Senior Data Scientist – Customer Insights

About SensorFlow: 

SensorFlow is a hospitality-first technology company helping hotels reduce energy waste, improve operations, and make better decisions with real data.  We help hotels reduce HVAC energy costs by 20–40% while maintaining guest comfort. We work with leading hospitality groups, including Accor, The Ascott, Shangri-La, Hilton, Marriott, and Hyatt across Asia Pacific, the Middle East, and beyond. We design everything specifically for hotels, recognising that no two properties operate the same. By combining automation with actionable data, we help teams move from guesswork to clear, confident decision-making. 

At SensorFlow, we value ownership, clarity, and continuous improvement. We work collaboratively, challenge ideas directly, and stay focused on delivering real outcomes for our customers.

If you want to work on meaningful problems in hospitality and sustainability, and be part of a team building with purpose and speed, we would love to hear from you.

Responsibilities:

• Develop, analyze, and interpret data models that help measure and forecast energy savings for clients, focusing on results that are clear and actionable for a wide audience.
• Work closely with the Customer Success and Operations teams to ensure data insights are presented in a customer-friendly format, facilitating understanding and engagement.
• Communicate complex analytical findings to non-technical stakeholders, creating visualizations, reports, and presentations that simplify technical information for end-users.
• Collaborate with cross-functional teams (e.g., Product, Engineering, Operations) to deliver insights aligned with business needs, keeping customer experience at the forefront.
• Partner with the data science and data engineering teams to ensure the accuracy, scalability, and usability of data models and reporting tools.
• Continuously research and apply industry best practices and emerging technologies to improve data interpretation and presentation methods.

Requirements:

• Master’s or PhD in a relevant field such as Data Science, Applied Mathematics, Statistics, Computer Science, or a related field.
• 5+ years of hands-on experience in data science, with a strong foundation in machine learning, statistical analysis, and data visualization.
• Proven ability to produce customer-centric reports and presentations, with experience tailoring insights for non-technical audiences.
• Expertise in Python and SQL, with proficiency in data visualization tools (e.g., Tableau, Looker) and familiarity with DBT a plus.
• Experience working with time-series data and building predictive models focused on energy consumption, occupancy, and other building performance metrics.
• Strong collaboration skills, with experience working closely with cross-functional teams to translate data insights into business actions.
• Exceptional written and verbal communication skills, with the ability to clearly explain complex data processes and findings.
• Background in energy management or building automation is a plus but not required.

Working at SensorFlow:

At SensorFlow, we’re made up of dreamers, achievers, and visionaries whose passion and belief in a greater cause drive us to do more and push the boundaries of innovation every day. If you want to work with fun-loving and diverse personalities in an environment that prioritizes your learning, development, and autonomy, then SensorFlow is the perfect place for you.