M
Posted 6 hours ago
Data Scientist
MAIData Scientist (Marketing)
Perks & benefits
Medical InsuranceHealth InsuranceCommission
Requirements
Degree in Statistics, CS, Data Science, or Economics, Statistical and experimental design skills, Proficiency in SQL, Python, or R, Experience with marketing analytics and attribution
Skills
PythonSQLA/B TestingCausal Inference
About the role
About the Company
MAI is on a mission to democratize advanced advertising technology. Founded by ad platform veterans from Google and Instacart, the company uses AI agents to automate and optimize performance marketing for small and mid-sized businesses. Having raised a $25 million Seed round led by Kleiner Perkins, MAI is scaling its product and engineering teams to build the future of autonomous growth marketing.
Responsibilities
- Design and implement rigorous experimentation frameworks, including A/B tests, traffic allocation, and incrementality tests
- Analyze ad and campaign performance across channels to provide actionable insights and recommendations
- Build data pipelines, processing logic, and observability dashboards to ensure data quality
- Develop and maintain data science models for attribution, causal inference, and predictive optimization
- Partner with marketing ops, product, and AI engineering teams to identify growth opportunities
- Translate complex analytical findings into clear, data-driven recommendations for stakeholders
Requirements
- Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field
- Strong statistical and experimental design skills (A/B testing, causal inference, uplift modeling)
- Proficiency in SQL, Python, or R
- Hands-on experience with data visualization tools and marketing data platforms
- Solid understanding of marketing analytics, including attribution and incrementality
- Ability to communicate technical insights to non-technical stakeholders
- Collaborative mindset for cross-functional teamwork
Preferred Qualifications
- Experience with marketing platforms like Google Ads or Meta Ads
- Familiarity with data pipelines and workflow tools such as Airflow, dbt, or Dataflow
- Exposure to cloud-based data infrastructure like BigQuery, AWS Redshift, or Snowflake
- Experience building dashboards for marketing observability
Benefits
- Base salary range of $160,000 to $225,000
- Meaningful equity stake
- Medical, dental, and vision coverage
- Competitive 401(k) program
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MAI · Mountain View
