Forward Deployed Analyst
Calyptus
Job Overview
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Job Description
Who You Are
- Proficient in Python
- Quantitative degree (mathematics, statistics, economics, physics, computer science, psychology, or related field)
- 1–4 years in data analysis, market research, consulting, or customer-facing technical roles
- Excellence at translating complex technical concepts for non-technical executives
- Proven ability to manage sophisticated customer relationships independently
- Thrives in ambiguous, fast-moving startup environments
Desirable
- Quick learner who can master new AI/ML platforms and concepts
- Able to identify root cause of technical issues in data and evaluation pipelines
What the Job Involves
As a Forward Deployed Analyst at Calyptus, the role serves as the critical bridge between the AI platform and the end user. Working directly with clients, the Forward Deployed Analyst configures synthetic populations that mirror real-world audiences and helps clients extract maximum value from behavioral insights.
This high-impact, customer-facing technical role operates at the intersection of AI, data science, and strategic consulting—ideal for someone with a quantitative/data science background looking to move into AI products.
- Transform Datasets to Onboard onto the Product: Design synthetic population queries by onboarding custom datasets for customers.
- Improve Data Pipelines: Diagnose data issues and partner with engineering to enhance platform capabilities.
- Build Confidence Through Rigor: Evaluate synthetic methodologies using established validation frameworks to build client trust in AI insights for high-stakes decisions.
- Lead Technical Engagements: Own the technical dialogue with customers—understand their data, design optimal solutions, and implement them collaboratively.
- Shape the Product: Represent the voice of the customer—gather field feedback and inform product priorities based on real implementation patterns.
- Scale Adoption: Enable customers to unlock full product value across the organisation through effective training, documentation, and use case storytelling.
You will work with high-agency individuals from all backgrounds across sales, marketing, engineering, and science.
Key skills/competency
- Python
- Data Analysis
- Client Relationship Management
- AI/ML Concepts
- Quantitative Analysis
- Strategic Consulting
- Problem Solving
- Communication Skills
- Data Pipeline Management
- Product Feedback Integration
How to Get Hired at Calyptus
- Research Calyptus's vision: Study their innovative AI platform, mission, and how they leverage synthetic data.
- Tailor your resume: Highlight Python proficiency, quantitative analysis, data analysis, and customer-facing technical roles.
- Ace the AI screening: Prepare thoroughly for Calyptus's automated assessment by understanding common analytical and technical questions.
- Showcase problem-solving: Be ready to discuss experiences in diagnosing data issues and translating complex technical concepts for diverse audiences.
- Demonstrate startup adaptability: Emphasize your ability to thrive independently in ambiguous, fast-moving environments and manage complex client relationships.
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