Pessoa Cientista de Dados - Sênior

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pessoa Cientista de Dados - Sênior based in Brazil.

This role is designed for a highly skilled Data Scientist who will work at the intersection of advanced analytics, machine learning, and statistical modeling to solve complex business problems using large and diverse datasets. You will be responsible for transforming raw structured and unstructured data into actionable insights that directly support strategic decision-making. The position involves building, validating, and deploying predictive models while ensuring scalability and reproducibility through strong engineering practices. You will collaborate with global, multidisciplinary teams in an environment that values innovation, experimentation, and data-driven thinking. Strong proficiency in Python, SQL, and modern data science libraries is essential, along with experience in cloud and distributed systems. This is a highly impactful role for someone who enjoys turning data into real-world business value and working on cutting-edge analytical challenges.

Accountabilities:

• Analyze large-scale structured and unstructured datasets to extract insights and support strategic and operational decision-making.
• Develop, validate, and optimize machine learning models and statistical solutions for complex business problems.
• Build clear and impactful data visualizations to communicate findings to technical and non-technical stakeholders.
• Design and execute data science experiments using Python-based tools and libraries, ensuring robustness and reproducibility.
• Collaborate with global teams to deliver end-to-end analytical solutions aligned with business needs.
• Apply software engineering best practices (version control, containerization, testing, and modular design) to data science workflows.
• Work with relational databases and large-scale data environments to ensure efficient data manipulation and access.

Requirements:

• Ph.D. (or strong academic background) in STEM-related fields such as Technology, Engineering, Mathematics, or similar quantitative disciplines.
• Bachelor’s degree is mandatory.
• Proven experience in Data Science, Machine Learning, and statistical modeling in production or applied environments.
• Strong programming skills in Python, including experience with Pandas, Scikit-learn, and Jupyter notebooks.
• Solid knowledge of SQL, PostgreSQL, and relational database systems.
• Experience handling large volumes of data and working with unstructured datasets.
• Familiarity with software engineering practices, including Git, Docker, and AWS.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Advanced English communication skills (mandatory for interviews and global collaboration).
• Portfolio demonstrating data visualization and analytical projects is highly desirable.

Benefits:

• Comprehensive health insurance coverage for employees and dependents (Bradesco or Unimed).
• Dental assistance with nationwide coverage.
• Meal or food allowance (employee choice).
• Childcare assistance and dependent support benefits.
• Life insurance coverage for employees and dependents.
• Gym membership support via corporate wellness programs.
• Employee Assistance Program (financial, legal, social, and psychological support 24/7).
• Discounts on education programs, language schools, and universities.
• Access to internal training platforms with thousands of courses in tech and soft skills.
• Certification reimbursement programs and professional development incentives.
• Flexible remote work model across Brazil.
• Opportunities for international mobility depending on performance and business needs.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1