Remote Senior Applied Data Scientist

Description:

• PriceHubble is a European B2B company that creates innovative digital solutions for the financial and real estate industries, focusing on property valuations and market insights.
• The company utilizes big data, advanced analytics, and effective visualization to provide accurate data-driven insights for real estate and investment decisions.
• PriceHubble's product suite enhances transparency in the market and supports various stakeholders in the real estate value chain, including banks, asset managers, developers, property managers, and real estate agents.
• The company operates in 11 countries and employs over 200 people globally.
• The Senior Applied Data Scientist will work within the Property Intelligence Tribe, which is responsible for providing insights for informed real estate decisions.
• Responsibilities include designing, implementing, and maintaining Automated Valuation Models (AVMs) that assess residential property values.
• The role involves developing product features that drive revenue growth, navigating cost-value trade-offs, and implementing solutions that work across multiple countries.
• The Senior Data Scientist will lead projects from concept to launch, improve ML model performance, and maintain ML systems.

Requirements:

• Candidates should have a product-oriented mindset and a passion for contributing to user-facing products, viewing machine learning as a tool to deliver customer value.
• Excellent English communication skills, both spoken and written, are essential for effective collaboration with cross-functional partners and mentoring fellow engineers.
• A hands-on approach is required, with an emphasis on writing clear, simple, and maintainable code.
• A growth mindset is necessary, with a commitment to continuous learning and seeking new challenges.
• Candidates must have over 3 years of industry experience applying machine learning to solve business problems and writing production ML pipelines.
• Bonus qualifications include previous experience in PropTech and proficiency in working with geospatial data and leveraging geospatial features.

Benefits:

• The position offers a competitive salary to attract top talent.
• A Learning & Development program is available to support skill improvement and personal development.
• Employees benefit from well-located offices, a great remote work policy, and the flexibility to work from various locations.
• Flexible working hours are provided to promote work-life balance.