PriceHubble is a fast-growing European B2B SaaS company focused on transforming decision-making in real estate and finance through AI and big data.
The company operates in 11 markets across Europe, Asia, and North America, providing precise property valuations and market intelligence.
The Property Intelligence Tribe is responsible for delivering insights for informed real estate decisions, including property value assessments and market trend tracking.
As a Senior Data Scientist, you will design, implement, and maintain Automated Valuation Models (AVMs) for assessing residential property values.
You will develop product features that drive revenue growth and navigate cost-value trade-offs to deliver customer value.
Your role includes implementing solutions for over 10 countries while considering local specifics, leading projects from concept to launch, and improving the performance of ML models and pipelines.
You will maintain and monitor ML systems, communicate effectively with cross-functional partners, and write clear, maintainable code.
A growth mindset and continuous learning are essential, along with over 3 years of industry experience in machine learning and production ML pipelines.
AI fluency is required, with daily use of AI tools in your development workflow.
Requirements:
You must have over 3 years of industry experience applying machine learning to solve business problems and writing production ML pipelines.
A product-oriented mindset and enthusiasm for contributing to user-facing products are essential.
Excellent English communication skills, both spoken and written, are required for effective communication with cross-functional partners and mentoring fellow engineers.
You should value writing clear, simple, and maintainable code, understanding that code is read more often than it is written.
A growth mindset is necessary, with a commitment to continuous learning and seeking new challenges.
AI fluency is required, with daily use of AI tools in your development workflow.
Bonus points for previous experience in PropTech and proficiency in working with geospatial data and leveraging geospatial features.
Benefits:
You will receive a competitive salary to attract the best talents.
A Learning & Development program is offered to support your skills improvement and personal development success.
The company provides very well-located offices with a great remote work policy, allowing you to work from different places.
Flexible working hours and a focus on work-life balance are part of the benefits package.