Applied Scientist: Causal AI for Enterprise Marketing

Mxv; San Francisco (CA); On-site; USD 235,000 - 258,000; Full time

Job summary

A leading AI science company in San Francisco is seeking an Applied Scientist to tackle complex marketing measurement challenges. The role involves designing innovative algorithms and collaborating with clients to ensure accuracy at scale. Ideal candidates will have at least 5 years of experience in research code and a strong mathematical background, including causal inference. The compensation ranges from $235K to $258K, with equity offers and the chance to work with cutting-edge technology in a dynamic startup environment.

Qualifications

• 5+ years developing and shipping research code in production environments.
• Practical experience applying causal methods to real problems.
• Experience in marketing analytics, A/B testing, or measurement domains.

Responsibilities

• Design and implement novel approaches to marketing measurement problems.
• Build production systems for causal inference maintaining statistical rigor.
• Collaborate with customers to develop technical solutions.

Skills

Mathematical background - statistics, probability, optimization, causal inference

Proficient Python development

Causal inference expertise

Experience processing and analyzing large datasets

Communication skills

Education

MS or PhD in related field

Job description

A leading AI science company in San Francisco is seeking an Applied Scientist to tackle complex marketing measurement challenges. The role involves designing innovative algorithms and collaborating with clients to ensure accuracy at scale. Ideal candidates will have at least 5 years of experience in research code and a strong mathematical background, including causal inference. The compensation ranges from $235K to $258K, with equity offers and the chance to work with cutting-edge technology in a dynamic startup environment.