Data Scientist

• ; Collect, clean and analyze large datasets from multiple business systems.

• ; Develop dashboards and visual reports to track operational and business performance.

• ; Identify patterns, trends and correlations that can drive process improvements.

• ; Support data-driven decision-making by providing actionable insights to management and project teams.

• ; Assist in predictive modeling and statistical analysis for process optimization.

• ; Collaborate with tech and product teams to understand data requirements and business goals.

• ; Strong command over Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn).

• ; Hands-on experience with SQL and data handling.

• ; Excellent understanding of JavaScript, ES6+, REST APIs and asynchronous programming.

• ; Knowledge of data visualization tools (Power BI, Tableau, or similar).

• ; Good understanding of statistics, data cleaning and exploratory analysis.

• ; Excellent analytical thinking and communication skills.

• ; Exposure to machine learning models (classification, regression, forecasting).

• ; Familiarity with business operations or logistics analytics.

• ; Experience with cloud-based data tools (AWS, GCP, Azure).

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