Infosys is looking for "Pricing & Revenue Growth Data Scientist" to build a pricing and promotion tool for CPG client which would have pricing strategies, trade promotions, and revenue growth initiatives. This will involve building analytics and machine learning models for price elasticity, promotion effectiveness, and trade promotion optimization. You will be required collaborating with CPG business, marketing, data scientist and other teams for a successful delivery of project and tool.
Required Qualifications:
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- All applicants authorized to work in the United States are encouraged to apply.
- Candidate must live within commuting distance of Hartford, CT, Indianapolis, IN, Raleigh, NC, or Richardson, TX or be willing to relocate. Travel within the US may be required.
- At least 11 years of experience in Information Technology
- Business Domain Skills:
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- Trade Promotion Management (TPM), Trade Promotion Optimization (TPO), Trade Spend Efficiency
- Promotion Depth, Frequency, Forecasting, Scenario and Effectiveness
- Price Pack Architecture, Pricing Elasticity and Price Sensitivity
- Competitive Price tracking, benchmarking and effectiveness
- Revenue Growth Management, Category and Channel Growth, Market Entry and New Product Pricing
- Financial Modeling, Dynamic pricing implementation
- AI & Machine Learning for Pricing
- Technical Skills:
- Proficiency in programming languages like Python and R for data manipulation and analysis
- Expertise in machine learning algorithms and statistical modeling techniques
- Familiarity with data warehousing and data pipelines
- Experience with data visualization tools like Tableau or Power BI
- Experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services.
- Consulting Skills:
- Hypothesis-driven problem solving
- Go-to-market pricing and revenue growth execution
- Advisory, Presentation, Data Storytelling
- Project Leadership and Execution
- Collaborative work with cross-functional teams across sales, marketing, and product development
- Stakeholder Management, Team Handling
- Fast-paced environment with a focus on delivering timely insights to support business decisions
- Excellent problem-solving skills and ability to address complex technical challenges.
- Effective communication skills to collaborate with cross-functional teams and stakeholders.
- Potential to work on multiple projects simultaneously, prioritizing tasks based on business impact