Principal Data Scientist- CPG

Tiger Analytics; London; On-site; EUR 70,000 - 100,000; Full time

Job summary

A leading analytics firm seeks a Lead Data Scientist to leverage data in solving complex marketing problems for CPG clients. This role combines strategic analytics and client engagement, offering significant career growth in a dynamic environment focused on innovation. Candidates should have robust experience in market mix modeling and advanced data analysis techniques.

Qualifications

• 8+ years of experience with CPG clients or in a CPG company.
• Experience in Marketing analytics teams with hands-on Market Mix Modeling.
• Strong knowledge of Bayesian regression and data analysis.

Responsibilities

• Solve business problems using data science in the Marketing analytics team.
• Develop actionable solutions and communicate analytics to business partners.
• Coordinate with clients to gather requirements and provide insights.

Skills

Analytical skills

Problem-solving

Communication

Education

Graduation or Post graduation in Statistics, Mathematics, Management

Tools

Databricks

Python

PowerPoint

Excel

Job description

Social network you want to login/join with:

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 Market Mix Modeling and ROI analytics. 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 in the Marketing analytics team of the 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
• Work with client analytics team to carry out Market Mix Modelling / ROI analytics
• 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 clients or in a CPG company
• Graduation or Post graduation in Statistics, Mathematics, Management etc.
• Must have worked with Marketing analytics teams and understand Market Mix Modeling (MMM) work comprehensively. Must have led multiple projects on MMM analytics
• Experience in pricing and promotion analytics is a plus
• Must have experience with Databricks
• Implemented Bayesian regression on python. Exposure to libraries like numpy, pandas, sklearn, pymc3
• Hands on experience in PowerPoint / Excel is a must
• Strong logical, analytical, and problem-solving skills
• Adept at report writing and presenting findings
• Excellent verbal and written communication skills

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.