Senior Data Scientist

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3 days ago

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RD Saúde

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Healthcare Insurance • Pharmaceuticals • Retail

RD Saúde is a leading healthcare company in Brazil focused on improving health and well-being through its extensive network of pharmacies and exclusive brands. With a commitment to sustainability and social responsibility, RD Saúde invests in initiatives that enrich lives while ensuring corporate accountability and transparency. The company employs over 57,000 people across more than 3,000 locations, striving to create a healthier society and future.

10,000+ employees

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🛒 Retail

📋 Description

• Professional capable of translating business needs into accurate and effective statistical and Machine Learning models, with the ability to develop customized solutions that meet clients' specific requirements. • Capture and translate business demands into efficient and accurate statistical modeling products. • Organize, structure, and document end-to-end projects, ensuring quality and adherence to best practices. • Develop and maintain data pipelines and Machine Learning models in production. • Build custom Machine Learning and AI models tailored to each client’s specific needs. • Anticipate and propose the best solutions based on acquired business knowledge. • Create detailed monitoring reports for developed models, presenting metrics and results. • Communicate and present results clearly and effectively to both technical teams and business stakeholders. • Assist in mentoring and developing less-experienced team members.

🎯 Requirements

• Bachelor's degree (completed) • Proficiency in Python, PySpark or R. • Strong knowledge of SQL and statistics/mathematics. • Experience with Git, Docker, Kubernetes, and Machine Learning frameworks. • Knowledge of model versioning tools and CI/CD. • Familiarity with cloud services (AWS, GCP, Azure) and language models. • Generative AI (Gen AI) experience or familiarity.

🏖️ Benefits

• Profit-sharing bonus (PPR) • Health insurance • Dental insurance • On-site cafeteria • Life insurance • Transportation allowance • Pharmacy benefit • Discounts through partner-company agreements • Gym benefit (Gympass) • Christmas hamper • Career development track • Extended maternity and paternity leave