7 - 12 years
Posted:15 hours ago
• Conduct exploratory data analysis to uncover trends, patterns, and insights from complex datasets
• Design, train, and deploy machine learning and deep learning models for time series use cases such as demand forecasting, inventory management, and pricing
• Extract data insights, create visualizations, and communicate findings to technical and non technical stakeholders
• Build and maintain data science pipelines for model development, deployment, monitoring, and updates
• Collaborate with engineering, product, and business teams to integrate models into production systems and align with client goals
• Research and prototype new algorithms and modelling techniques to improve solution performance
• Monitor and evaluate model performance and iterate based on finding.
• Familiarity with deploying machine learning solutions and managing model lifecycle
• Ability to work with engineering and product teams to scope and deliver projects
• Ability to explain modelling choices, data assumptions, and outcomes to stakeholders
• Exposure to statistical methods, optimization, and model monitoring frameworks
• Prior experience working in CPG, FMCG, or retail industries is a plus.
Free courses, interview questions and practice for each skill.
Full Time
Asper.ai
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