Senior Field Scientist (AI)

Location: Chicago, Illinois; hybrid role with required in-person customer engagements

Salary: $170,000–$190,000 per year, plus equity and bonus

Company

hirify.global develops a Causal AI platform that helps large enterprises use causal evidence to evaluate marketing effectiveness and make major business decisions.

What you will do

• Design and execute complex field studies that test marketing-effectiveness hypotheses and demonstrate the value of the platform.
• Lead data collection, requirements gathering, data preparation, quality testing, and analysis using real customer data.
• Present analytical findings and business impact to C-level and senior customer stakeholders.
• Build relationships with analytics, media, and finance teams during Chicago-area customer engagements.
• Collaborate with Enterprise Account Executives and Product on research methodology, customer strategy, and product feedback.
• Develop scalable frameworks and best practices for repeatable field studies while mentoring junior field scientists.

Requirements

• 5–8+ years of experience in sales engineering, data science, analytics consulting, or a similar technical pre-sales role in B2B SaaS, data, cloud, or AI.
• Experience leading research implementations that validated complex enterprise solutions and supported deal closure.
• Advanced Python or equivalent programming skills for data preparation, quality testing, and statistical analysis.
• Hands-on experience with marketing measurement, including marketing mix modeling, multi-touch attribution, incrementality, lift testing, geo experiments, or holdout design.
• Strong experimental-design, scientific-thinking, problem-solving, communication, and presentation skills.
• Ability to work in Chicago in a hybrid, customer-facing role with regular in-person meetings; this is not a fully remote position.

Nice to have

• Experience at a measurement or market-research firm, media or creative agency, or large advertiser analytics organization.
• Experience with data platforms, cloud infrastructure, AI solutions, enterprise procurement, or security reviews.
• Startup or high-growth experience scaling research methodology.
• AWS Solutions Architect, GCP Professional, or advanced AI/ML training.
• Experience with value engineering, ROI modeling, business-case development, or founder work.

Culture & Benefits

• Work on causal measurement technology for Fortune 100 customers making multimillion-dollar marketing decisions.
• Meaningful equity participation at a Series B company that has raised $145 million.
• Research work combines scientific rigor with direct customer impact and product innovation.
• Opportunity to mentor analytical talent and help define scalable field-research practices.