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Job Summary:
understanding of the data science in CPG industry and RGM in particular.
This role
must engage, influence and inspire wide variety of stakeholders internally from AI, Engineering & Design in order
to drive collaboration and alignment.
Knowledge/Skills
5+ years of work experience related to RGM data science, analytics.:
Creative thinker, Strategic thinking, Analytical and problem-solving skills
Attention to details, Discipline, Active listening, Outstanding communication, presentation and leadership
skills
Organizational and time management skills. Management of stakeholders and their expectations
Ability to design solution frameworks with mínimal guidance and lead client discussions
Solid knowledge of machine learning and statistical modeling techniques, with some exposure to cloud
technologies such as Azure Databricks
Experience with programming languages such as Python,
Spark; or working closely teams who work with
these programming languages
Solid understanding of CPG data sources, algorithms, and software design principles, highly sensitive to
algorithm complexity
Key Responsibilities
Enable build, Maintain, refine/tune and upgrade the data science engine. Configure multiple AI pipelines and run the
engine
Use data wrangling and exploration to extract insights and relationships from the data
Perform descriptive analysis and build visualizations to help customer understand what drives the
business metrics.
Conduct research and prototyping innovations; data and requirements gathering; solution scoping and
architecture; consulting clients and client facing teams on advanced statistical and machine learning
problems.
Collaborate and coordinate with different functional teams (engineering and product development) to