OverviewEngagement Type: Independent ContractorWork Mode: Fully RemoteHours: 30-40 hours/week or Full-Time (Versátil)About The Role We are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile.In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions.Key ResponsibilitiesAnalyze large, complex datasets to uncover patterns and generate actionable insightsBuild predictive models and ML pipelines across:Tabular dataTime-series dataNLPMultimodal datasetsDesign and implement validation strategies, experimental frameworks, and analytical methodologiesDevelop automated data workflows, feature pipelines, and reproducible research environmentsConduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigationsTranslate analytical results into clear recommendations for engineering, product, and leadership teamsCollaborate with ML engineers to productionize models and ensure reliable data workflows at scalePresent findings via dashboards, structured reports, and documentationRequired QualificationsKaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance)3-5+ years of experience in data science or applied analyticsStrong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.)Experience building ML models end-to-end (feature engineering, training, evaluation, deployment)Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysisFamiliarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools)Excellent communication ski