

Crossing Hurdles
Data Scientist | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Kaggle Grandmaster) on an hourly contract, offering $56–$77/hour, with flexible commitment (30–40 hrs/week or full-time). Requires strong Python skills, end-to-end ML experience, and Kaggle Grandmaster status. Remote work.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
616
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🗓️ - Date
December 28, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Leadership #NumPy #NLP (Natural Language Processing) #Data Science #Datasets #Pandas #Libraries #Data Analysis #Documentation #SQL (Structured Query Language) #ML (Machine Learning) #Python
Role description
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
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





