About the Role
****What You'll Do:****
As an entry-level data analyst in the AI team, you will perform a variety of critical tasks to support the AI team in developing, evaluating, hardening Motive's AI products:
Data Exploration & Visualization: Investigating data to identify trends, anomalies, or patterns using tools like SQL, Tableau, Power BI, or Python libraries like Matplotlib or Pandas.
Performance Monitoring: Analyzing the performance metrics of AI models such as accuracy, precision, recall, F1 score, etc., and identifying areas for improvement.
Performance Hardening: Provide quantitative and qualitative insights for feature improvement, contributions in model development process through data or design.
A/B Testing & Experimentation: Conducting experiments to test the efficacy of AI models or changes to AI systems, using A/B testing or other experimental designs.
Root-Cause Problem Solving: Carry out failure investigation of AI events including but not limited to recalling a...
As an entry-level data analyst in the AI team, you will perform a variety of critical tasks to support the AI team in developing, evaluating, hardening Motive's AI products:
Data Exploration & Visualization: Investigating data to identify trends, anomalies, or patterns using tools like SQL, Tableau, Power BI, or Python libraries like Matplotlib or Pandas.
Performance Monitoring: Analyzing the performance metrics of AI models such as accuracy, precision, recall, F1 score, etc., and identifying areas for improvement.
Performance Hardening: Provide quantitative and qualitative insights for feature improvement, contributions in model development process through data or design.
A/B Testing & Experimentation: Conducting experiments to test the efficacy of AI models or changes to AI systems, using A/B testing or other experimental designs.
Root-Cause Problem Solving: Carry out failure investigation of AI events including but not limited to recalling a...
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