Data Scientist

Job Summary: We are seeking a highly skilled and analytical Data Scientist with hands-on experience in designing, developing, and deploying data-driven solutions. The ideal candidate will have strong expertise in data analysis, machine learning, and cloud-based model deployment preferably on Google Cloud Platform (GCP). This role involves working closely with cross-functional teams to translate data into actionable insights that enhance business decisions, optimize user experiences, and drive measurable outcomes across web and mobile applications, including React-based environments. Key Responsibilities: 1. Data Analysis and Modelling: Analyse large-scale datasets from web and mobile applications (including React-based systems) to identify trends, patterns, and actionable insights. Design and develop machine learning, predictive, and statistical models to solve complex business challenges such as churn prediction and customer segmentation. Validate and refine model performance using suitable evaluation metrics to ensure accuracy, reliability, and business relevance. 2. Data Collection and Integration: Collect and preprocess data from multiple sources, including Firebase services (Firestore, Firebase Analytics), ensuring data quality and consistency. Integrate disparate data sources into unified datasets compatible with APIs and application backends on cloud platforms. Perform data cleaning, transformation, and feature engineering for modelling and visualization readiness. 3. Insight Generation and Reporting: Derive actionable insights to support business and product strategies, such as enhancing user experience in React-based applications. Develop and maintain data visualizations and interactive dashboards using cloud-compatible tools. Present findings and recommendations through clear reports to both technical and non-technical stakeholders. 4. Collaboration and Communication: Collaborate with developers, product managers, and UX teams to align data science initiatives with business goals. Communicate project progress, analysis outcomes, and model performance through regular stakeholder updates. Work with engineering teams to deploy models seamlessly into production environments (e.G., Firebase-hosted systems). 5. Model Deployment and Monitoring: Deploy and operationalize machine learning models in production using Google Cloud Platform (GCP) or other public clouds. Continuously monitor model performance, addressing issues like data drift and optimizing scalability and efficiency. Implement and maintain model tracking, logging, and monitoring frameworks in cloud environments. Required Skills: 4+ years of professional experience as a Data Scientist or in a similar analytical role. Proven hands-on experience with at least one public cloud platform (strong preference for Google Cloud Platform). Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.). Experience with Firebase, BigQuery, and Vertex AI is highly desirable. Expertise in data visualization tools (e.G., Looker Studio, Tableau, or Power BI). Strong understanding of data modelling, ETL processes, and API integrations in cloud-based systems. Excellent communication skills and ability to collaborate with cross-functional teams. Qualification: Strong analytical and problem-solving skills. Desire and ability to rapidly learn a wide variety of new technical skills. Self-motivated, takes initiative, assumes ownership. Enthusiastic, professional, with a focus on customer success. Passion for solving client challenges and commitment to client delight.