Python Developer | Remote

Type: Hourly Contract (Independent Contractor)

Compensation: $56 – $77/hour

Location: Remote

Commitment: 30–40 hours/week (flexible; full-time optional)

• 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 product ionize 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.

• Kaggle Competitions Grand master 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, Num Py, 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.