Lead Data Scientist - Retail/eCommerce

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Requirements:

• Advanced degree in Data Science, Statistics, Computer Science, or a related field preferred, but not required.
• Proven experience in data science, preferably in the retail or e-commerce sector.
• Proven experience in developing and maintaining data models.
• Strong expertise in statistical analysis, machine learning, and predictive modeling.
• Proficiency in programming languages including SQL, Python.
• Proficiency with data visualization (we use Tableau and MetaBase).
• Experience with big data tools and platforms (we use Google BigQuery).
• Excellent communication and collaboration skills.

Responsibilities:

• Own the development of data science and analytics infrastructure, tools, and best practices.
• Analyze large, complex data sets to uncover hidden patterns, market trends, and customer preferences.
• Develop and maintain customer-facing data and analytics visualization tools.
• Develop predictive models and machine-learning algorithms to forecast sales and assist with marketing needs.
• Collaborate with cross-functional teams to translate data insights into actionable business strategies.
• Present findings and recommendations to stakeholders in a clear, concise manner.
• Continuously monitor and assess the effectiveness of data-driven initiatives.
• Stay abreast of industry trends and advancements in data science and retail analytics.