Cientista de Dados Sênior (Remoto)

We are looking for a Senior Data Scientist to join Artefact, a leading data services provider specialized in data consulting and data-driven digital marketing. Our mission is to transform and impact businesses across the entire value chain of organizations.

💪 Responsabilities:

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.

✅ Requirements:

● Fluent English: You are comfortable communicating in English, as it is essential for working in our international environment.

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)

[Nice to Have] Advanced Analytics: Experience with forecasting, optimization, recommendation and causal inference problems; e.g.: Collaborative filtering models; Bayesian network

[Nice to Have] AI Engineering: Experience with:

○ Prompt engineering and testing (model latency ; concurrency)

○ Knowledge about most LLM models: openAI models (e.g., GPT-4, GPT-4o, GPT-5), Anthropic models (e.g., Claude 4 family), or other open-source alternatives (e.g., Llama, Mistral, Deepseek, Qwen).

○ Experience with model fine tuning and RAG (vector searching)

🔎 Work Model:

• 100% Remote.

• Working hours: 9:00 AM to 6:00 PM (flexible).

💰Salary Range:

• Up to 14,300 BRL/month (CLT).

😎 Benefits:

• Meal Allowance.
• Annual Bonus.
• GymPass.
• Life Insurance.
• Health Plan.
• Dental Plan.
• Access to Coworking Space.
• Maternity and Paternity Leave.
• Career Review every 6 months.
• We provide work equipment.