Lead Data Scientist - CPG

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

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

We are looking for a Lead Data Scientist with a good blend of data analytics background, who holds solid knowledge of Data Science Models, is quick learner, and has strong coding capabilities to add to our team.

Responsibilities

• Work on the latest applications of data science to solve business problems of the Retail and CPG space.
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Develop clear, concise, actionable solutions and recommendations for Client's business needs
• Undertake hands on work on data analytics, model development and testing and preparing the data files for visualization platforms
• Undertake business analysis on the data and provide insights
• Coordinate with decision makers to translate business questions into a verifiable hypothesis and data models
• Work hands-on across various analytics problems and provide thought leadership on problems
• Interact with onsite team as well as client on daily/weekly basis to gather requirements/ provide updates
• 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.

Requirements

• 8+ years of experience of working with CPG/Retail clients or in a CPG company
• Graduation or Post graduation in Statistics, Mathematics, Management etc.
• Must have worked Python and Pyspark for code development.
• Real Time Series for FE and Real Time Process Execution/Scoring.
• Creation of Docker Containers to execute the code in Kubernetes Environment.
• Must have experience with Databricks
• Implemented Bayesian regression on python. Exposure to libraries like numpy, pandas, sklearn, pymc3
• Strong logical, analytical, and problem-solving skills
• Adept at report writing and presenting findings
• Excellent verbal and written communication skills
• Experience in Manufacturing space will be a bonus (good to have).

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.