Senior Data Scientist - Vaga afirmativa para pessoas LGBTQIAPN+

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

Resumo da oferta

A leading data consultancy is seeking a Senior Data Scientist to design and maintain scalable data products. The ideal candidate has strong Python/Pyspark skills and a degree in a quantitative field. The role involves collaborating with teams, developing machine learning models, and championing data quality. This position offers remote work and great benefits, including gym access and semiannual reviews for promotions.

Serviços

Work from home or anywhere

Access to gym and wellness programs

Life, health, and dental insurance

In-person meetings 3x a year

Coworking space booking

Opportunities for promotion

Qualificações

• Strong communication and interpersonal skills.
• Ability to balance hands-on delivery with mentoring.
• Excellent problem-solving skills.

Responsabilidades

• Design end-to-end machine learning models.
• Collaborate with teams to translate business problems into frameworks.
• Monitor performance of deployed models.

Conhecimentos

Python

Pyspark

Machine Learning

Data Analysis

SQL

Collaboration

Formação académica

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

Ferramentas

Google Cloud Platform

AWS

Azure

Databricks

PostgreSQL

BigQuery

Descrição da oferta de emprego

Overview

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, scikitlearn, 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 and unsupervised learning models (e.g., xgboost, logistic regression, clustering)
• 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 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!

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