Senior Field Scientist - Chicago
About The Position
Alembic is seeking a Senior Field Scientist in Chicago to lead data implementations that demonstrate Alembic's value to large enterprises. This role involves designing and executing field studies using customer data, applying analytical methods, and presenting findings to executives. The Senior Field Scientist will also mentor junior team members and contribute to evolving research processes. The position is based in Chicago due to the concentration of strategic enterprise accounts and the need for in-person collaboration. This role is ideal for individuals with experience in marketing mix modeling, multi-touch attribution, or media measurement who are looking to work on advanced causal AI solutions.
Requirements
- 5–8+ years in sales engineering, data science, analytics consulting, or a similar technical pre-sales role in B2B SaaS, data, cloud, or AI.
- A track record leading research implementations that validated a complex enterprise solution and moved a deal to close.
- Strong data analysis with scientific rigor; ability to design experiments and process large-scale enterprise data sets.
- 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) and understanding of their limitations.
- 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 Haves
- 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.
Responsibilities
- Design and execute complex field studies to test hypotheses about marketing effectiveness and validate Alembic's value.
- Lead data collection and requirements gathering with senior customer stakeholders.
- Apply rigorous analytical methodology to prepare and process customer data, ensuring scientific validity at enterprise scale.
- Develop and test hypotheses about marketing performance using experimental design principles.
- Present findings to C-level and senior customer stakeholders, translating complex analytical results into business impact.
- Serve as the scientific presence for Chicago-area accounts, building relationships with analytics, media, and finance teams.
- Collaborate with Enterprise AEs and Product to align research methodology with strategic objectives.
- Drive scalable research processes and best practices across the field science team.
- Mentor and develop junior field scientists in experimental design and analytical methods.
- Contribute to product roadmap discussions based on customer feedback and research outcomes.
- Establish frameworks for replicable field studies.
Benefits
- Meaningful equity at a Series B company
- High-impact research with elite clients
- Opportunity to work on cutting-edge technology
- Mentoring opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
