Job Description

The Opportunity: Be the Human Intelligence Behind Our Artificial Intelligence

Are you passionate about the intersection of data, AI, and real-world impact? Do you want to do more than just analyze datado you want to teach an AI how to think?

At MAI, we're not just building tools; we're building the future of growth marketing. Our mission is to create a truly autonomous system that plans, executes, and optimizes media buying from end-to-end, powered by cutting-edge Agentic AI. As one of our early Data Scientists, you will be at the very heart of our mission. This is a unique opportunity to work on the frontier of AI, moving beyond traditional machine learning into the exciting world of agentic systems. You'll get hands-on experience with the full lifecycle of an AI-native productfrom wrangling complex data and uncovering strategic insights to directly engineering the context and reasoning abilities of our AI agents.

If you thrive in a space where the playbook is still being written and are excited to learn and grow at an accelerated pace, this role is for you.

What You'll Do

• Become a Marketing Strategist : You'll dive deep into vast marketing datasets to uncover the why behind performance. You'll 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: You will be a key architect of our analytics agent's brain. This involves deep work in context engineeringcrafting prompts, designing semantic data layers, building robust data pipelines, and developing evaluation frameworks to ensure our agent provides accurate, insightful answers to our customers' toughest data questions.
• Build the Data Foundation for Intelligence : You'll take ownership of the data that fuels our agents. You will wrangle messy, multi-platform data into a pristine and powerful asset. More importantly, you'll 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 : You will 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 (e.g., Statistics, Data Science, Math, Computer Science), OR a Bachelor's degree with 2+ years of relevant industry experience.
• A genuine passion for AI-native solutions and a deep curiosity for how large language models and agentic systems can solve complex optimization problems.
• An eagerness to learn, adapt, and grow. You see ambiguity not as a challenge, but as an opportunity to create and define.
• Proficiency in Python and SQL, with hands-on experience in data manipulation (e.g., pandas) and analysis.
• Excellent communication skills and the ability to bridge the gap between technical details and business impact.

Why You'll Love Working At MAI

• Unparalleled Learning: You'll be working at the bleeding edge of Agentic AI. This isn't just a job; it's a masterclass in building the next generation of AI systems.
• High Impact: As an early member of a lean and powerful team, your work will directly shape our product, our culture, and the success of our customers.
• A Culture of Curiosity: We're a tight-knit team of passionate builders who value transparency, first-principles thinking, and a relentless drive to solve hard problems together.
• True Ownership: We believe in empowering our team. You'll have significant autonomy over your work and a clear path for growth as the company scales.

Are you ready to build the future with us? We can't wait to hear from you.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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