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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 and 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.ResponsibilitiesWork 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 needsWork with client analytics team to carry out Market Mix Modelling / ROI analyticsUndertake hands on work on data analytics, model development and testing and preparing the data files for visualization platformsUndertake business analysis on the data and provide insightsCoordinate with decision makers to translate business questions into a verifiable hypothesis and data modelsWork hands-on across various analytics problems and provide thought leadership on problemsInteract with onsite team as well as client on daily/weekly basis to gather requirements/ provide updatesStay 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.Requirements8+ years of experience of working with CPG clients or in a CPG companyGraduation 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 analyticsExperience in pricing and promotion analytics is a plusMust have experience with DatabricksImplemented Bayesian regression on python. Exposure to libraries like numpy, pandas, sklearn, pymc3Hands on experience in PowerPoint / Excel is a mustStrong logical, analytical, and problem-solving skillsAdept at report writing and presenting findingsExcellent verbal and written communication skillsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.#J-18808-Ljbffr