Data Scientist (Kaggle Grandmaster) | $77/hr Remote

Position: Data Scientist (Kaggle Grandmaster) Type: Hourly Contract (Independent Contractor) Compensation: $56 – $77/hour Location: Remote Commitment: 30–40 hours/week (flexible; full-time optional) Role Responsibilities • Analyze large, complex datasets to uncover patterns, generate insights, and inform modeling strategies. • Build end-to-end predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, and multimodal datasets. • Design and implement robust validation strategies, experimentation frameworks, and analytical methodologies. • Develop automated data workflows, feature engineering pipelines, and reproducible research environments. • Conduct exploratory data analysis, hypothesis testing, and model-driven investigations to support research and product teams. • Translate analytical and modeling outcomes into clear, actionable recommendations for engineering, product, and leadership stakeholders. • Collaborate with machine learning engineers to productionize models and ensure data workflows operate reliably at scale. • Create structured dashboards, reports, and documentation to clearly communicate findings. • Support high-impact research and product initiatives through advanced analytical problem-solving. Requirements • Kaggle Competitions Grandmaster or equivalent demonstrated excellence (top-tier rankings, multiple medals, or exceptional competition performance). • Strong professional experience in data science or applied analytics. • Strong proficiency in Python and data science libraries such as Pandas, NumPy, Polars, and scikit-learn. • Hands-on experience building machine learning models end-to-end, including feature engineering, training, evaluation, and deployment. • Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis. • Experience working with modern data stacks, including SQL, distributed datasets, dashboards, and experiment tracking tools. • Excellent communication skills with the ability to clearly present complex analytical insights. • Ability to work independently in a remote, fast-paced research environment. • Strong analytical thinking and problem-solving skills with attention to detail. Application Process • Upload resume (Kaggle profile required) • Interview (15–30 min) • Submit form