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
Key Skills
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- Posted
- Jan 19, 2026
- Type
- Contract
- Level
- Associate
- Location
- United States
- Company
- Crossing Hurdles
Industries
Categories
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