Data Scientist

About MAI

At MAI (pronounced "my"), we're on a mission to democratize advanced advertising technology. We believe that cutting-edge marketing tools, once exclusive to large enterprises with massive budgets, should be accessible to everyone. Our platform uses AI agents to automate and optimize performance marketing, empowering small and mid-sized businesses to scale their ad spend profitably without the need for an agency or endless hours of manual campaign management.

Founded by ad platform veterans from Google and Instacart, we've successfully raised a $25 million Seed funding round led by Kleiner Perkins to accelerate our growth. This capital will be used to expand our product and engineering teams. Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend. Our client waitlist is growing by the day.

Why Join Now

You won't just be a cog in a large machine. You'll be an athlete on a small, focused team with immense impact and the ability to shape the future of our company. You'll have the unique chance to learn and grow your skillset, leaning on your specializations while taking on new projects and becoming more well-rounded in your career.

What You'll Do

• Become a Marketing Strategist: Dive deep into vast marketing datasets to uncover the "why" behind performance. Collaborate closely with our Machine Learning and Operations teams to translate your analytical insights into novel strategies that our AI agents will execute autonomously.
• Teach Our AI to Answer Questions: Be a key architect of our analytics agent's "brain". This involves deep work in context engineering—crafting prompts, designing semantic data layers, building robust data pipelines, and developing evaluation frameworks to ensure our agent provides accurate, insightful answers to customers' toughest data questions.
• Build the Data Foundation for Intelligence: Take ownership of the data that fuels our agents. Wrangle messy, multi-platform data into a pristine and powerful asset. Enrich our agents' capabilities by creating critical tools and signals, such as user funnel models, lifetime value (LTV) predictions, and marketing mix forecasts.
• Shape the Future of an AI-Native Product: Partner directly with our Product and Engineering teams to see your work come to life. Your analysis and models will directly influence the product roadmap, solve real customer problems, and deliver tangible value.

What You'll Bring

• A PhD or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or related discipline)
• Advanced proficiency in Python and SQL for data analysis, modeling, and pipeline development
• Strong foundation in statistics, machine learning, and experimental design methodology
• Experience building and evaluating predictive models in production environments
• Demonstrated ability to communicate complex analytical findings to both technical and non-technical stakeholders
• Passion for solving real-world problems and driving business impact through data-driven insights

This is an exceptional opportunity to join a well-funded startup at a pivotal growth stage, working with cutting-edge AI technology in the high-growth performance marketing space.

💰 Compensation not publicly listed. Market estimate for similar roles: from $125K, varying by experience and location.