Senior Data Scientist - Portfolio in Brazil at Jobgether

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Scientist – Portfolio based in Brazil.

As a Senior Data Scientist, you will develop advanced AI and machine learning solutions that optimize product portfolios and drive data-informed business decisions. You will work on high-impact challenges spanning recommendations, personalization, forecasting, segmentation, and commercial optimization. Collaborating with multidisciplinary teams, you will transform complex datasets into scalable, production-ready solutions that deliver measurable business value. You will help shape machine learning strategies, champion innovative techniques, and establish best practices across the data science lifecycle. The role combines hands-on technical expertise with architectural guidance, experimentation, and continuous improvement. You will also mentor fellow data scientists and partner with engineering, product, and business stakeholders in a collaborative, agile, and globally connected environment.

• Design, develop, and deploy advanced machine learning and deep learning models for portfolio optimization, recommendations, personalization, promotions, segmentation, data imputation, and insight discovery.
• Analyze complex datasets to uncover business opportunities, generate actionable insights, and support strategic decision-making through robust statistical modeling and predictive analytics.
• Drive innovation by evaluating and adopting emerging machine learning techniques, advanced algorithms, and AI-driven approaches to solve complex business challenges.
• Architect, develop, and optimize large-scale data processing workflows using cloud technologies and distributed computing platforms, including Azure, Databricks, Spark, and PySpark.
• Build and maintain reliable, scalable data pipelines and modeling workflows using Python and PySpark, incorporating automation and reusable components to improve efficiency and reduce operational overhead.
• Ensure models are production-ready, balancing predictive accuracy, stability, explainability, scalability, and real-world business constraints.
• Establish and promote best practices for experimentation, model validation, performance evaluation, version control, CI/CD, and reproducible machine learning workflows.
• Collaborate closely with data engineers, product managers, and business stakeholders to translate business objectives into technical requirements and deliver end-to-end data science solutions.
• Mentor junior and mid-level data scientists, share technical knowledge, and contribute to a culture of experimentation, technical excellence, and continuous learning.

• Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative discipline. A master's degree is preferred, and a PhD is considered an advantage.
• Demonstrated experience applying machine learning and statistical modeling techniques in production environments, with a track record of delivering measurable business impact.
• Strong proficiency in Python for data analysis, model development, experimentation, and production workflows.
• Experience with distributed data processing technologies such as Spark and PySpark, with familiarity with cloud-based platforms such as Azure and Databricks considered a strong advantage.
• Solid understanding of model evaluation, validation methodologies, experimentation frameworks, and statistical rigor, preferably in complex or high-impact decision-making environments.
• Experience with modern machine learning development practices, including version control, CI/CD, automation, and reproducible research and modeling workflows.
• Ability to design and implement scalable data pipelines, optimize computational workflows, and develop reliable machine learning solutions for real-world applications.
• Proficiency in using AI coding agents and developer tools responsibly and effectively to accelerate development while maintaining code quality, security, and production standards.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts, models, and results to both technical and non-technical audiences.
• Strong analytical thinking, curiosity, creativity, and independence, with the ability to challenge assumptions, explore innovative approaches, and reason through complex systems.
• Proven ability to take ownership of technical initiatives, collaborate across multidisciplinary teams, and mentor colleagues while contributing to shared business goals.

• Performance-based bonus, subject to applicable rules.
• Attendance bonus, subject to applicable rules.
• Private pension plan.
• Meal allowance.
• Health, dental, and life insurance.
• Discounts on medicines.
• Wellhub partnership to support health and well-being.
• Childcare subsidies.
• Discounts on company products, subject to applicable rules.
• Access to Clube Ben partnership benefits.
• Scholarship opportunities, subject to applicable rules.
• School materials assistance.
• Access to language-learning and professional training platforms.
• Transportation allowance.
• Additional days off, subject to applicable rules.
• Casual office environment and dress code.