Data Scientist [15 / 10 / 2025]

Job Summary

We are seeking a Data Scientist who will turn raw data into actionable insights that drive business decisions. This includes collecting, cleaning, exploring, modeling, and interpreting large datasets; deploying predictive models; and communicating results to stakeholders. The ideal candidate will have strong statistical, programming, and analytical skills, along with an ability to translate business problems into data science solutions.

Key Responsibilities

• Data Collection & Preparation
• Identify, gather, and integrate data from multiple internal and external sources.
• Clean, preprocess, and validate data (structured and unstructured), handling missing values, outliers, etc.
• Exploratory Data Analysis (EDA) & Feature Engineering
• Analyse data to understand distributions, relationships, correlations, and anomalies.
• Engineer features that improve model performance.
• Model Development & Evaluation
• Build, test, and validate statistical and machine learning models (supervised, unsupervised, etc.).
• Use cross-validation, hyperparameter tuning; ensure models are robust.
• Deployment & Monitoring
• Collaborate with engineering / DevOps to deploy models in production or integrate into workflows / products.
• Monitor model performance, retrain, or update as needed; track drift.
• Visualization & Reporting
• Create dashboards, reports, and visualizations to share findings with stakeholders.
• Translate complex results into clear, actionable insights for non-technical audiences.
• Business Collaboration
• Work with business units (product, marketing, operations, etc.) to understand their needs, define metrics, recommend strategies.
• Suggest data-driven improvements, conduct experiments / A / B tests.
• Data Governance & Ethics
• Ensure data quality, security, privacy, and compliance with regulations.
• Maintain documentation, reproducibility, and versioning of models and analyses.
• Continuous Learning & Innovation
• Stay updated with latest tools, algorithms, industry trends.
• Experiment with new methods / technologies to improve processes.

Required Skills & Qualifications

Preferred / Nice-to-Have Qualifications