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Senior Field Scientist
Alembic Technologies, Inc.. Design and execute complex field studies testing hypotheses about marketing effectiveness and validating Alembic's value .
Posted 9/17/2026full-timeChicago • Illinois • United StatesSenior💰 $170,000 - $190,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and experimental design to validate marketing effectiveness, leveraging advanced Python for data preparation and statistical analysis. Proven ability to communicate findings to C-level executives and mentor junior team members while driving scalable research processes.
Highest-signal resume keywords
Advanced PythonData AnalysisMarketing MeasurementExperimental DesignC-Level Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PreparationStatistical AnalysisMarketing Mix ModelingMulti-Touch AttributionIncrementality TestingLift TestingGeo ExperimentsHoldout DesignResearch ImplementationScientific Rigor
Soft Skills
Problem-Solving MindsetCollaborativeProactiveTeam LeadershipExcellent Communication
Tools & Technologies
Data PlatformsCloud InfrastructureAI Solutions
Certifications & Qualifications
AWS Solutions ArchitectGCP ProfessionalExpert-Level AI/ML Training
Industry Keywords
B2B SaaSField StudiesMarketing ContextValue EngineeringROI ModelingBusiness Case Development
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Design and execute complex field studies testing hypotheses about marketing effectiveness and validating Alembic's value
- Lead data collection and requirements gathering with senior customer stakeholders
- Apply rigorous analytical methodology to prepare and process customer data at enterprise scale
- Develop and test marketing-performance hypotheses using experimental design principles
- Present findings to C-level and senior customer stakeholders, translating analytical results into business impact
- Serve as the scientific presence for Chicago-area accounts and build relationships with analytics, media, and finance teams
- Collaborate with Enterprise AEs and Product to align research methodology with strategic objectives and support the sales process
- Drive scalable research processes and best practices across the field science team
- Mentor and develop junior field scientists
- Contribute to product roadmap discussions based on customer technical feedback and research outcomes
- Establish frameworks for replicable field studies across engagements
Requirements
What you’ll need- 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, including 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 C-level executives
- Strong problem-solving mindset and scientific thinking
- Collaborative, proactive, with team leadership experience
- Preferred: background at a measurement or market-research firm, media or creative agency, or large advertiser analytics function
- Preferred: field studies or research implementations for data, cloud, or AI in a marketing context
- Preferred: senior data analyst, business analyst, or technical consultant experience with experimental design
- Preferred: familiarity with enterprise procurement and security review processes
- Preferred: startup or high-growth experience scaling research methodology
- Preferred: advanced technical certifications such as AWS Solutions Architect or GCP Professional, or expert-level AI/ML training
- Preferred: exposure to value engineering, ROI modeling, and business case development
- Preferred: previous startup or founder experience
- Legally authorized to work in the United States
Benefits
Comp & perks- Meaningful equity at a Series B company
- Bonus
- Market-based compensation
- Generous equity program
- Transparent salary expectations
- Data-driven compensation decisions