Senior Data Scientist – Machine Learning, AI

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create and implement predictive models and Machine Learning algorithms to address complex business analytics challenges.

• Lead the complete analytics lifecycle: data exploration, statistical modeling, validation, interpretation, and monitoring of impact metrics.

• Design interactive interfaces and prototypes to empower business teams in utilizing solutions and models, especially with Streamlit.

• Utilize statistical methods, supervised and unsupervised learning, and Deep Learning based on the specific business challenge.

• Organize and sustain experimentation pipelines using notebooks (Databricks, Jupyter) and experiment tracking (MLflow).

• Collaborate with data engineers and developers to seamlessly integrate solutions into production environments.

⛳️ Requirements

• Extensive hands-on experience in Data Science / Machine Learning at a Senior level.

• Proficient in Python programming (Scikit-learn, XGBoost, LightGBM, Statsmodels, SciPy).

• Hands-on experience in developing analytical applications and prototypes using Streamlit.

• Strong familiarity with Deep Learning frameworks (PyTorch and/or TensorFlow).

• Experience with experimentation and notebook environments (Databricks, Jupyter) and the ML lifecycle (MLflow).

• Practical knowledge and interest in applications involving LLMs and Generative AI.

• Familiarity with or prior experience in frontend development using React for data applications (a plus).

• Experience with AWS cloud architectures and services, such as Amazon Bedrock (a plus).

• Previous work on high-volume data projects within the energy/oil and gas sector (a plus).

🏝️ Benefits

• Meal allowance and/or food voucher.

• Health and dental insurance.

• Health insurance for your pet.

• Home office allowance (for remote positions).

• Welcome kit during onboarding.

• Life insurance.

• Zenklub, offering psychological and nutritional support.

• TotalPass.

• Certification and Continuous Learning Program with partners (Adobe, Anthropic, AWS, Google, Microsoft, Salesforce).

• Partnerships and discounts to enhance your professional development.

• Access to UOL content.

• Maternity kit.

• Extended maternity and paternity leave.

• Employee referral program.