Remote Lead Data Scientist, Retail (Manufacturing)

Summary

Join Tiger Analytics as we pioneer AI and analytics solutions to solve global problems. We're seeking an experienced Lead Data Scientist with expertise in Retail CPG and Manufacturing.

Requirements

• 9-10 + years of strong hands-on work experience in Manufacturing Experience
• Should be able to lead domain conversations on a solution consulting angle
• Should be proficient in Spanish Language
• Proficient in Python (pipeline creation, pytest, data manipulation with Pandas, etc.), R, SQL. Strong understanding of machine learning, predictive analytics, and statistical modeling
• Know typical data sets available and make recommendations by performing EDA upfront and suggest strategies around overall Data Wrangling and cleanup
• Domain Knowledge: In-depth knowledge of the Retail CPG industry, especially Smart Manufacturing Experience. Familiarity with industry-specific Data Systems - Manufacturing Control Tower, Manufacturing Systems around Global Shop Floor Tools, MES, historian, SAP etc
• Excellent communication skills with the ability to present data insights to a variety of audiences
• Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud)

Responsibilities

• Work on the latest applications of data science to solve business problems in the Retail, CPG and Manufacturing space
• Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Manufacturing 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 Manufacturing to produce insights and identify growth opportunities
• Prepare and 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, coach, and learn with a growing team of experienced Data Scientists
• Stay connected with external sources of ideas through conferences and community engagements
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility