Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks and constraints
Translate the business program into a solvable Data Science problem, propose different approached and their pros and cons.
Identify, analyze and interpret trends or patterns in complex data sets.
Build Econometric/market mix models (MMM), multi-touch attribution models (MTA), optimize marketing spend and come-up with implementable recommendations and strategy/plan.
Good written, verbal, and presentation skills with the ability to generate and present meaningful insights
Manage and collaborate across teams - providing input into the solution architecture.
Develop project plans including milestones, dates, owners, and risks and contingency plans.
Contribute to the development of a knowledge base, build case studies, and work with new business teams to demonstrate the value of an integrated approach.
Skills and Experience required:
3-5 years of professional experience in advanced data science focused on, Econometric Modeling, Marketing Analytics, Market Mix modelling, Multi-touch Attribution, Micro-segment Attribution, Unified Measurement, Marketing Budget Optimization, TV attribution etc.
Experience in ML algorithms and techniques such as, OLS regression, nave bayes approach, linear attribution model, time decay model, Markov chains, Shapley value etc.
Experience with one or more Advanced Data Science software languages. (R, Python, H2O, PySpark, Scala, SAS).
Proven ability to visualize data for influencing
Comfortable with cloud-based platforms (AWS, Azure, Google).
Experience with Google Analytics, Adobe Analytics, Optimizely is a plus.
Experience in digital marketing a plus.
Thank you for your Interest in our company.
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