Senior Data Scientist

EX Squared

Senior Data Scientist advancing a global foodservice organization’s Data and AI transformation. Building production-ready predictive models and translating complex analytics into business outcomes.

Posted 8/19/2026full-timeRemote • 🇨🇷 Costa RicaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science and Advanced Analytics, with a strong focus on Machine Learning, MLOps, and model lifecycle management. Capable of translating complex analytical findings into actionable business insights while collaborating effectively across teams.

Highest-signal resume keywords

Machine LearningMLOpsSQLPythonAdvanced Analytical Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SciencePredictive ModelingPrescriptive ModelingStatistical AnalysisMathematical ModelingBayesian StatisticsRegression AnalysisSupervised LearningUnsupervised LearningTime-Series Analysis

Soft Skills

Analytical Problem-SolvingCommunication SkillsCollaborationAdaptabilityCritical Thinking

Tools & Technologies

SQL DatabaseNoSQL DatabaseMLOps ToolsDashboardsScorecards

Industry Keywords

Data EngineeringBusiness AnalyticsModel Performance MonitoringData IntegrationEnterprise Environments

Tech Stack

Tools & technologies

NoSQLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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