Senior Associate Data

In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clientsu2019 business growth ultimately.Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth.nYour ImpactCore areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behavior analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external dataAnalyses of large data sets and applied insights to help create personalized customer

experiences across multiple sectors in digital environmentsYouu2019ll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve themYouu2019ll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-onYouu2019ll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviorYouu2019ll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businessesYouu2019ll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modeling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.)Youu2019ll help us establish standards in statistical analysis,

machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal)