Senior Data Scientist

Vaga não está no LinkedIn

🕒 Agosto 19

🇨🇷 Costa Rica – Remoto

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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EX Squared

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2000

💼 Consultoria

🤖 Inteligência Artificial

🤝 B2B

Consulting • Artificial Intelligence • B2B

A EX Squared é uma consultoria de produtos e experiências digitais que auxilia empresas a transformarem iniciativas de IA e digitais de ambição em produção. Desde 2001, a empresa tem oferecido estratégia, UX/UI e experiências digitais multicanal, além de trabalhos de engenharia e infraestrutura de TI, e é especializada em GenAI, aprendizado de máquina, visão computacional e PLN. A EX Squared é parceira certificada da Optimizely e Sitecore e foca na construção de produtos digitais em escala empresarial e soluções avançadas impulsionadas por IA para grandes clientes B2B.

Descrição

• Develop, enhance, and support predictive and prescriptive models that solve complex business problems • Mine, cleanse, validate, and engineer data to ensure models use accurate and appropriate datasets • Identify and incorporate new data sources to improve analytical solutions and business outcomes • Apply Machine Learning, statistical analysis, mathematical modeling, and advanced analytical techniques to business challenges • Build, evaluate, tune, and continuously improve models based on performance and business impact • Contribute to implementing and operationalizing Machine Learning models using MLOps and production model lifecycle practices • Monitor model performance, adoption, implementation, and impact using metrics, scorecards, and dashboards • Collaborate with business stakeholders to validate model outputs and translate analytical findings into actionable recommendations • Partner with technology teams to support integrations between analytical solutions and broader technology environments • Work with Data Scientists and analytics professionals to ensure appropriate datasets, calculations, and methodologies are applied • Communicate methodologies, findings, recommendations, and model performance to technical and non-technical audiences • Contribute technical expertise, knowledge sharing, and guidance within the Data Science team • Navigate changing priorities and ambiguous problems with autonomy and a solution-oriented mindset

🎯 Requisitos

• Strong professional experience in Data Science, Advanced Analytics, Machine Learning, or related areas, with the seniority required to contribute effectively with minimal ramp-up time • Bachelor’s or Master’s degree in a relevant quantitative, analytical, or technical discipline, or equivalent professional experience • 4+ years of experience working with SQL or NoSQL database environments, including strong hands-on SQL capabilities • 2+ years of experience with scientific scripting or object-oriented programming, with strong practical experience using Python for Machine Learning and analytical modeling • 3+ years of experience with advanced analytical techniques such as Bayesian statistics, advanced regression analysis, supervised learning, unsupervised learning, or time-series analysis • Solid understanding of Machine Learning and MLOps, including how models are developed, evaluated, implemented, monitored, and improved • Experience manipulating, analyzing, and engineering complex datasets • Ability to select appropriate analytical approaches, models, and algorithms based on the business problem • Excellent analytical and logical problem-solving capabilities • Ability to clearly explain the methodology, reasoning, assumptions, and decisions behind analytical work • Excellent written and verbal communication skills • Confidence communicating with senior stakeholders and translating complex technical concepts into clear business insights • Ability to work effectively in a dynamic environment where priorities and requirements may evolve • Strong ability to receive and provide constructive feedback • High degree of autonomy, ownership, precision, and attention to detail • Experience taking Machine Learning models beyond experimentation and into production environments • Strong knowledge of MLOps practices and model lifecycle management • Experience working on complex predictive or prescriptive analytics initiatives • Experience with mathematical modeling, optimization, heuristic methods, or other advanced analytical approaches • Experience working in large-scale or complex enterprise environments • Demonstrated ability to translate Data Science findings into recommendations and outcomes that business stakeholders can understand and act upon • Experience collaborating across Data, Technology, and Business teams • Ability to anticipate challenges, proactively identify opportunities, and propose solutions • Strong professional presence combined with adaptability, collaboration, and critical thinking

🏖️ Benefícios

• Competitive compensation • Remote work from Costa Rica • Participation in high-impact Data Science and Machine Learning initiatives • Exposure to complex, large-scale analytical challenges • Collaboration with experienced Data Science, Analytics, Business, and Technology professionals • A dynamic environment focused on Data, AI, innovation, and continuous improvement • Opportunities for professional growth and continued learning