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Senior Manager, Advance Analytics

Location New York, United States
Posted 20-March-2021
Description
Who we are looking for: Wunderman Thompson is looking a Sr Manager/Director Analytics to join the Data Science and Analytics practice, In this role you will be reporting to the VP of Data Science, helping build and manage a high performance, responsive team of data scientists and analysts that are able to gather and synthesize data quickly and accurately and deliver impactful advanced analytics models and machine learning solutions to clients. In this role you will manage a small team.

What youll do: Ability to make an immediate impact| Wunderman Thompson is eager to develop new technology and platforms. Youll have an opportunity to make a real impact on the business.
Build the Future | You will be working on cutting edge projects!
High visibility | We are a very flat organization that encourages an entrepreneurial culture.
Fun | Growth is fun! Winning is fun!

Who you are: Problem Solver |Digs in and simplifies how to work around problems, asking why not? and how can we make this better?
Self-Motivated |Self-starter. Able to stay motivated and active through workload ebbs and flows.Takes initiative and hungry to learn.
Open and collaborative | Our team is close-knit and supportive and were working with a lot of unknownsyou must champion of team environments that are comfortable and encouraging.

What youll need: Experience leading small teams in the creation of advanced analytics solutions and experience to present to clients.
Experience working with customer data and handling data securely
Able to manage multiple projects concurrently.
Prior experience working with large quantitative and qualitative datasets both hands on and managing teams doing the work.
Ability to guide teams on appropriate methodology and approach for data science and predictive analytics solutions to business problems.
Ability to derive methods for reporting on analytic results that control for outside factors
Experience proposing analytic solutions to both technical and non-technical audience
Prior hands on experience working in SAS, R or Python .
Knowledge of statistical methodologies including multivariate regression, Clustering, K-means Bayesian statistics, categorization methods, Nice to have (time series, survival analysis).
Strong storytelling skills with experience presenting to large technical and non-technical audiences all the way to the C-Suite emphasizing translating data science outcomes into business implications.
Master in Statistics, Analytics, Social Sciences, or Data Science
8years experience with a combination of hands on work and management experience
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Experience
Min 8 to 11 Years.

 
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