, collaborate across teams, and mentor junior staff. The ideal candidate will have strong experience with Python and Pyspark, a degree in a quantitative field, and a passion for solving complex problems. This role offers flexible working conditions, including remote options, and diverse employee benefits.

Serviços

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 – workshops and training

Woba – book a coworking space wherever you like

Semiannual Reviews – opportunities for promotion

Qualificações

• Strong communication and interpersonal skills.
• Ability to balance technical delivery with mentoring.
• Excellent problem-solving skills.
• Passionate about innovative solutions.
• Active contributor to knowledge sharing.

Responsabilidades

• Design and deploy end-to-end machine learning models.
• Collaborate to translate business problems into data science frameworks.
• Monitor and troubleshoot model performance.
• Provide technical leadership in statistical modeling and analytics.

Conhecimentos

Python

Pyspark

Machine learning

SQL

Statistical modeling

Formação académica

Degree in Computer Science, Statistics, Engineering, Economics, or related field

Ferramentas

Google Cloud Platform

AWS

Azure

PostgreSQL

TensorFlow/Keras

Descrição da oferta de emprego

Overview

Artefact Brasil is a company built on empathy with a commitment to a diverse and inclusive environment. We value every voice and encourage collaboration across ethnicity, color, gender, sexual orientation, gender identity, disability, or religious belief. We welcome incredible minds and hearts to join Artefact.

What you will be doing:

We are looking for a qualified Senior Data Scientist with Python/Pyspark experience to join our data team. In this role, you will 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: 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: Familiar with tools such as PostgreSQL, SQL Server, BigQuery, Snowflake
• Machine Learning models: Experience with supervised learning models (xgboost, logistic regression, etc) and unsupervised learning models (clustering algorithms)
• MLOPS: Experience with at least one: Databricks, mlflow, AWS SageMaker, Vertex AI; Git code versioning workflow and platforms (GitHub, Azure DevOps, GitLab, etc.)

What we offer:

• 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 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!