Senior Applied AI/ML Scientist - Brand Growth

📋 Description

• Own applied ML projects end-to-end: framing the problem, building and shipping the model, and
• Optimize marketing and acquisition spend for acquiring new brands through targeting, lookalike
• Predict brand lifetime value to prioritize brand leads for sales and to personalize new-brand
• Improve cold-start recommendations and exploration so that new brands find the right retailer
• Identify and enrich brand leads from internal and external data (e.g. retailer search behavior
• Use experimentation and causal inference to measure the effectiveness of growth and spend levers.

🎯 Requirements

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e-commerce)
• Experience with relevant technical methods (LTV modeling, NLP, LLMs, causal ML, bidding
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision

🎁 Benefits

• Competitive pay, equity, and comprehensive benefits
• Hybrid work model (3 days per week in office) with flexibility to work remotely up to 4 weeks per
• Move fast: own meaningful problems with agency to move fast and see results
• Equipped to scale: invest in what matters, including the latest enterprise AI tools
• Best in class: sharp, kind, and generous colleagues
• Belonging: intentional about building an environment with equal access to opportunities, growth