576 to 600 of 779 Data Analyst Jobs

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel ...