Job Description:

• Identifying the business problem and translating them into successful data science implementations
• Estimate how much time a project will require for completion, what are the bottlenecks, and stay on track regarding deliverables and deadlines
• In partnership with Data Engineering, designing and implementing data flows to support and enable data products
• Production support for ML models
• Build visualizations and insightful dashboards to support usage and understanding of your data products
• Implement controls in your products to ensure ongoing reliability and accuracy
• Conduct advanced univariate and multivariate analysis on large data sets to generate insights and recommendations in projects like NPS sentiment analysis, A/B testing, drivers analysis, and “best customer” attribute modeling
• Provide business expertise and guidance (consultative partnership) on how to apply DS products and insights within business operations and strategy
• Staying up to date with the latest developments in the area of data science