Senior Retail Data Science Director
hace 1 mes
About Tiger Analytics
Tiger Analytics is a pioneering company in AI and analytics, dedicated to solving complex problems faced by organizations globally. We develop bespoke solutions powered by data and technology for numerous Fortune 100 companies. Our global presence spans multiple cities across the US, UK, India, and Singapore, with a substantial remote workforce.
We are market leaders in AI and analytics consulting, particularly in the CPG & retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing area, and we're enhancing our talent pool in the space.
We seek an experienced Senior Retail Data Scientist to work closely with cross-functional teams. You will analyze, model, and drive data-driven insights that enhance decision-making and create strategic advantages.
Key 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.
Earnings Potential: The estimated salary for this position is around $180,000 annually, based on national averages and the level of experience required.
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