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

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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.