<div><div>About SensorFlow SensorFlow is a leader in IoT-driven energy management, transforming how buildings operate to achieve smarter, more sustainable energy outcomes. Our data is at the heart of delivering measurable impact, and we’re looking for a Data Science Lead to drive this forward. This role is a rare opportunity to lead a talented data science team and guide the development of models, insights, and tools that directly support customer outcomes, product innovation, and operational excellence. About the Role We’re seeking a strategic and hands-on Data Science Lead who can set the vision for data science at SensorFlow and mentor a growing team. This role requires deep technical expertise, strong leadership, and the ability to work across functions to turn complex data into scalable products and customer-facing insights. You will lead a team of two data scientists and work closely with Product, Engineering, Customer Success, and Operations. Key Responsibilities <ul><li>Lead and mentor a team of data scientists, providing technical direction, setting standards, and overseeing the development of high-quality models, pipelines, and customer-facing outputs. </li><li>Drive data science strategy in alignment with company goals—across customer reporting, savings measurement, predictive modeling, and product feature development. </li><li>Act as the bridge between technical and non-technical teams, ensuring that data science outputs are actionable, scalable, and easy to understand by diverse stakeholders. </li><li>Guide the design and validation of predictive models using time-series and occupancy data to forecast energy consumption and savings. </li><li>Oversee and improve model explainability and communication, ensuring that insights are clear for customers and internal teams. </li><li>Collaborate with Data Engineering on building robust data infrastructure and pipelines, ensuring data accuracy and model scalability. </li><li>Stay up-to-date with advances in data science, machine learning, and energy analytics, and apply relevant techniques and tools. </li><li>Contribute to hiring, onboarding, and upskilling efforts as the data team scales. </li></ul>Requirements<ul><li>6+ years of experience in data science, with a proven track record of leading technical teams and delivering production-level models and reporting pipelines.</li><li>Advanced degree (Master’s or PhD) in Data Science, Machine Learning, Applied Mathematics, Computer Science, or a related field.</li><li>Strong expertise in Python, SQL, and modeling time-series data. Familiarity with DBT, cloud data warehouses (e.g., BigQuery, Snowflake), and data visualization platforms (Looker, Tableau) is a plus.</li><li>Deep understanding of statistical modeling, machine learning, and data storytelling.</li><li>Demonstrated success working cross-functionally and communicating data science outputs to business and customer-facing teams.</li><li>A collaborative and pragmatic approach to leadership—mentoring junior data scientists while being hands-on when needed. </li><li>Experience in the energy, proptech, or IoT space is advantageous but not essential. </li></ul> Working at SensorFlowAt SensorFlow, we combine purpose with innovation. We’re a passionate, multi-cultural team focused on making buildings smarter and more efficient. We empower our people with autonomy, challenge them to grow, and celebrate progress—big and small. Join us if you want to lead meaningful work in an environment that values both impact and collaboration.</div></div>

SensorFlow is a Singapore government-funded company who make smart energy-efficient hotels a reality. Their wireless room automation &amp; energy management solutions are flexible, easy to install and have provided proven energy savings of up to 30% per room per year. Their goal is to make the world a greener place and develop new innovative, affordable sustainable solutions.

Data Science Lead

About the Job

About the Company

Sensor Flow

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