Senior Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EX Squared

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

EX Squared is a digital product and experience consultancy that helps enterprises move AI and digital initiatives from ambition into production. Since 2001 the firm has delivered strategy, UX/UI and multi-channel digital experiences plus engineering and IT infrastructure work, and specializes in GenAI, machine learning, computer vision, and NLP. EX Squared is a certified Optimizely and Sitecore partner and focuses on building enterprise-scale digital products and advanced AI-driven solutions for large B2B clients.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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