Mid-level Data Scientist

Job not on LinkedIn

🕒 July 14

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Afya

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏥 Healthcare

💼 Consulting

📚 Education

Healthcare • Consulting • Education

Afya is the largest hub of education and healthcare solutions in Brazil, dedicated to enhancing medical training and practice. With a comprehensive portfolio that includes undergraduate programs, continued medical education, and digital healthcare solutions, Afya aims to support healthcare professionals at all stages of their careers. The company leverages technology to deliver high-quality medical education and has seen substantial growth in digital educational resources, especially during the pandemic, positioning itself as a leader in the healthtech sector.

📋 Description

• We are allies of the physician throughout their entire journey and we are looking for people who identify with our purpose, values and culture to join our team. Let’s transform healthcare together with those who have medicine as a vocation! • This is an open position in the Data area, to work remotely. • As a Mid-level Data Analyst at Afya, your primary responsibility will be to perform data analysis and modeling, and to develop dashboards and metrics in Power BI, ensuring the quality, clarity and governance of information.

🎯 Requirements

• Degree in Business Administration, Economics, Statistics, Engineering, Data Science, Computer Science or related fields. • Advanced SQL (complex queries, joins, CTEs, window functions and optimization). • Experience with Git (code versioning and collaboration best practices). • Strong experience with Power BI (DAX, Power Query, data modeling and visualization best practices). • Knowledge of data modeling (Star Schema, dimensions and facts, SCDs). • Knowledge of Python for data analysis, data manipulation and development of analytical models. • Knowledge of applied statistics and exploratory data analysis. • Experience or knowledge in supervised and unsupervised Machine Learning techniques. • Ability to tell a story with data and present insights clearly. • Experience working in Data Warehouse and/or Data Lake environments. • Nice to have: experience with DBT and/or Databricks. • Experience with libraries such as Pandas, NumPy, Scikit-learn and XGBoost. • Knowledge of MLOps, MLflow or model deployment for Machine Learning. • Experience in data governance and Self-Service BI. • Knowledge of Feature Engineering and evaluation of predictive models. • Knowledge of Generative AI, LLMs and applications using language models.

🏖️ Benefits

• Meal allowance / food voucher; • Flexible working hours and arrangements (for Remote positions); • Transit allowance (for Hybrid or On-site positions); • Profit-sharing (PLR); • Multi-benefits: flexible benefit via Flash Card to use as you prefer. • Gympass / Wellhub; • Psicologia Viva (online platform for sessions with psychologists and nutritionists); • Health and dental insurance; • Life insurance; • Extended parental leave (up to 6 months for mothers and 20 days for fathers); • Rede D'Ór: support and important information for mother and baby health with a network of affiliated nurses; • Partnership with your local SESC (a varied program in education, health, culture, leisure and assistance); • Birthday Day Off (one day off to take on your birthday or during your birthday month). • Learning platform with various courses to improve your knowledge (UCA); • Language academy (AIA); • Leadership development program; • Mentorship for Women at Afya (MMA); • Discounts on undergraduate and graduate courses at Afya education units.