Senior Field Scientist
Leads design and execution of field studies using customer data to validate marketing effectiveness of AI, cloud, and data solutions. Presents findings to C-level stakeholders, mentors juniors, and drives research methodology in pre-sales for enterprise clients. Requires 5+ years in sales engineering or data science with strong Python and analytical skills.
About the job
What You'll Do
Research & Analysis
- Design and execute complex field studies that test hypotheses about marketing effectiveness, validating Alembic's transformational value
- Lead data collection and requirements gathering with senior customer stakeholders, treating each engagement as a scientific research opportunity
- Apply rigorous analytical methodologies to prepare and process customer data, ensuring scientific validity for enterprise-scale research implementations
- Develop and test hypotheses about marketing performance, using experimental design principles to structure customer engagements
Research Communication & Collaboration
- Present compelling research findings to C-level and senior customer stakeholders, translating complex analytical insights into business impact
- Collaborate with Enterprise AEs and Product teams to align research methodologies with strategic objectives and ensure scientific rigor supports the sales process
- Drive scalable research processes and best practices across the field science team
- Mentor and develop junior field scientists in proper experimental design and analytical methodologies
Product & Process Innovation
- Contribute to product roadmap discussions based on customer technical feedback and research outcomes
- Establish frameworks for replicable field studies that can be systematically applied across customer engagements
What Will Help You Succeed
Core Research & Technical Skills
- 5-8+ years in Sales Engineering, Data Science, or similar pre-sales technical roles in B2B SaaS, data, cloud, or AI
- Proven track record leading successful research implementations that validated complex enterprise solutions and progressed deals to close
- Strong data analysis skills with scientific rigor, including ability to design experiments and process large-scale enterprise data sets
- Advanced proficiency in Python and/or other scripting languages for data preparation, quality-testing, and statistical analysis
Domain Expertise
- Deep experience with data platforms, cloud infrastructure, or AI solutions
- Excellent communication and presentation skills for sharing research findings with C-level executives
- Strong problem-solving mindset and scientific thinking ability
- Collaborative and proactive approach with team leadership experience
- Ability to travel occasionally
Preferred Qualifications
- Experience conducting field studies or research implementations for data, cloud, or AI in marketing contexts
- Background as a senior data analyst, business analyst, or technical consultant with experimental design experience
- Deep familiarity with enterprise procurement and security review processes
- Startup or high-growth environment experience with scaling research methodologies
- Advanced technical certifications such as AWS Solutions Architect or GCP Professional
- Ability to create and manage scalable research frameworks and reusable analytical assets
- Experience working with marketing customers and understanding their technical landscape
- Previous startup or founder experience
- Expert-level technical training or certifications in AI/ML
- Experience contributing to product strategy and roadmap decisions based on research outcomes
- Advanced exposure to value engineering, ROI modeling, and business case development through scientific analysis
Skills
Python, Data Analysis, Statistical Analysis, Experimental Design, AWS, GCP, AI, Cloud Infrastructure, Data Platforms, Roi Modeling
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