Lead Data Scientist

13 hours ago


London, Greater London, United Kingdom Tiger Analytics Full time
Job Description

Tiger Analytics is a pioneering company that utilizes AI and analytics to solve complex problems faced by organizations globally. With offices in multiple cities across the US, UK, India, and Singapore, we have a substantial remote global workforce.

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

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 a daily/weekly basis to gather requirements and provide updates.
  • Stay connected with external sources of ideas through conferences and community engagements.
Minimum Requirements:
  • 8+ years of experience 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.

The estimated salary for this position is around $120,000 per annum, based on the location and industry standards.


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