Position: Data Scientist (Kaggle Grandmaster)

Type: Hourly contract

Compensation: $56–$77/hour

Location: Remote

Commitment: Flexible engagement (30–40 hrs/week or full-time)

Role Responsibilities

• Analyze large, complex datasets to uncover patterns, generate insights, and guide modeling decisions.
• Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, and multimodal data.
• Design and implement robust experiment frameworks, validation strategies, and analytical methodologies.
• Develop automated data workflows, feature pipelines, and reproducible research environments.
• Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams.
• Translate modeling results into clear, actionable recommendations for engineering, product, and leadership stakeholders.
• Collaborate with ML engineers to productionize models and ensure data systems scale reliably.
• Present findings through structured dashboards, reports, and technical documentation.

Requirements

• Kaggle Competitions Grandmaster status or comparable top-tier competitive achievements.
• Strong proficiency in Python and data science libraries such as Pandas, NumPy, Polars, and scikit-learn.
• Hands-on experience building end-to-end ML models, including feature engineering, training, and evaluation.
• Solid understanding of statistical methods, experiment design, and analytical reasoning.
• Familiarity with modern data stacks, including SQL, dashboards, and experiment tracking tools.
• Excellent communication skills with the ability to clearly present analytical insights.
• Ability to work independently in a fully remote, contract-based environment.

Application Process

• Upload resume
• Interview (15 min)
• Submit form