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Retail Data Science Lead
hace 3 semanas
Imagine yourself working on the cutting-edge applications of data science to solve business problems in Retail and Consumer Goods. Your advanced predictive models will analyze trends and behaviors, uncovering new opportunities for growth.
- Key Responsibilities:
- Analyze industry trends and behaviors to develop strategic insights
- Design and implement predictive models to forecast market patterns
- Collaborate with stakeholders to understand objectives and provide data-driven solutions
- Develop data models and pipelines to support analytical and machine learning initiatives
- Leverage domain knowledge to produce actionable insights and identify growth opportunities
- Maintain best practices in data science and machine learning, ensuring accuracy, quality, and compliance
Minimum Requirements:
- 6-8+ years of hands-on experience in data science, with a focus on Retail and Consumer Goods
- Proficient in Python (pipeline creation, pytest, data manipulation with Pandas), R, SQL
- Domain Knowledge: In-depth knowledge of the Retail and Consumer Goods industries, familiarity with industry-specific datasets, trends, and KPIs
- Excellent communication skills to present data insights to various audiences
- Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud)
- CI / CD Practices: Experience with continuous integration and deployment is a plus
This role offers an excellent opportunity for significant career development in a fast-growing environment with high individual responsibility. The ideal candidate will have a strong background in data science, excellent communication skills, and the ability to deliver outstanding results.