Hiring: Senior Field Scientist - Chicago Company: Alembic Technologies Location: Chicago, IL Job Posted Time: 2026-09-17 02:54:55 Employment Type: Remote Target Skills & Keywords : AES, AWS, GCP, Python, SaaS About the job Experience: •8+ years in sales engineering, data science, analytics consulting, or a similar technical pre-sales role in B2B SaaS, data, cloud, or AI. Required Skills: •This seat is in Chicago because a concentration of our most strategic enterprise accounts is here, and this work does not happen over video. You'll be in the room for the data-requirements conversations, the readouts, and the moments where a study changes how a Fortune 100 marketing organization allocates its budget. •If you've spent your career inside marketing mix modeling, multi-touch attribution, or media measurement — at a measurement firm, a holding-company agency, or a Fortune 100 brand's analytics group — you already know where correlation-based attribution runs out of road. This is the chance to work on what replaces it. •Design and execute complex field studies that test hypotheses about marketing effectiveness and validate Alembic's transformational value. •Lead data collection and requirements gathering with senior customer stakeholders, treating each engagement as a scientific research opportunity. •Develop and test hypotheses about marketing performance, using experimental design principles to structure customer engagements. •Present findings to C-level and senior customer stakeholders, translating complex analytical results into business impact. •Serve as the scientific presence on the ground for Chicago-area accounts — building the working relationships with analytics, media, and finance teams that let a study actually get the data it needs. •Partner cross-functionally with Enterprise AEs and Product to align research methodology with strategic objectives and ensure scientific rigor supports the sales process. Qualifications: •Applied hands-on capability in marketing measurement — marketing mix modeling, multi-touch attribution, incrementality and lift testing, geo experiments, or holdout design — and a clear-eyed view of what each method can and can't establish. •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. •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. •Operational familiarity with enterprise procurement and security review processes. •Startup or high-growth experience scaling research methodology. Compensation: •$170,000 - $190,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!