Senior Machine Learning Scientist
Job Description & How to Apply Below
Become a Senior Machine Learning Scientist at Faire, specializing in Retailer Growth initiatives. Use machine learning for innovative strategies in enhancing retailer engagement and performance.
As part of the Retailer Growth team, you will develop cutting-edge ML systems targeting new retailer activation via paid marketing. Engage in a dynamic environment where you will analyze data to drive efficient marketing practices, AEO optimization, and autonomous content generation.
Your role will be vital in shaping a robust data science strategy at Faire.
Key Responsibilities:
• Create AI/ML solutions for retailer activation and marketing
• Optimize bidding and targeting strategies for campaigns
• Conduct experimentation to quantify marketing effectiveness
• Collaborate with diverse teams for product development
• Automate user experience personalization using AI insights
Requirements:
• Over 3 years working with machine learning solutions
• Proven ability to work autonomously on ML projects
• Strong skills in programming and data analysis
• Knowledge of growth marketing, SEO, and AEO techniques
• Master's or PhD in Computer Science or related fields preferred
Drive innovative ML applications at Faire to support local retailers in a competitive landscape.
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Position Requirements
10+ Years
work experience
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