#LI_promotedGroupM is the world’s largest media investment company anda part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking forManager. The role will be responsible to drive the development of digital marketing research as a form of service or product for clients as well as a tool to support the growth of digital business for GroupM agencies
Reporting of the roleThis role reports to Mindshare Lead3 best things about the job:
Our ideal team member will have the mathematical and statistical expertise you’d expect.
You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future.
Insightful data to power our systems and solutions
In this role, your goals will be: In three months:
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Implement analytical models into production by collaborating with software developers and machine learning engineers.
In six months:
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Analyse data for trends and patterns, and Interpret data with a clear objective in mind
In 12 months:
Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the digital specialist team to strategize and execute the development of data products
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
What your day job looks like at Mindshare:
Collaborate with connection planning and digital specialists to develop an understanding of needs
Research and devise innovative statistical and machine learning models for data analysis
What you’ll bring:
Communicate findings to all stakeholders, using relevant data visualisations
Enable smarter business processes—and implement analytics for meaningful insights
Keep current with technical and industry developments
Minimum qualifications:
Bachelor’s degree in statistics, applied mathematics, or related discipline
5+ years’ experience in data science
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition, recommendation engines and predictive modelling experience
Experience with Power BI, Tableau, SQL, and programming languages (i.e., Java/Python/R, SAS)
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
