
Chief Retail Data Insights Analyst
4 days ago
As a data scientist, you will play a pivotal role in driving product-level profitability and growing margins using real-time competitive insights. Our cutting-edge technology leverages AI to aggregate and analyze billions of data points across 1,900 retail categories in 34 global markets.
Key Responsibilities:
- Analyze retail data sets using statistical techniques and machine learning algorithms
- Develop predictive models to support business decisions in the retail sector
- Collaborate with senior data scientists and stakeholders to identify data-driven insights and opportunities
- Develop and implement data pipelines for data processing and preparation
- Support the development of reports and dashboards to visualize and communicate data insights
Senior Data Scientist Role:
- Lead a team of data scientists and collaborate closely with key stakeholders
- Develop advanced machine learning models and neural networks to solve complex problems in retail and e-commerce sectors
- Experiment with LLMs (Large Language Models)
- Design and develop scalable data pipelines
- Mentor junior data scientists
- Drive deployment of predictive models into production
Requirements:
- Strong proficiency in Python or C++
- Deep understanding of BERT, transformers, and other advanced machine learning architectures
- Expertise in computer vision techniques and applications
- LLMs understanding and curiosity to explore
- Extensive retail and e-commerce experience is preferred
- PhD in related field is preferred
Stay up-to-date with latest developments in data science and retail analytics.
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