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Data Scientist (Contract 3 Month)

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Responsibilities

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• 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

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• 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

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