Data Science Leader for Retail and CPG Innovation

hace 1 mes

Barcelona, Barcelona, España Tiger Analytics A tiempo completo

Tiger Analytics is a pioneering AI and analytics firm that solves complex business problems for Fortune 100 companies globally. With offices in the US, UK, India, and Singapore, and a remote global workforce, we develop bespoke data-driven solutions.

We are market leaders in AI and analytics consulting in the CPG & retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are expanding our talent pool in the space.

We seek an experienced Senior Data Scientist to work closely with cross-functional teams to analyze, model, and drive data-driven insights that enhance decision-making and create strategic advantages in the Retail and CPG space.

Key Responsibilities:

  • Apply advanced data science techniques to solve business problems in the Retail and CPG space.
  • Design and implement predictive models to analyze trends and behaviors in the Retail CPG and Agro sectors.
  • Collaborate with stakeholders across data engineering, product, and business teams to understand objectives and provide data-driven solutions.
  • Develop data models and pipelines to support analytical and machine-learning initiatives.
  • Leverage domain knowledge in Retail CPG and Agro 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.
  • Collaborate with a growing team of experienced Data Scientists to achieve shared goals.
  • Stay up-to-date with external sources of ideas through conferences and community engagements.
  • Support demands from regulators, investor relations, etc., to develop innovative solutions utilizing cutting-edge techniques and tools.

Requirements

  • 6-8+ years of hands-on experience in data science, with a focus on the Retail CPG and Agro industry.
  • Proficient in Python (pipeline creation, pytest, data manipulation with Pandas, etc.), R, SQL. Strong understanding of machine learning, predictive analytics, and statistical modeling.
  • Familiarity with industry-specific datasets, trends, and KPIs in the Retail CPG industry, especially in Agro.
  • Excellent communication skills with the ability 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 practices is a plus.
  • Bias for action, with the ability to deliver outstanding results through task prioritization and time management.

Salary Range: $150,000 - $200,000 per annum, depending on experience and qualifications.

Benefits:

This position offers a unique opportunity for significant career development in a fast-paced entrepreneurial environment with a high degree of individual responsibility.

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