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
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📍 - Location detailed
United States
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🧠 - 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