Senior Consultant - Revenue Growth Management (CPG)

Knowledge / Skills

• 5+ years of work experience related to RGM data science, analytics in CPG domain.
• 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 minimal guidance and lead client discussions
• Strong 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
• Strong understanding of CPG data sources, algorithms, and software design principles, highly sensitive to algorithm complexity

Key Responsibilities

• 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 implement models and monitor outcomes. Work with engineering and design teams, RGM / CPG leadership to develop product requirements and user stories
• Lead technical and business discussions with the customers (mix of KPIs, metrics, data science, data engineering, domain discussions Customer management and PoV project management.
• Hold user and stakeholder workshops to show-case results, give overview of model functionality
• Lead a small group of DS developers in collaborate / streamline data science work with product, BA, MLOps
• Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support.
• Code development / redevelopment planning, provide direct support to DS developers in the execution.
• Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead.
• Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization.

Skills Required

Python, Spark, Azure, Databricks