Description

Lead the development of predictive analytics and consumer insight products focused on brand engagement.

Since is_remote, hybrid, and on_site are all 0, no work-mode line is included.

Responsibilities

• Develop new products and solutions providing advanced consumer insights and predictive analytics.
• Build Customer Lifetime Value (CLV) models to enhance brand capabilities.
• Perform data mining and statistical analysis on consumer profiles to drive platform development.
• Integrate third-party data sources, such as Shopify, to deepen consumer insight breadth.
• Present complex data findings to stakeholders through clear, high-stakes presentations.

Required Skills

• Minimum 4 years of experience as a Data Scientist.
• At least 8 years of professional experience in analytics or consumer insights.
• Expertise in Customer Lifetime Value (CLV) modeling.
• Proficiency in Python and SQL.
• Experience with ETL processes and moving data independently without BI team assistance.
• Proven ability to manipulate large datasets and build statistical models.
• Experience working with third-party data sources like Shopify.
• Bachelor's degree or higher in Computer Science, Engineering, Economics, Mathematics, Statistics, Data Science, or a quantitative field.
• Must be a US Citizen or Green Card holder.

Preferred Skills

• Collaborate with sales and product teams to identify growth opportunities.

Key Skills

Education

Any Graduate