Job Description

Job Category: Innovation and Transformation
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Key Responsibilities

• Assist in building, testing, and deploying machine learning models (forecasting, classification, optimization).
• Perform data cleaning, preprocessing, and feature engineering on large structured and unstructured datasets.
• Conduct exploratory data analysis (EDA) to discover trends, anomalies, and insights.
• Work with the team to design and validate experiments, pilots, and predictive models.
• Support dashboard development and data storytelling for business stakeholders.
• Stay updated with new ML/AI techniques (including LLMs and agentic AI) and explore potential use cases.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or related field.
• 2+ years of experience in data science or applied machine learning (retail/e-commerce experience preferred).
• Strong programming skills in Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn).
• Good knowledge of machine learning fundamentals (regression, classification, clustering, time series forecasting).
• Experience with SQL and working with relational databases.
• Ability to analyze data, communicate insights, and document findings clearly.
• Curiosity, eagerness to learn, and ability to work in a fast-paced environment.

Preferred Skills (Nice to Have)

• Familiarity with deep learning frameworks (TensorFlow, PyTorch).
• Exposure to LLMs (Large Language Models) and their applications.
• Experience with optimization problems (scheduling, resource allocation).
• Knowledge of cloud platforms (Azure, AWS, or GCP).
• Hands-on experience with BI tools (Power BI, Tableau).

Skills Required