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Senior Data Scientist (Machine Learning / Data Science)

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Historic Center of São Paulo, São Paulo - SP, 01002-010, Brazil
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Job Summary: Youse is seeking a Senior Data Scientist to lead end-to-end development of Data Science solutions, build and maintain APIs and services, and mentor junior data scientists. Key Highlights: 1. Lead end-to-end development of Data Science solutions 2. Mentor junior data scientists 3. Collaborate with business areas to generate measurable impact Youse is hiring a **Senior Data Scientist**. **Responsibilities and Duties** * Lead end\-to\-end development of Data Science solutions, from conception through deployment and monitoring; * Design scalable data pipelines for ingestion, processing, and feature engineering (batch and near real\-time); * Develop, train, and validate Machine Learning models (classification, regression, survival analysis, recommendation, etc.); * Define and implement model versioning, reproducibility, and governance strategies; * Build and maintain APIs and services to deploy models into production; * Monitor model performance (drift, degradation, business metrics) and propose continuous improvements; * Collaborate with business areas to translate problems into analytical solutions and generate measurable impact; * Lead technical discussions, support architectural decisions, and promote best practices within the team; * Mentor junior data scientists, fostering the team’s technical growth; * Ensure technical documentation and clear communication with both technical and non-technical stakeholders. **Requirements and Qualifications** * Proven experience in Data Science / Machine Learning in production environments; * Advanced proficiency in Python (pandas, scikit\-learn, numpy, etc.); * Experience building data pipelines and handling large-scale data (Spark/PySpark or equivalent); * Strong knowledge of SQL and data modeling; * Practical experience deploying models (APIs, batch jobs, microservices); * Knowledge of cloud platforms (AWS, GCP, or Azure), including data and ML services; * Experience with code and model versioning (Git, MLflow or similar); * Solid understanding of statistics and model evaluation; * Ability to work autonomously and lead initiatives from start to finish; * Strong communication skills for interacting with business areas and technical teams. **Preferred Qualifications:** * Experience with production ML architectures (MLOps); * Familiarity with tools such as Databricks, SageMaker, Airflow, or similar; * Experience with pricing, churn, recommendation, or risk models; * Knowledge of data streaming (Kafka, Kinesis, or similar); * Experience with infrastructure-as-code (Terraform or similar); * Experience in high-scale environments and cross-functional teams; * Prior experience in insurance, financial services, or marketplace sectors; * Knowledge of advanced techniques (Deep Learning, NLP, etc.). **Additional Information** Work Model: Hybrid (2 days onsite per week, 3 days remote) Working Hours: 7.5 hours/day Employment Type: CLT Location: Pinheiros/SP **Youse Seguros is a brand of CAIXA Group and CNP Assurances**, founded in 2016\. Throughout this journey, we have issued **over 1.7 million contracts** and earned our customers’ trust: more than **80% choose to renew with us**. Leveraging cutting-edge technology and the talent of our people, we create simple, fast, and personalized experiences. Here, we **innovate and deliver results — genuinely, consistently, and continuously**. **We live our customers’ daily reality**, meaning we are guided by data and active listening. We have a **Growth Mindset**, taking ownership and acting proactively. We constantly evolve with creativity and adaptability, tackling challenges with a **Fresh Perspective**. We foster a **Connection You Can Feel**, translating into genuine collaboration and mutual trust — because that’s how we grow together. All of this with a **clear purpose**: #### **Making ‘feeling secure’ a daily experience.**

Source:  indeed View original post
João Silva
Indeed · HR

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