Senior Data Scientist

Summary

Join QuintoAndar's Data Science team as a senior data scientist to architect, develop, and deploy machine learning systems for chatbots and search. You will design and execute experiments, analyze diverse data to improve existing models or create new ones, and apply the scientific method to develop LLM-powered applications. Collaborate with a multidisciplinary team, including product managers, designers, and engineers. This remote-first position, based in Argentina, requires proficiency in programming, relational databases, and experience building and deploying machine learning models. Fluency in Spanish and working knowledge of English are essential. The role offers opportunities for professional growth and development within a high-impact project.

Requirements

• Proficiency in at least one programming language and relational database
• Experience developing models for digital products
• Ability to model problems, design solutions, and how to map them into a digital product experience
• Experience working in a multi-disciplinary enviroment with product, design, engineering and ops teams
• Understanding the trade off between the theoretical models, and the large scale application into production systems
• Proven experience in building, training and deploying models (life-cycle)
• Knowledge of a/b testing and other model benchmarking frameworks
• Willingness to learn and grow in a collaborative environment that values diverse perspectives
• Fluency in Spanish and working knowledge of English - we use English for code, documentation, tools, and technical references, as well as occasional interactions with international colleagues and partners

Responsibilities

• Architect, develop and deploy machine learning systems to production. The main use cases are related to chatbots and search
• Design and execute experiments
• Analyze a wide variety of data (structured and unstructured, observational and experimental) to improve current models or create new ones
• Apply the scientific method to develop LLM-powered applications, including testing different prompts, exploring and understanding LLM capabilities, evaluating agents and prompts, assessing AI application guardrails, and building PoCs to validate the feasibility of generative AI for product features
• Participate actively in discussions and decisions regarding the whole Data Science chapter (Guilds, Design Reviews, Demos, etc.)

Preferred Qualifications

• Have experience in working in digital two sided (or more!) marketplaces
• Have experience in dealing with large volume datasets
• Have deep knowledge of computer science, machine learning and statisical understanding
• Have deep analytical mindset in order to sustain model-related decisions with metrics and data
• Have knowledge of forecasting and impact estimation guidelines for model improvements
• Have multiple sucess cases of turning models into product features
• Take initiative to propose solutions and actively collaborate with the team
• Understand modern software architecture and how it affects the model implementation
• Knowledge of Google Cloud Platform environment (preferable) or any other cloud infraestructure

Benefits

• Friday flex (until 16:30hs)
• Work tools
• Birthday off
• Vacations according to Law (10 working days) + 5 extra days
• Classifieds Week (week between Christmas and New Year)
• OSDE or Swiss Medical (for you and your family)
• Parental license
• Fluency Academy
• Discounts on services
• Gympass