Job Title: Data Scientist - (AI-ML/GCP)
Employment: Full-Time
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).
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.
