Machine Learning Data Analyst - Python

Key Responsibilities:

• Collaborate with Machine Learning Development Engineers to create dashboards and Key Performance Indicators (KPIs) for data monitoring and analysis. - Work with cross-functional teams to gather requirements, prioritize tasks, and deliver high-quality KPI metrics that aid in product decision-making. - Partner with the database management team to understand underlying data structures, ensuring data availability and quality for ML model pipelines and dashboard creation. - Liaise with MLOps Engineers and ML Engineers to identify important KPIs for model development, tracking, and performance monitoring. - Ensure dashboards are user-friendly, visually appealing, and provide actionable insights for data monitoring analysts and stakeholders. - Implement best practices for dashboard design, data visualization, and user interface design for KPI tracking of ML products. - Provide training and support to data monitoring analysts and end-users on effectively utilizing dashboards for data analysis and decision-making. - Stay updated on industry trends and best practices in machine learning model tracking, data visualization, and user interface design. Qualifications Required:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. - Minimum 3 years of relevant experience in Machine Learning. - Strong software development skills in Python and Bash scripting, with a focus on clean, well-tested, and documented code. - Experience in automating data collection and processing for ML model training and inference pipelines. - Proficiency in maintaining data quality, understanding complex data structures, and collaborating with MLOps engineers. - Ability to define specific KPIs for monitoring ML models, ensuring they are actionable, measurable, and aligned with business objectives. - Excellent communication and collaboration skills with the ability to work effectively in cross-functional teams. Key Responsibilities: