Senior Data Scientist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Manage comprehensive Data Science projects, from identifying needs to delivering outcomes.

• Convert business challenges and goals into statistical models, predictive algorithms, and Machine Learning solutions.

• Organize, structure, and document analytical projects to ensure governance, traceability, and scalability.

• Develop, validate, monitor, and enhance statistical and Machine Learning models.

• Collaborate with business teams and Data Engineering to establish requirements, data sources, and implementation strategies.

• Conduct exploratory analyses, data cleaning, and preparation.

• Define success metrics, track model performance, and suggest continuous improvements.

• Create executive materials, reports, and presentations, translating technical results for various audiences.

• Facilitate alignment and follow-up meetings with stakeholders, fostering incremental deliveries and ongoing feedback collection.

• Assess analytical approaches, risks, limitations, and trade-offs.

• Act as a technical reference, providing support to junior and mid-level data scientists through mentoring, technical reviews, and methodological guidance.

• Advocate for best practices in Data Science, model governance, and the development of the analytics community.

⛳️ Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Physics, Economics, Quantitative Social Sciences, or a related field.

• Postgraduate degree in Data Science, Statistics, Machine Learning, Artificial Intelligence, Operations Research, Analytics, or a related discipline.

• Significant experience as a Data Scientist, managing end-to-end projects.

• Advanced skills in SQL and programming in Python and/or R.

• In-depth knowledge of Statistics, Mathematical Modeling, Machine Learning, and data analysis techniques.

• Experience with code versioning using Git.

• Proven experience in building, validating, monitoring, and evolving statistical and predictive models.

• Familiarity with data architecture and data management, with regular interaction with Data Engineering teams.

• Capability to communicate results and recommendations to both technical and executive audiences.

• Preferred experience with Cloud environments (AWS, Azure, or GCP) and cloud services for data and Machine Learning.

• Preferred experience with MLOps, pipeline automation, and deploying models into production.

• Strong ability to tackle complex business challenges using data.

• Ability to independently lead projects with minimal oversight.

• Excellent communication skills for engaging with technical teams and executive stakeholders.

• Capacity to influence decisions through evidence-based analysis and recommendations.

• Collaborative spirit and a desire to share knowledge and develop others.

• Intellectual curiosity and a commitment to continually exploring new techniques, methodologies, and innovative solutions.

🏝️ Benefits

• Profit-sharing / Performance Bonus (PPR)

• Birthday day off

• Health insurance

• Dental insurance

• Telemedicine

• Home office allowance

• Life insurance

• Pharmacy benefit

• Corporate partner discounts

• Gym subsidy (Wellhub)

• On-site gym

• Christmas hamper

• Career progression path

• Corporate university

• Extended maternity and paternity leave

• Baby kit