Data Scientist

Company Description Smart Node, founded in 2015, is a leading Indian brand focused on enhancing everyday life through advanced home automation solutions. The company offers Wi-Fi and KNX-based systems designed for smarter, more efficient living, supported by in-house manufacturing and a skilled technical team. With over 200 channel partners, Smart Node delivers reliable installation, service, and support tailored to diverse customer needs. Trusted by architects, builders, and major institutions such as Indian Railways, hotels, and hospitals, the company has automated over 15,000 homes across India. Smart Node is working toward becoming India’s leading IoT-based electrical company by 2030, creating opportunities for professionals interested in cutting-edge smart home technologies.
Role Description The Data Scientist role at Smart Node is a full-time, on-site position based in Vadodara. In this role, the Data Scientist will gather, clean, and analyze data from various product, customer, and operational sources to generate meaningful insights. The role includes designing and implementing statistical models, building predictive and prescriptive analytics solutions, and creating dashboards and visualizations to support product, engineering, and business decisions. The Data Scientist will collaborate with cross-functional teams to optimize device performance, improve customer experience, and support strategic planning with data-driven recommendations. Responsibilities also include documenting methodologies, validating model performance, and communicating findings in a clear and actionable way to technical and non-technical stakeholders.
Qualifications
Strong foundation in Data Science and Statistics, including modeling, hypothesis testing, and experimental design.
Hands-on experience in Data Analytics and Data Analysis for problem-solving, performance monitoring, and decision support.
Proficiency in Data Visualization tools and techniques to create clear, impactful dashboards and reports.
Experience with programming languages such as Python or R, and familiarity with data libraries (e.g., pandas, NumPy, scikit-learn).
Knowledge of databases and SQL for data extraction, manipulation, and integration from multiple sources.
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
Ability to work on-site in Vadodara, collaborate with multidisciplinary teams, and communicate insights to diverse stakeholders.
Experience with IoT, time-series data, or smart home products is an advantage.

Work arrangement
No