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WPP

Data Scientist Manager

Reposted 19 Days Ago
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Easy Apply
In-Office
3 Locations
Mid level
Easy Apply
In-Office
3 Locations
Mid level
As Data Scientist Manager, you will lead analytics projects focused on statistical analysis and modeling, transforming data into actionable insights and collaborating with stakeholders for project delivery.
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About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

  • Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
  • Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
  • Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

WHAT YOU WILL DO   

  • Support Account Lead (Modelling)/Director in day to day running of technical aspects of own projects
  • Be responsible for modelling on own projects and begin to take the stakeholder facing elements of projects
  • Take a major role in a building or updating models, ensuring they are statistically robust and intuitive whilst ensuring key modelling questions are answered
  • Ensure our modelling processes are consistent across client projects, with a focus on statistical robustness
  • Design, develop and maintain modelling processes, troubleshooting as required
  • Coach and develop junior team member(s), where applicable, so they maximize their potential
  • Document procedures and configurations to facilitate knowledge sharing within the team.
  • Provide technical support and assistance stakeholders.

Skills and Experience  

  • At least 5 years’ hands on experience in Market Mix Modelling, with rich and complete data sets
  • Degree or degree-level understanding of Economics, Math’s, Stats, Sciences or another numerical subject
  • Experience in modelling projects for time series econometrics in the media or marketing industry – strong Market Mix Modelling technical understanding and experience is required
  • An analytical mindset, able to approach issues and challenges from a variety of angles
  • Highly numerate, with strong mathematical acumen
  • Great communication skills
  • Ability to priorities
  • Advanced Excel user
  • Strong knowledge of common modelling packages, Excel, PowerPoint, R or other programming language

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please read our Privacy Notice for more information on how we process the information you provide. 

Top Skills

Datalab
Google Bigquery
MS Office
Python
R
Scipy
SQL
TensorFlow

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