It's fun to work in a company where people truly BELIEVE in what they are doing!

- We're committed to bringing passion and customer focus to the business._

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
- 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

- 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

implement models and monitor outcomes. Work with engineering and design teams, 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 productive roll-out in new market with highly modular

architecture, well designed data abstraction, high configurability and high level of parameterization

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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