Senior Consultant

3 weeks ago

Gurugram Chennai, India Neal Analytics Full time

Job Description - We are looking for an experienced Senior Consultant who will lead client projects in RGM for CPG - In this role, you will be responsible for maintaining, tuning, and upgradlar - This role sits within our CPG practice, and reports into the RGM Client delivery lead at Fractal - We continue to deliver services in RGM to our clients, and this platform is to accelerate the setup scale of that journey - 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 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.

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