Внимание! Вакансии нет на российских job ресурсах.
PepsiCo are looking for an Advanced Analytics Analyst (with Russian) for the Commercial Digital team to support the ongoing development of centre in Krakow.
Responsibilities:
Produce, manipulate and interpret model outputs to facilitate use by local teams / tools
Support integration of model outputs into local business processes
Identify and escalate any issues with model performance
Identify and escalate opportunities to enhance and expand model functionality / applications
Act as a lead point of contact with Sector and GBS Advanced Analytics teams
Build & codify local digital ordering and customer engagement approach: collaborate with sector stakeholders to co-create capabilities, tools & processes to drive efficiency, effectiveness & sufficiency
Develop best-practices for digital ordering / customer engagement and scale lifting and shifting learnings across countries and categories
Advanced analytics of intermediate / final results and integration learnings, based on local &international experience to digital ordering / customer engagement
Maintenance of existing models
Periodic refresh of existing models across markets and brands
Periodic model validation to check the need for a rebuild
Guiding business with periodic updates
Formulate hypotheses, plan and execute statistical models for measurements/ROI analyses, share results with key leaders as well as drive meta-learnings
Ensuring Statistical robustness of the models and model reads
Ensure timely build and refresh of the models so that it can help in timely business decisions
Actively test data science concepts, and technologies that can be scaled across the portfolio
Partner with PepsiCo functional teams, agencies, and third parties to ensure acquiring, tagging, cataloging, and managing data periodically in structured format as needed for measurement statistical models
Create reusable modeling assets (codes, techniques, functions) to cut short refresh and model build time
Engage in R&D to try new modeling techniques to ensure faster and better answers to business problems
Qualifications / Requirements:
For a candidate to be successful in this role, she or he will need:
At least 2 years of hands-on data science (model building, data analytics)
Experience either in analytics consulting or internal analytics teams
Experience in translating a business problem into an analytics framework and vice versa
Advanced knowledge of key data science techniques:
Combining data from multiple sources through APIs, Semantic Web, etc.
Data preparation and feature engineering
Supervised / Unsupervised learning
Collaborative Filtering
Location Analytics & Intelligence
Hands-on knowledge of statistical modeling- well versed in techniques like regression, Bayesian, SEM, etc.
Advanced knowledge of MS Excel, VBA, and SQL
Familiarity with query languages such as SQL or Hive
A knack for new-age data platforms, understanding of relational as well as unstructured data, experience in data lake architecture and creation
Problem-solving aptitude
Familiarity with Scala, Java, or C++ is an asset
Fluent English language and at least intermediate Russian language.
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