Overview:
We are seeking a highly motivated and skilled Data Scientist to join our team in the retail industry. The ideal candidate has at least 2 years of experience in data science, with expertise in data analysis, predictive modeling, and machine learning. Exposure to MLOps, feature engineering, and data engineering workflows will be considered a plus.
Responsibilities
- Data Analysis: Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges.
- Model Development: Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization.
- Collaboration: Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions.
- Visualization and Communication: Present insights and findings through visualizations and dashboards to inform decision-making.
- Innovation: Stay updated on the latest tools and techniques in data science and retail analytics.
Optional Responsibilities (if experienced):
- Feature Engineering:
- Engineer and optimize features to improve machine learning model performance.
- Automate feature extraction pipelines for scalable workflows.
- MLOps:
- Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
- Data Engineering:
- Assist in designing and maintaining data pipelines and ensuring data quality.
