Data Science Specialist

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

📋 Description

• We are looking for a Specialist Data Scientist with a solid background in applied statistics and experimental methods. Your role will involve performing in-depth exploratory analyses, designing robust experiments such as A/B tests, quasi-experiments, and counterfactual analyses, while supporting data-driven strategic decisions.

• As a member of the team, you will take charge of designing experiments, developing Machine Learning and AI models, validating business hypotheses, and transforming intricate data into straightforward, actionable insights.

• Your focus will be on areas like customer retention (churn) and maximizing value from the customer base, aiding in strategic and product decision-making. A leadership mindset is anticipated, contributing not just in technical execution but also in shaping analytical methodologies and enhancing the usage of data throughout the organization.

• Plan, execute, and evaluate multivariate A/B tests, quasi-experiments, and counterfactual analyses, ensuring both statistical validity and practical significance;

• Carry out comprehensive exploratory analyses to identify patterns, trends, and optimization possibilities;

• Lead projects in statistical modeling and causal inference, converting findings into business directives;

• Act as the technical resource for statistics and experimentation within the team;

• Suggest and establish frameworks for experiment monitoring and impact metrics;

• Work collaboratively with business, product, and operations teams to formulate hypotheses and design tests together;

• Guarantee clear documentation and effective communication of results for non-technical stakeholders;

• Create machine learning models aimed at generating value for both the company and our customers.

⛳️ Requirements

• Strong experience in applied statistics, experimentation, and data analysis;

• Proficient in A/B testing, quasi-experiments, multivariate experiments, and causal inference methodologies;

• Advanced understanding of statistical models, Machine Learning, and Bayesian analysis;

• Expertise in Python and SQL;

• Capability to convert complex statistical concepts into practical business insights;

• Experience with large datasets and analytical tools;

• Over 5 years of demonstrated experience in data science, applied statistics, or related fields;

• Familiarity with developing models on AWS;

• Background in customer retention (churn) initiatives;

• Experience with LLMs, multimodal models, and AI agents;

• Relevant certifications in applied statistics, causal inference, or digital experimentation;

• Active involvement in statistics, data science, and applied research communities.

🏝️ Benefits

• Profit sharing

• Company car

• Food allowance

• Meal voucher

• Health insurance

• Dental plan

• Gympass

• Private pension plan

• Home office allowance

• Allya

• Unlimited access to a variety of courses through our Localiza University

• Internal training and development programs

• Discounts on vehicle purchases and rentals