Principal Data Scientist - 43115
Data Science - Mexico Mexico City, Federal District
Principal Data Scientist - Mexico Polanco
ABOUT THE POSITION
The Principal Data Scientist defines and leads multiple methods improvement projects for the Methods group, and may oversee individuals within data science roles.
Define and lead all analyses to support Innovation initiatives, methodology development, KPI
Development/ implementation, standards and best practices.
Define and conduct analyses to support Methods programs.
Manage multiple projects simultaneously
Leads prototyping (what –ifs) as well as supporting pilot programs for R&D purposes. The primary areas includes – but not limited to – statistical modeling, predictive analytics, optimization, trend analyses, identifying gaps for improvements in coverage, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, and harmonization.
Address major quality escapes.
Ensures documentation of the new methodologies and best practices.
Work with cross-functional teams to design, implement, and test new consumer and audience measurement methodologies.
Design and test data collection methodologies for Nielsen panels and surveys.
Represents Data Science in meetings and interactions with other Nielsen departments
Represent Nielsen to clients
Represents Nielsen within academic and research councils.
Ensures that the team addresses the client’s needs.
Oversee and guide consultant teams during projects
Data is more than numbers, it’s a science. We’re delivering complex and innovative data insights. Our Data Science team is experimenting, testing, and driving major insights that impact a global network of clients.
Masters degree in Statistics, Math, Computer Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.)
Expertise and strong technical leader.
7- 10 years of relevant experience
Experience in trend analyses, multivariate statistics (parametric/ non-parametric), optimization techniques, and machine learning
Proficient in Python and SQL.
Knowledge in SQL, working with Algorithms, and large-scale databases.
Demonstrates experience in Nielsen methodologies, data collection, platforms, research processes and operations.
Domain expert in at least one area: Statistics Modeling, Retail Measurement, Audience Measurement, Data Integration and/or Digital Measurement.
Familiarity with spark
Experience with data visualization tools (e.g. Tableau, Spotfire, etc)
Passionate about innovation and technology
Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.
Innovative mindset, creativity, thinking out-of-the-box.
Good ability to effectively convey complex concepts to non-experts.
Strong Problem-Solving skills
Intellectual curiosity and persistence to find answers to questions.
Great collaborative and interpersonal skills to communicate at all levels.
Ability to set priorities.
Good leadership skills.
Business acumen, consultative skills and empathy for clients.
Great command of written and spoken English
Eager to continuously learn and adapt to changing technologies and tools.
Good ability to make decisions and successfully manage multiple assignments concurrently in a high pressure environment.
Good people management skills and coaching
Solid understanding of Statistics
Strong aptitude for data analysis.
Solid critical/ logic thinking.
Business acumen, finance and budgeting knowledge
We study and meet consumers in more than 100 countries to offer the most complete insight into trends and habits around the world. And we are constantly evolving, not only where we measure or measure, but also how our information and knowledge can help drive profitable growth
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Job Type: Regular
Primary Location: Mexico City,Federal District
Secondary Locations: , , ,