Data Scientist 6+ Yrs
2 weeks ago
Retail Data Scientist JD:
- 6 + years Experience in Retail (supply chain analytics, omnichannel retail strategies, and loyalty programs)
- Understanding of AI ethics and bias mitigation in retail data science.
- Develop and implement machine learning models to optimize pricing, demand forecasting, inventory management, and customer segmentation.
- Design and deploy recommendation engines to enhance customer engagement and personalize shopping experiences.
- Analyze structured and unstructured data from multiple sources, including POS, CRM, and third-party retail data.
- Utilize predictive analytics to identify trends, patterns, and business opportunities.
- Develop dashboards and visualizations using Power BI, Tableau, or Looker to communicate insights to stakeholders.
- Ensure data integrity, accuracy, and compliance with GDPR, CCPA, and other data governance standards.
- Automate data pipelines and workflows using Python, R, SQL, and cloud-based solutions (AWS, Azure, GCP).
Stay up to date with emerging AI/ML trends and recommend innovative solutions for retail analytics.
Key skills:
ML (Machine Learning)
NLP (Natural Language Processing)
Computer Vision
Retail Domain expertise
Concepts of LLM - good to have
Python , R , SQL
Cloud - Good to have
Retail projects could be like Customer segmentation , CRM , POS , Demand forecasting , Inventory Optimisation , supply chain analytics, omnichannel retail strategies, and loyalty programs)
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