
10,000+ employees
Founded 1973
🚘 Automotive
📦 Logistics
✈️ Travel
Automotive • Logistics • Travel
Localiza&Co. is a car rental company that offers a range of services including vehicle rentals, fleet management, and car subscriptions. With a presence in multiple Latin American countries like Argentina, Brazil, Colombia, Ecuador, Mexico, Paraguay, and Uruguay, Localiza&Co. is dedicated to providing convenient and efficient transportation solutions. They cater to both individual customers and businesses, offering services such as fast digital vehicle pickup, loyalty programs, and various vehicle options for different travel needs.
🕒 June 24
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
Founded 1973
🚘 Automotive
📦 Logistics
✈️ Travel
Automotive • Logistics • Travel
Localiza&Co. is a car rental company that offers a range of services including vehicle rentals, fleet management, and car subscriptions. With a presence in multiple Latin American countries like Argentina, Brazil, Colombia, Ecuador, Mexico, Paraguay, and Uruguay, Localiza&Co. is dedicated to providing convenient and efficient transportation solutions. They cater to both individual customers and businesses, offering services such as fast digital vehicle pickup, loyalty programs, and various vehicle options for different travel needs.
• We are seeking a Specialist Data Scientist with a strong foundation in applied statistics and experimental methods. Your mission will be to conduct deep exploratory analyses, design robust experiments including A/B tests, quasi-experiments and counterfactual analyses, and support evidence-based strategic decisions. • As part of the team, you will be responsible for designing experiments, developing Machine Learning and AI models, validating business hypotheses, and turning complex data into clear, actionable insights. • Your work will focus on topics such as customer retention (churn) and extracting value from the customer base, supporting strategic and product decisions. A leadership-oriented stance is expected, contributing not only in technical execution but also in defining analytical approaches and advancing the use of data across the business. • Plan, execute and analyze multivariate A/B tests, quasi-experiments, and counterfactual analyses, ensuring statistical validity and practical relevance; • Conduct detailed exploratory analyses to discover patterns, trends and optimization opportunities; • Lead statistical modeling and causal inference projects, translating results into business recommendations; • Serve as the technical reference for statistics and experimentation within the team; • Propose and implement frameworks for experiment monitoring and impact metrics; • Collaborate with business, product and operations teams to define hypotheses and structure tests collaboratively; • Ensure clear documentation and accessible communication of results for non-technical stakeholders; • Develop machine learning models focused on generating value for the company and our customers.
• Solid experience in applied statistics, experimentation and data analysis; • Strong command of A/B testing and quasi-experiments, multivariate experiments, and causal inference methods; • Advanced knowledge of statistical models, Machine Learning and Bayesian analysis; • Proficiency in Python and SQL; • Ability to translate complex statistical concepts into actionable business insights; • Experience with large volumes of data and analytical tools; • 5+ years of proven experience in data science, applied statistics or related areas. • Experience developing models on AWS; • Experience in customer retention (churn) projects; • Experience with LLMs, multimodal models and AI agents; • Relevant certifications in applied statistics, causal inference or digital experimentation; • Active participation in statistics, data science and applied research communities.
• 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
Apply Now🕒 June 24
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