myDataValue is a well-funded startup seeking a founding ML/Data Engineer to enhance their AI agent for dynamic pricing and promotions in the short-term rental market. The agent currently uses a rules-based system but needs to transition to a more data-driven, ML-powered approach leveraging proprietary Booking.com, Airbnb, and scraped competitor data. This role is a direct hiring opportunity, not a product idea for the operator to build and sell.
What they want, where you stand, and the exact résumé edits to qualify.
Biggest lever: Develop and ship a small Django application with a PostgreSQL backend, incorporating basic data processing using pandas or a similar library, demonstrating an understanding of production-ready Python web development.
A starter prompt for Claude Code, what you'll need, and how to reach them.
You are a highly skilled Founding ML/Data Engineer applying for the myDataValue role described below. Draft a concise, impactful cover letter. Highlight my proven ability to ship clean production Python code using AI coding tools (Claude Code, Cursor), my experience with Django, PostgreSQL, and data processing (pandas), and my understanding of time series and causal inference concepts, even if my direct experience is more on the rapid prototyping side. Emphasize my startup experience and ability to thrive in ambiguity, drawing parallels to how I operate Lumivara's fleet of products. Show excitement for moving their rules-based system to a data-driven ML agent for dynamic pricing and promotions. Include my email for follow-up and attach a link to my GitHub/portfolio. The goal is to get an interview. Job Description: myDataValue | Founding ML/Data Engineer | REMOTE (UK only, + London WeWork a few days/month) | Full-time | £70k–£100k + up to 1% equity We're an AI agent that automates pricing and promotions for short-term rental operators on Booking.com and Airbnb. Bootstrapped to real revenue, recently funded, small team. Pitch: we sit on Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties. Our agent is rules-based where it should be data-driven. You'd be the founding ML/data hire fixing exactly that. You're a fit if you: * Ship clean production Python in a Django codebase, not just notebooks * Think in experiments and know correlation from causation (time series a plus) * Use frontier AI coding tools/agents to ship fast * Have startup experience and thrive in ambiguity Stack: Python, pandas, scikit-learn, PostgreSQL, ClickHouse, Django, time series, causal inference, AI agents. Email me at martin@mydatavalue.com.
myDataValue | Founding ML/Data Engineer | REMOTE (UK only, + London WeWork a few days/month) | Full-time | £70k–£100k + up to 1% equity We're an AI agent that automates pricing and promotions for short-term rental operators on Booking.com and Airbnb. Bootstrapped to real revenue, recently funded, small team. Pitch: we sit on Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties. Our agent is rules-based where it should be data-driven. You'd be the founding ML/data hire fixing exactly that. You're a fit if you: * Ship clean production Python in a Django codebase, not just notebooks * Think in experiments and know correlation from causation (time series a plus) * Use frontier AI coding tools/agents to ship fast * Have startup experience and thrive in ambiguity Stack: Python, pandas, scikit-learn, PostgreSQL, ClickHouse, Django, time series, causal inference, AI agents. Email me at martin@mydatavalue.com.
Build a small Django web app (e.g., a simple data ingestion/display tool) that connects to PostgreSQL and performs some basic data manipulation using pandas. Focus on clean Python code, testing, and understanding the Django ORM/MTV pattern (2-3 weeks project time to ship a working prototype). Explore tutorials on time series data handling with Python libraries relevant to Django context.
Standard for a solo operator building a fleet of products.
Common web framework, likely already used or easily picked up.
Postgres is a known, ClickHouse would be a learn-on-the-job expansion.
New: Causal inference and deeper time series analysis might require dedicated study to move beyond theoretical knowledge - ~1-2 weeks for focused review.
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The operator's entire business model is based on this.
Email martin@mydatavalue.com as specified in the hiring post.
“I'm a solo operator building a fleet of AI-powered products, and your search for a founding ML/Data Engineer immediately caught my eye. My expertise in shipping production Python quickly with AI coding tools, alongside my experience with Django and data systems, aligns perfectly with your need to transition from rules-based to a data-driven ML agent for dynamic pricing. I thrive in ambiguous, fast-paced environments and am excited by the prospect of building out your ML capabilities.”
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