Senior Field Scientist - Chicago

The role

You will lead data implementations and design field studies to prove the value of the Causal AI platform to large marketers. You will apply analytical methods to customer data and present findings to executives.

What you will do

• Design and execute complex field studies to test marketing effectiveness
• Lead data collection and requirements gathering with senior customer stakeholders
• Apply analytical methodology to prepare and process customer data
• Develop and test hypotheses about marketing performance
• Present findings to C-level and senior customer stakeholders
• Serve as the scientific presence on the ground for Chicago-area accounts
• Collaborate with Enterprise AEs and Product to align research methodology
• Drive scalable research processes and best practices
• Mentor and develop junior field scientists
• Contribute to product roadmap discussions

Required qualifications

• 5–8+ years in sales engineering, data science, analytics consulting, or a similar technical pre-sales role in B2B SaaS, data, cloud, or AI
• Track record leading research implementations that validated a complex enterprise solution and moved a deal to close
• Strong data analysis with scientific rigor
• Advanced Python (or equivalent) for data preparation, quality testing, and statistical analysis
• Hands-on experience with marketing measurement — marketing mix modeling, multi-touch attribution, incrementality and lift testing, geo experiments, or holdout design
• Deep experience with data platforms, cloud infrastructure, or AI solutions
• Excellent communication and presentation skills for sharing findings with C-level executives
• Strong problem-solving mindset and scientific thinking
• Collaborative, proactive, with team leadership experience

Nice to have

• Background at a measurement or market-research firm, a media or creative agency, or the analytics function of a large advertiser
• Field studies or research implementations for data, cloud, or AI in a marketing context
• Prior work as a senior data analyst, business analyst, or technical consultant with experimental design experience
• Familiarity with enterprise procurement and security review processes
• Startup or high-growth experience scaling research methodology
• Advanced technical certifications (AWS Solutions Architect, GCP Professional) or expert-level AI/ML training
• Exposure to value engineering, ROI modeling, and business case development
• Previous startup or founder experience

Benefits

• Meaningful equity

About the company

Alembic is the pioneering Causal AI platform. They help the world's largest enterprises move past correlation to prove what actually drives business outcomes.