Data Scientist II

• Conduct advanced data analysis on large datasets (clickstream, sales, user behavior) to uncover actionable insights.

• Develop, implement, and maintain machine learning models for recommendations, personalization, customer segmentation, demand forecasting, and price optimization.

• Design and analyze A/B tests to evaluate product features, marketing campaigns, and user experience.

• Collaborate with data engineers to ensure robust, scalable data pipelines and model deployment.

• Partner with product, marketing, and engineering teams to define analytical approaches and deliver insights.

• Develop dashboards using modern visualization tools to track key performance metrics.

• Perform exploratory data analysis to detect trends, anomalies, and patterns guiding business strategy.

• Apply statistical and machine learning methods to optimize supply chain, customer acquisition, retention, and pricing models.