Senior Data Scientist - Vaga afirmativa para pessoas LGBTQIAPN

Role overview

This is a senior data science role on a remote-first team that designs, builds, and operates machine-learning products  opening is part of an affirmative action initiative aimed at broadening LGBTQIAPN+ representation in technology, and the position pairs hands‑on modeling work with technical leadership across an international, English-speaking environment.

• Design, develop, and deploy end-to-end machine learning pipelines, covering data acquisition, feature engineering, training, and ongoing production monitoring
• Partner with data analysts, product managers, and engineering teams to translate open business questions into well-scoped data science frameworks
• Engineer features from large-scale datasets to lift model accuracy and measurable business performance
• Champion data quality and integrity by defining requirements for analytics-ready datasets and resolving issues such as concept drift, degradation, and bottlenecks
• Document and communicate methodologies, model findings, and recommendations to both technical and non-technical audiences
• Mentor junior data scientists through code reviews, design discussions, and knowledge sharing, while modeling a culture of scientific rigor

• Degree in Computer Science, Statistics, Engineering, Economics, or a related quantitative field
• Strong Python for data science, including pandas, Num Py, scikit-learn, and Py Spark
• Hands‑on experience with at least one cloud data platform such as GCP, AWS, Azure, or Databricks
• Familiarity with data warehousing and databases such as PostgreSQL, SQL Server, Big Query, or Snowflake
• Practical experience with supervised learning models (for example XGBoost or logistic regression) and unsupervised approaches like clustering
• Working knowledge of MLOps tooling such as MLflow, Sage Maker, or Vertex AI, and Git-based workflows on Git Hub, Azure Dev Ops, or Git Lab
• Fluent English, strong communication and interpersonal skills, and a track record of balancing delivery with mentoring

• Experience with deep learning frameworks such as PyTorch or Tensor Flow/Keras

• Fully remote "free office" model with the ability to work from home or any preferred location
• Meal and transportation vouchers
• Gympass access for gyms and wellness programs
• Life, health, and dental insurance
• Coworking reimbursement through a partner network
• Three in-person gatherings per year featuring workshops, talks, trainings, and social events
• Semiannual performance reviews with growth and promotion opportunities