Python Developer | 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