Retail Data Science Lead

hace 15 horas


Barcelona, Barcelona, España Tiger Analytics A tiempo completo

Tiger Analytics is a pioneering force in harnessing AI and analytics to tackle complex global challenges. Our team develops bespoke solutions powered by data and technology for top-tier organizations, with offices in the US, UK, India, and Singapore, and a substantial remote workforce.

We lead the market in AI and analytics consulting for the CPG & retail industry, accounting for over 40% of our revenues. This sector is our fastest-growing area, driving the need for enhanced talent in this space.

This exciting opportunity seeks an experienced Retail Data Science Lead with a strong background in the Retail CPG and Manufacturing industry. You will collaborate closely with cross-functional teams to analyze, model, and drive data-driven insights that elevate decision-making and create strategic advantages.

Key Responsibilities:

  • Analyze and apply the latest data science techniques to solve business problems in the Retail, CPG, and Manufacturing sectors.
  • Design and implement advanced predictive models to examine trends and behaviors in these industries.
  • Collaborate with stakeholders from data engineering, product, and business teams to comprehend objectives and provide data-driven solutions.
  • Develop data models and pipelines to support analytical and machine learning initiatives.
  • Leverage domain expertise in Retail CPG and Manufacturing to produce insights and identify growth opportunities.
  • Present insights, recommendations, and data findings to technical and non-technical audiences.
  • Maintain best practices in data science and machine learning, ensuring accuracy, quality, and compliance.
  • Support and develop a growing team of experienced Data Scientists.

Requirements

  • A minimum of 9-10 years of hands-on work experience in Manufacturing.
  • Ability to lead domain conversations on a solution consulting level.
  • Proficiency in Spanish language.
  • Strong skills in Python (pipeline creation, pytest, data manipulation with Pandas), R, SQL, and proficiency in cloud-based data platforms (AWS, Azure, Google Cloud).
  • Domain knowledge: In-depth understanding of the Retail CPG industry, especially Smart Manufacturing Experience. Familiarity with industry-specific data systems.
  • Excellent communication skills and ability to present data insights to diverse audiences.
  • Bias for action, task prioritization, and time management.

Estimated Salary: $150,000 - $180,000 per annum, based on location and industry standards.

This position offers a unique chance for significant career development in a dynamic entrepreneurial environment with high individual responsibility.


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