Data Scientist

Key Responsibilities

• Design, develop, and deploy machine learning models to solve real business problems across commercial, operations, customer, and asset analytics domains
• Build predictive models including regression, classification, forecasting, and segmentation models
• Apply machine learning techniques such as clustering, decision trees, ensemble models, gradient boosting, and other advanced algorithms where appropriate
• Perform exploratory data analysis, feature engineering, model selection, validation, and performance tuning
• Develop statistical and analytical models to identify trends, patterns, anomalies, and optimization opportunities
• Work with structured and large-scale datasets from multiple enterprise data sources
• Translate business requirements into analytical problem statements and technical model designs
• Communicate findings, model logic, assumptions, and recommendations clearly to business stakeholders
• Support deployment and operationalization of machine learning solutions into production environments
• Build dashboards or visual analytical outputs to communicate model performance and business insights
• Collaborate with data engineers, BI developers, product teams, and business stakeholders to deliver end-to-end analytical solutions

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or related quantitative fields
• 2–5 years of practical experience in Data Science, Machine Learning, or Advanced Analytics roles
• Strong hands-on experience in predictive modeling including: Regression, Classification, Clustering / Segmentation, Time series forecasting, Anomaly detection (preferred)
• Strong understanding of statistics, including: hypothesis testing, regression analysis, probability distributions, model evaluation metrics, experimental analysis
• Strong programming skills in Python and SQL
• Experience with common machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or similar
• Experience in data visualization using Power BI, Tableau, Plotly, or similar tools is preferred
• Understanding of model deployment workflows, MLOps, or production model integration is an advantage
• Strong analytical problem-solving mindset with business acumen
• Good communication, presentation, and storytelling skills
• Ability to work effectively in cross-functional project teams