As a Data Scientist on the Marketing Optimization Analytics team, you will play a key role in using data and advanced analytics to drive growth and optimize marketing performance across the business.

This role is ideal for a highly skilled analytics professional with a strong background in marketing analytics, a passion for data-driven insights, and a desire to make a meaningful impact in the retail industry. If you are a creative problem-solver with a strong analytical mindset, we would love to have you on our team.

Key Responsibilities

• Leverage data and advanced analytics to support decision-making and drive innovation in marketing strategies

• Partner with cross-functional teams to define business objectives and develop data-driven solutions

• Build, deploy, and maintain predictive models and statistical analyses to optimize marketing campaigns and improve performance

• Conduct in-depth data analysis to identify trends, patterns, and actionable insights

• Clearly communicate findings, insights, and recommendations to technical and non-technical stakeholders

• Continuously monitor and evaluate marketing campaign performance, providing data-driven optimization recommendations

• Identify and integrate new data sources, tools, and analytical techniques to enhance marketing effectiveness

• Ensure data accuracy, integrity, and governance through rigorous quality checks and best practices

• Collaborate with IT and engineering teams to develop and maintain data infrastructure, analytics tools, and reporting solutions

• Stay current with industry trends and best practices in data science and marketing analytics

• Train and mentor junior data scientists and analysts, promoting best practices in modeling and analysis

• Uphold ethical standards and comply with data privacy regulations when handling sensitive data

• Proactively identify opportunities for process improvement and innovation in data collection, analysis, and reporting

• Participate in cross-functional initiatives supporting broader organizational goals

• Represent the Marketing Optimization Analytics team in stakeholder meetings and presentations