Sr. RGM Pricing and Promo Consultant - CGP
Location:  Connecticut, Indiana, North Carolina, Texas, USA
Company:  ITL USA
Requisition ID:  130780BR
Infosys is looking for a  Pricing & Revenue Growth Data Scientist  to build a pricing and promotion tool for CPG clients, which will include pricing strategies, trade promotions, and revenue growth initiatives. This role involves building analytics and machine learning models for price elasticity, promotion effectiveness, and trade promotion optimization. You will be required to collaborate with CPG business, marketing, data scientists, and other teams for the successful delivery of the 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:   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

Preferred Qualifications:
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
The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Equal Employment Opportunity
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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Title: Data Scientist Level: JL 6 The digital marketing team at Infosys is dedicated to deliver AI-first experiences by leveraging its AI-infused Martech stack by providing actionable, customer-centric insights, and empowering GTM and other stakeholders make data-driven decisions in a smarter, faster, and collaborative manner. We are seeking an experienced data scientist (+7 YOE) with expertise in NLP, deep learning to lead building ML-powered applications. In this role, you will lead the development and evaluation of ML models to solve business problems and the integration into digital marketing. Cross-functional collaboration with key internal and external stakeholders will be essential in this position. The ideal candidate will leverage data modelling techniques to build advanced targeting and personalization strategies, driving enhanced customer engagement and business outcomes. This role demands a data-first approach, utilizing AI to create highly relevant and personalized experiences for our users. The Data Scientist role will aid in predictive analytics, and models to bring business values to drive strategies across the marketing lifecycle, building deep dive insights & analytics. These insights will be integrated into customer engagement strategies across segments. The role involves understanding digital data, experience maps and customer behavior and building algorithms. The role also involves communicating insights through model outcomes, data visualization and storytelling, supporting data-driven decision-making across the organization. Key Responsibilities: <ul><li>Data-First Approach: Champion a data-first approach by creating systematic definitions, relationships, and improvements in process design to refine data models. Ensure responsible and transparent use of data, balancing personalization with privacy concerns. </li><li>AI-Driven Digital Targeting: Develop and implement AI models to optimize ad targeting across various digital channels. Analyze user data to identify relevant audience segments for advertising campaigns, ensuring precise and efficient targeting.</li><li>AI-Driven Personalization: Transform personalization from a concept to reality by analyzing vast amounts of user data to predict individual preferences and behaviors. Dynamically adjust website content and product recommendations to match each user’s specific interests, increasing engagement and satisfaction </li><li>Data Modeling for Personalization: Design and implement data models that leverage AI to personalize digital advertising. Create sophisticated personalization models that consider user intent, context, and emotions to tailor ad content to individual needs and interests.</li><li>Segmentation Strategies: Utilize clustering models to segment customers based on purchase history, browsing behavior, and demographic information. Tailor content and marketing strategies to specific customer groups, enhancing engagement and conversion rates.</li><li>Predictive Analytics: Employ machine learning to predict user behaviors and needs, enabling the delivery of personalized content at the optimal time. Use predictive analytics to anticipate consumer needs accurately, serving highly-personalized ads when users are most likely to engage.</li><li>Contextual Targeting: Implement AI-driven algorithms to analyze webpage content in real-time, pairing ads with the most relevant context. Ensure ads remain effective while respecting user privacy and avoiding cross-site trackingOversee the MQL to SQL flow, optimizing lead conversion processes.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.</li><li>Present findings and insights to stakeholders, effectively communicating the value and impact of data-driven strategies.</li></ul> Qualifications & Experience: <ul><li>Advanced degree (MTech or MS) in Computer Science, Electrical Engineering, Statistics, Operations Research, or Mathematics is preferred</li><li>Over 7 years of experience in data science, with a focus on data modeling, AI-first websites, and machine learning models for conversational chatbots.</li><li>Proven expertise in predictive analytics and data flow management from CRM systems.</li><li>Experience with machine learning and deep learning techniques, including natural language processing (NLP) and computer vision.</li></ul> Familiarity with AI models and their practical applications in digital marketing.<ul><li>Understanding of ethical considerations in data science, including privacy, bias, and fairness.</li><li>Experience with building AI-first websites and developing machine learning models for conversational chatbots.</li><li>Knowledge of data visualization tools and techniques.</li></ul> Skills: <ul><li>AI & Machine Learning: Strong understanding of AI capabilities such as data collection, natural language processing, machine learning, and analytics </li><li>Data Modeling: Expertise in data modeling techniques to create systematic definitions and relationships for improved data models</li><li>Personalization Technologies: Proficiency in dynamic creative optimization (DCO) and other AI-driven technologies for creating hyper-relevant experiences Privacy-First Data Practices: Knowledge of privacy regulations and the ability to implement targeting strategies that prioritize user privacy Communication & Collaboration: Strong communication and teamwork skills for effective collaboration with cross-functional teams.Strong problem-solving abilities and creative thinking.</li><li>Collaborative mindset with the ability to work effectively with cross-functional teams.</li><li>Proficiency in data structures, algorithms, and efficient processing of large datasets.</li><li>Excellent communication and presentation skills, with the ability to engage and influence stakeholders.</li><li>Strong analytical skills and proficiency in statistical software and programming languages such as Python, R, or SQL.</li></ul>

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