Senior Data Scientist - Temporary

At EX Squared LATAM, we are a digital transformation company focused on developing innovative, high-impact solutions that create real business value. We partner with leading organizations across global, regional, and local markets, fostering a collaborative, inclusive, and innovation-driven culture where every person’s ideas and expertise matter. About the Position Our client, a leading global organization in the foodservice and distribution industry, is strengthening its Data Science capabilities as part of its ongoing Data and AI transformation. We are looking for a Senior Data Scientist to join an experienced analytics team and contribute to advanced Machine Learning and Data Science initiatives. This is a highly hands-on role for someone with strong Python, SQL, Machine Learning, statistical modeling, and MLOps knowledge. You will work with complex datasets, develop and improve analytical models, and collaborate with business and technology stakeholders to turn data into meaningful business outcomes. We are looking for an experienced professional who can quickly understand an existing environment, work with a high degree of autonomy, and confidently explain the reasoning behind technical decisions. Strong communication skills are particularly important, as this role involves regular collaboration with both technical teams and senior business stakeholders. Location: LATAM Work arrangement: Remote Contract duration: 14 weeks Working hours: Eastern Time What You’ll Do Develop, enhance, and support predictive and prescriptive models that help solve complex business problems. Mine, cleanse, validate, and engineer data to ensure models are built using accurate and appropriate datasets. Identify and incorporate new data sources that can improve analytical solutions and business outcomes. Apply Machine Learning, statistical analysis, mathematical modeling, and other advanced analytical techniques to business challenges. Build, evaluate, tune, and continuously improve models based on performance and business impact. Contribute to the implementation and operationalization of Machine Learning models, applying a solid understanding of MLOps and production model lifecycles. Monitor model performance, adoption, implementation, and impact using appropriate 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 closely with Data Scientists and other analytics professionals to ensure the appropriate datasets, calculations, and methodologies are being applied. Clearly 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, curiosity, and a solution-oriented mindset. What You’ll Need to Succeed 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. What Will Make You Stand Out 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. Why EX Squared? At EX Squared, we believe in building strong, collaborative teams capable of creating meaningful impact. You will have the opportunity to contribute to sophisticated Data Science initiatives within a large-scale global environment undergoing an important Data and AI transformation. We especially value ownership, critical thinking, adaptability, communication, and collaboration. We are looking for professionals who bring strong technical expertise while remaining curious, pragmatic, and focused on generating real business value. What We Offer Competitive compensation. Remote work from Latin America. 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. Ready to Become an EXpert? If you are an experienced Data Scientist with strong Python, SQL, Machine Learning, and MLOps expertise, enjoy solving complex problems, and can confidently connect advanced analytics with business outcomes, we want to meet you. Join our team of EXperts! #ApplyNow