Crossing Hurdles

Data Analyst | $56/hr Remote | Mercor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position at Mercor, offering $56/hr for a remote, hourly contract of 10–40 hours/week. Requires Kaggle Grandmaster status, strong data science experience, proficiency in Python and SQL, and excellent communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
448
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🗓️ - Date
December 5, 2025
🕒 - Duration
Unknown
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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
#Documentation #Data Analysis #AI (Artificial Intelligence) #NumPy #Data Science #Libraries #Pandas #ML (Machine Learning) #Storytelling #SQL (Structured Query Language) #Python #Datasets #Data Storytelling
Role description
At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models. Organization: Mercor Position: Data Scientist (Kaggle Grandmaster) Referral Partner: Crossing Hurdles Type: Hourly Contract Compensation: $56/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities (Training support will be provided) • Analyze large, complex datasets to identify patterns and generate actionable insights. • Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. • Design and implement rigorous experiment frameworks and validation strategies. • Automate workflows, feature pipelines, and reproducible research environments. • Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes. • Collaborate with ML engineers and research teams to productionize models at scale. • Present findings through clear documentation, dashboards, and reports. Requirements • Kaggle Competitions Grandmaster or equivalent achievement (multiple medals or top-tier rankings). • Strong experience in data science, analytics, or ML-driven research. • Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. • Solid knowledge of experiment design, causal inference, and statistical modeling. • Familiarity with SQL, distributed data systems, and experiment tracking tools. • Excellent communication and data storytelling skills. Application Process (Takes 20 min) 1. Upload resume 1. AI interview based on your resume (15 min) 1. Submit form