Senior Data Scientist - Vaga afirmativa para pessoas negras

Role overview This senior data scientist role focuses on designing and shipping end-to-end machine learning products within a data team that values empathy, inclusion, and scientific rigor. The position blends hands-on modeling, technical leadership, and mentorship, working in close partnership with analytics, product, and engineering peers. The opening is posted as an affirmative opportunity aimed specifically at Black professionals.

Responsibilities - Design, build, and deploy end-to-end machine learning solutions, spanning data acquisition, feature engineering, training, and production monitoring. - Partner with analysts, product managers, and engineers to translate business problems into data science frameworks and measurable outcomes. - Engineer complex features from large-scale datasets to lift model accuracy and business impact, while championing data quality and integrity standards. - Monitor deployed models for concept drift, data quality degradation, and performance bottlenecks, and address issues proactively. - Provide technical leadership on statistical modeling, machine learning, and advanced analytics applied to complex business problems. - Document and present methodologies and findings to both technical and non-technical stakeholders, and mentor junior scientists through code reviews and design discussions.

Requirements - Degree in Computer Science, Statistics, Engineering, Economics, or a related quantitative field. - Strong Python for data science skills, including pandas, numpy, scikit-learn, and PySpark. - Hands-on experience with at least one major cloud data platform such as Google Cloud, AWS, Azure, or Databricks. - Familiarity with data warehousing and database tools like PostgreSQL, SQL Server, BigQuery, or Snowflake. - Practical experience with supervised and unsupervised learning models, plus MLOps tooling such as MLflow, SageMaker, Vertex AI, or Databricks, and Git-based version control. - Strong communication and problem-solving skills, fluent English for an international environment, and a collaborative, curious, entrepreneurial mindset.

Nice to have - Experience with a deep learning framework such as PyTorch or TensorFlow/Keras.

Benefits and work setup - Remote-first work setup, with the freedom to work from home or any location. - Meal and transportation allowances. - Wellness platform access covering gyms and well-being programs. - Life, health, and dental insurance. - Coworking allowance so you can book shared workspaces wherever suits you. - Three in-person meetups per year featuring workshops, talks, trainings, and social events. - Semiannual performance reviews with clear promotion opportunities.