Senior Data Scientist - Fluent English

LinkedIn Job Wrapping; Rio de Janeiro; Remote; BRL 240,000 - 320,000; Full time

Benefits offered by this job

Meal & Transportation Benefits (VR/VT)

Free Office – work from home or from a

Gympass

Insurance – life, health, dental

In-person Meetings 3x a Year

Woba

Semiannual Reviews

Job summary

Artefact Brasil is seeking a Senior Data Scientist with Python/PySpark experience to design, build, and maintain scalable data products supporting analytics and data-driven offerings.

You will lead end-to-end ML projects, collaborate with analysts, PMs, and engineers, and mentor junior data scientists while championing data quality and robust data infrastructure.

Qualifications

• Design, build, and maintain scalable data products for analytics and data-driven products.
• Design end-to-end machine learning models from data acquisition to production monitoring.
• Collaborate with data analysts, product managers, and engineering teams to translate business problems into data science solutions.
• Develop and refine complex data features from large-scale datasets to improve model accuracy and business performance.
• Champion data quality and integrity, defining robust datasets for analytics and modeling.
• Monitor, analyze, and troubleshoot deployed models addressing drift and data quality issues.
• Provide technical leadership in statistical modeling and advanced analytics.
• Document and present methodologies and findings to technical and non-technical stakeholders.
• Mentor junior data scientists and analysts through code reviews and knowledge sharing.

Responsibilities

• Design, develop, and deploy end-to-end machine learning models from data acquisition to production monitoring.
• Collaborate with data analysts, product managers, and engineering teams to translate business problems into data science frameworks.
• Develop and refine complex features from large-scale datasets to improve model accuracy and business performance.
• Champion data quality and robust dataset requirements for advanced analytics.
• Monitor, analyze, and troubleshoot model performance including drift and data quality issues.
• Provide technical leadership in statistical modeling and advanced analytics to solve business problems.
• Document and present complex methodologies and findings to stakeholders.

Skills

Python for data science

Feature engineering

Model deployment

Data analysis

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow/Keras

Databricks

Git workflows

BigQuery

PostgreSQL

Job description

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, 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 learning models (xgboost, logistic regression, etc)
  *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

• 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 fiel
• 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!