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Senior Data Scientist
Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Centro Histórico de São Paulo, São Paulo - SP, 01002-010, Brazil
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Job Summary: We are seeking a Senior Data Scientist to transform data into insights and solutions that directly impact the end-user experience, tackling specific business problems and serving as a reference for the team. Key Highlights: 1. Work on business problems with direct impact on user experience 2. Develop statistical and machine learning models applied to the business 3. Collaborate with multidisciplinary squads and serve as a reference for the team **Genial Investimentos** is one of Brazil’s largest investment platforms. With over 2 million customers, we operate nationwide through our offices and partner advisors. We were founded with a clear purpose: **to democratize access to the financial market**, offering cutting-edge products, services, and technology for investors of all profiles — from beginners to professionals. We offer a comprehensive portfolio ranging from **fixed income, equities, investment funds, pension plans, and real estate investment funds**, to **digital banking services**, such as accounts with Pix, credit cards, and integrated payments. We also develop tailored solutions for enterprises, such as **Genial As a Service**, which provides banking infrastructure via API. More than a platform, we are partners in building a more prosperous, transparent, and accessible financial future. Want to learn more about Genial? Visit: https://www.genialinvestimentos.com.br **\#JoinGenial** **Responsibilities and Duties** **About the Role** We seek a **Senior Data Scientist** with a strong statistical foundation, mastery of classical Machine Learning modeling, and the ability to transform data into insights and solutions that directly impact the end-user experience. This professional will tackle specific business problems, applying analytical techniques to develop models, advanced analyses, and strategic recommendations — serving as a reference for other data scientists on the team. **Daily Activities** * Consume, process, and analyze large volumes of data, ensuring quality, integrity, and statistical consistency. * Develop statistical and machine learning models (primarily classical algorithms) applied to real business problems. * Conduct **clustering**, segmentation, and predictive modeling. * Build user-focused analyses, always emphasizing solution applicability and impact. * Create and evolve notebooks and pipelines in **Databricks**, with clean, efficient, and version-controlled code. * Design and conduct **cohort** analyses, behavioral metrics, and exploratory studies. * Collaborate with multidisciplinary squads (Product, Engineering, Business), translating needs into analytical solutions. * Monitor model performance, ensuring accuracy, stability, and continuous improvement. **Requirements and Qualifications** **Requirements and Qualifications** * Solid experience as a **Data Scientist** (Senior level), working on complex analytical problems. * Strong command of **statistics**, inference, probability, and applied mathematical techniques. * Experience with classical Machine Learning algorithms (regression, classification, trees, clustering, probabilistic models). * Experience with **Databricks** and **Python** notebooks. * Proven ability to structure end-to-end analyses — from exploration to final delivery. * Solid knowledge of data processing and manipulation. * Genuine concern for the **end user**, ensuring analytical outputs deliver real value. **Preferred Qualifications** * Knowledge of **SQL** for query construction and large-scale data manipulation. * Experience with **Power BI** for visualization and communication of results. * Hands-on experience with **cohort** analyses, user behavior metrics, and funnels. * Background in highly complex environments, especially **fintech, finance, or digital products**. * Familiarity with MLOps engineering concepts or best practices to facilitate operationalization. **Additional Information** * Health Insurance (Amil — co-payment) * Dental Insurance (Omint) * Life Insurance (Mapfre) * Meal Voucher and Food Voucher (Alelo) * Extended Maternity and Paternity Leave (Empresa Cidadã) * Childcare/Babysitting Assistance * Conexa Saúde * TotalPass and Wellhub * Profit-Sharing Program (PPR) **Our office is located in STATE at ADDRESS** **What Does It Mean to Be Genial?** It means pursuing excellence and making things happen. It means being talented, intelligent, curious, and embracing any challenge. It means presenting and defending your ideas. It means putting the customer first and being passionate about what you do. **Why Genial?** Because we are digital — but also human. If, like us, you believe investing doesn’t require a suit and tie, we want to meet you! **About Us** A company that invests in you! We simplify the financial market so our customers can make sound investment decisions. **Our Values** Deliver the best outcomes for our customers; Embed excellence in everything we do; Be a responsible, transparent, and sustainable company; Innovate to inspire; Be passionate about what we do; Continuously learn and improve.

Source:  indeed View original post
João Silva
Indeed · HR

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Indeed
João Silva
Indeed · HR
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