Data Analyst
Contract type :Permanent
Availability :Full time
Job description
We are looking for a Data analyst to join our growing AI team at Apparel Group. This role is ideal for someone with a strong foundation in data analytics and machine learning who wants to apply their skills to real-world retail problems. You'll work alongside senior data scientists and product managers on AI-powered solutions such as - from forecasting and workforce optimization to cutting-edge applications of LLMs (Large Language Models) and agentic AI.
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)
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)