Data Scientist (Marketing)
MAI Agents
•
Mountain View, CA
0
0
0
0
Not Applicable
Posted April 5, 2026
Job link
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Responsibilities
Responsibilities
- Design and implement rigorous experimentation frameworks, including A/B tests, traffic allocation, incrementality tests, and metric definitions for marketing performance.
- Analyze ad and campaign performance across channels to provide actionable readouts, insights, and recommendations to guide marketing and growth strategy.
- Build data pipelines, processing logic, and observability dashboards to ensure data quality and transparency in marketing performance reporting.
- Develop and maintain data science models for attribution, causal inference (treatment effect, debiasing), predictive optimization, and marketing efficiency measurement.
- Partner closely with marketing ops, product, data, and AI engineering teams to identify growth opportunities and design robust experimentation strategies across human-led and AI-automated marketing initiatives.
- Translate complex analytical findings into clear, data-driven recommendations that influence business decisions and marketing strategy.
Not Met Priorities
What still needs stronger evidence
Requirements
- Strong statistical and experimental design skills (e.g., A/B testing, causal inference, uplift modeling).
- Proficiency in SQL, Python or R for data analysis and model development.
- Hands-on experience with data visualization tools and marketing data platforms.
- Solid understanding of marketing analytics concepts, including data tracking, attribution, and incrementality measurement.
- Ability to communicate complex technical insights clearly to non-technical stakeholders.
- Collaborative mindset with experience working in cross-functional teams (marketing, product, data engineering).
Preferred Skills
- Experience working with marketing data and platforms (e.g., Google Ads, Meta Ads, CRM, attribution platforms).
- Experience with marketing measurement frameworks.
- Familiarity with data pipelines and workflow tools (e.g., Airflow, dbt, Dataflow, or similar).
- Exposure to cloud-based data infrastructure (e.g., BigQuery, AWS Redshift, or Snowflake).
- Experience building dashboards for marketing observability and performance monitoring.
- Demonstrated ability to translate experimentation insights into optimization strategies.
Education
- (Not required) – Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field.
About Us
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, bringing our vision of intelligent, autonomous marketing to life. 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 and we couldn’t be more excited about building the future of growth marketing.
Why Join Now
Building the data insights layer for intelligent AI agents is uncharted territory—and we’re writing the playbook. As a a Data Scientist at MAI, you’ll be part of our data team, helping shape how we engage and scale with eCommerce brands.
What You’ll Do
Design and implement rigorous experimentation frameworks, including A/B tests, traffic allocation, incrementality tests, and metric definitions for marketing performance.
Analyze ad and campaign performance across channels to provide actionable readouts, insights, and recommendations to guide marketing and growth strategy.
Build data pipelines, processing logic, and observability dashboards to ensure data quality and transparency in marketing performance reporting.
Develop and maintain data science models for attribution, causal inference (treatment effect, debiasing), predictive optimization, and marketing efficiency measurement.
Partner closely with marketing ops, product, data, and AI engineering teams to identify growth opportunities and design robust experimentation strategies across human-led and AI-automated marketing initiatives.
Translate complex analytical findings into clear, data-driven recommendations that influence business decisions and marketing strategy.
What You'll Bring
Required:
Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field.
Strong statistical and experimental design skills (e.g., A/B testing, causal inference, uplift modeling).
Proficiency in SQL, Python or R for data analysis and model development.
Hands-on experience with data visualization tools and marketing data platforms.
Solid understanding of marketing analytics concepts, including data tracking, attribution, and incrementality measurement.
Ability to communicate complex technical insights clearly to non-technical stakeholders.
Collaborative mindset with experience working in cross-functional teams (marketing, product, data engineering).
Preferred:
Experience working with marketing data and platforms (e.g., Google Ads, Meta Ads, CRM, attribution platforms).
Experience with marketing measurement frameworks.
Familiarity with data pipelines and workflow tools (e.g., Airflow, dbt, Dataflow, or similar).
Exposure to cloud-based data infrastructure (e.g., BigQuery, AWS Redshift, or Snowflake).
Experience building dashboards for marketing observability and performance monitoring.
Demonstrated ability to translate experimentation insights into optimization strategies.
Why You’ll Love Working at MAI
Unparalleled Learning: You'll be at the forefront working with a world-class team.
High Impact: As an early member of a lean and powerful team, your work will directly shape our core platform, data insights, 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.
Compensation And Benefits
We're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally:
Salary: Depending on your years of experience, a base salary range of $160,000 to $225,000.
Equity: We want you to feel invested in our mission, which is why we offer meaningful equity.
Health and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family.
401(k): We'll help you build for your future with a competitive 401(k) program.
Are you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.
Compensation Range: $160K - $225K
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, bringing our vision of intelligent, autonomous marketing to life. 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 and we couldn’t be more excited about building the future of growth marketing.
Why Join Now
Building the data insights layer for intelligent AI agents is uncharted territory—and we’re writing the playbook. As a a Data Scientist at MAI, you’ll be part of our data team, helping shape how we engage and scale with eCommerce brands.
What You’ll Do
Design and implement rigorous experimentation frameworks, including A/B tests, traffic allocation, incrementality tests, and metric definitions for marketing performance.
Analyze ad and campaign performance across channels to provide actionable readouts, insights, and recommendations to guide marketing and growth strategy.
Build data pipelines, processing logic, and observability dashboards to ensure data quality and transparency in marketing performance reporting.
Develop and maintain data science models for attribution, causal inference (treatment effect, debiasing), predictive optimization, and marketing efficiency measurement.
Partner closely with marketing ops, product, data, and AI engineering teams to identify growth opportunities and design robust experimentation strategies across human-led and AI-automated marketing initiatives.
Translate complex analytical findings into clear, data-driven recommendations that influence business decisions and marketing strategy.
What You'll Bring
Required:
Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field.
Strong statistical and experimental design skills (e.g., A/B testing, causal inference, uplift modeling).
Proficiency in SQL, Python or R for data analysis and model development.
Hands-on experience with data visualization tools and marketing data platforms.
Solid understanding of marketing analytics concepts, including data tracking, attribution, and incrementality measurement.
Ability to communicate complex technical insights clearly to non-technical stakeholders.
Collaborative mindset with experience working in cross-functional teams (marketing, product, data engineering).
Preferred:
Experience working with marketing data and platforms (e.g., Google Ads, Meta Ads, CRM, attribution platforms).
Experience with marketing measurement frameworks.
Familiarity with data pipelines and workflow tools (e.g., Airflow, dbt, Dataflow, or similar).
Exposure to cloud-based data infrastructure (e.g., BigQuery, AWS Redshift, or Snowflake).
Experience building dashboards for marketing observability and performance monitoring.
Demonstrated ability to translate experimentation insights into optimization strategies.
Why You’ll Love Working at MAI
Unparalleled Learning: You'll be at the forefront working with a world-class team.
High Impact: As an early member of a lean and powerful team, your work will directly shape our core platform, data insights, 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.
Compensation And Benefits
We're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally:
Salary: Depending on your years of experience, a base salary range of $160,000 to $225,000.
Equity: We want you to feel invested in our mission, which is why we offer meaningful equity.
Health and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family.
401(k): We'll help you build for your future with a competitive 401(k) program.
Are you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.
Compensation Range: $160K - $225K