Senior Data Scientist

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

📋 Description

• Develop, validate, monitor, and enhance statistical, predictive, and Machine Learning models to support strategic business objectives.

• Explore, analyze, and interpret extensive amounts of structured and unstructured data, transforming them into actionable insights for informed decision-making.

• Conduct analytical studies and create models to understand customer behavior, detect patterns, and uncover business opportunities.

• Design and implement scalable analytical solutions, ensuring high quality, efficiency, and reliability of results.

• Execute exploratory data analysis, hypothesis testing, and impact assessments to aid strategic decision-making.

• Identify opportunities for process optimization utilizing Data Science, Statistics, and Artificial Intelligence techniques.

• Work with data from various internal and external sources, ensuring integration, consistency, and data integrity.

• Collaborate with Business, Data Engineering, and Technology teams to comprehend requirements and translate challenges into analytical solutions.

• Monitor model performance in production and suggest continuous improvements to maintain accuracy and efficiency.

• Research, evaluate, and apply new methodologies, algorithms, and technologies related to Artificial Intelligence, Machine Learning, and Analytics to foster innovation and enhance data solutions.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field.

• Demonstrated experience in Data Science applied to resolving business challenges.

• Strong understanding of the complete analytics and Machine Learning model development lifecycle, from data exploration to deployment, monitoring, and production evolution.

• Advanced proficiency in Python and SQL for data manipulation, analysis, and processing.

• Experience with Data Science and Machine Learning libraries such as Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, or similar.

• Proven experience in handling, processing, and analyzing large volumes of structured and unstructured data.

• Familiarity with AWS data and Machine Learning ecosystem services.

• Solid understanding of Statistics, Probability, hypothesis testing, statistical modeling, and model evaluation.

• Experience in developing, validating, monitoring, and evolving predictive models and Machine Learning algorithms.

• Knowledge of defining and tracking model performance metrics (KPIs and statistical metrics).

• Proficiency in Git for code versioning.

• Experience with agile methodologies (Scrum or Kanban).

• Nice-to-haves: Experience with MLOps and model deployment/monitoring tools.

• Familiarity with Deep Learning frameworks (TensorFlow, PyTorch, or Keras).

• Experience with LLMs, Generative AI, or Natural Language Processing (NLP).

• AWS or Machine Learning certifications.

• Knowledge of Docker, Kubernetes, and CI/CD pipelines.

🏝️ Benefits

• Remote position – Monday to Friday (09:00 to 18:00).

• Meal/Food allowance – R$300.00 per month (cumulative) to spend as you wish; the amount is credited to your iFood account monthly and an ELO-branded card is provided.

• Birthday – Rox offers a gift voucher and a day off to celebrate your special day.

• Blog – Rox promotes knowledge sharing; for every 2 approved posts published on our blog, you will receive a bonus.

• Courses – Full access via RoxSchool, Alura, Pluralsight, and O’Reilly for books and talks.

• Certifications – Reimbursement of up to R$300.00 (TECHNOLOGY) + a R$300.00 bonus for each certification obtained from these providers.

• Psychological support – Two psychotherapy sessions paid monthly by ROX with partner psychologists.

• WellHub (Gympass).

• We provide the necessary work equipment.