Data Science Architect

1 month ago

bangalore, India LTIMindtree Full time

Role and ResponsibilitiesDomain - CPG & Retail / Hi tech / Lifesciences/ Oil and gas / ManufacturingLocation - Bangalore/Pune/ Mumbai/Chennai/KolkataExperience Required - 12 years to max 16 yearsResponsibilities12+ years of overall experience, with 8+ years in AI, ML, and data science-focused roles, and 5+ years specifically in implementing or consulting for CPG & Retail.Develop AI/ML models for price elasticity, marketing – mix / marketing spend optimization, demand forecasting, inventory optimization, predicting out – of – stock, estimating lost sales, B2C pricing strategies, and personalized customer experiences in CPG & Retail sectors.Leverage data from point-of-sale systems, customer behavior analytics, and supply chain operations to create data-driven solutions that enhance operational efficiency and boost profitability.Implement AI-driven recommendation systems to optimize product assortment, upselling, and cross-selling, next – best offer strategies in retail environments.Use advanced analytics to identify trends, customer segments, and buying behaviors, driving targeted marketing campaigns and customer retention programs.Apply machine learning algorithms for predictive analytics in sales forecasting, shelf space optimization, and supply chain management.Collaborate with cross-functional teams, including marketing, sales, supply chain, product managers, and domain experts, to define and implement AI/ML strategies that align with organizational goals.Lead pre-sales efforts by consulting with clients, understanding their specific business needs in the CPG & Retail space, and developing customized AI solutions.Drive research and development of innovative AI applications to solve complex business challenges, such as using AI/ML for product demand forecasting, price optimization, consumer sentiment analysis, and operational efficiency.Lead and mentor teams in building Proof of Concepts (POCs) and production-ready AI/ML systems for various clients in the CPG & Retail industry.Document technical artifacts and establish best practices for deploying AI/ML systems on cloud platforms (AWS, Azure, GCP) and implementing Python libraries specific to CPG & Retail.Engage directly with clients to communicate complex AI scenarios in CPG & Retail and provide strategic recommendations for improving sales, reducing waste, and enhancing customer experiences.Ensure AI solutions adhere to quality, ethical, and compliance standards while optimizing performance for reliability and efficiency in production environments.Spearhead change management processes to facilitate the integration of AI technologies into existing business systems, such as CRM, ERP, and supply chain systems.Share knowledge and mentor team members to enhance their expertise in generative AI, advanced data science techniques, and their application in the CPG & Retail industry.SkillsStrong communication skills with experience managing various stakeholder relationships in CPG & Retail to gain consensus on complex technical solutions.Deep understanding of the CPG & Retail landscape, including product lifecycle management, merchandising strategies, customer behavior, and supply chain optimization.Experience in architecting AI/ML solutions that address challenges like demand forecasting, dynamic pricing, inventory management, and customer segmentation in the CPG & Retail space.Proficiency in Python with experience analyzing CPG & Retail data (e.g., transaction data, consumer behavior, sales data, and third – party syndicated datasets like Nielsen and IRI and make sense of them towards predictive modeling) (SM1) and providing strategic recommendations using AI/ML techniques.Mastery of AI frameworks and generative models, including Transformers (GPTs, BERT, LLaMa, etc.), with practical applications in CPG & Retail, such as generating personalized product recommendations and optimizing promotional strategies.Expertise in machine learning techniques (CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests) and practical experience in NLP, time-series forecasting, and recommendation systems for retail.Advanced knowledge of cloud platforms like Amazon SageMaker, Azure ML Studio, GCP BigQuery, and industry-specific platforms like SAP HANA, Salesforce, and Oracle Retail.Strong math skills, including statistics and algebra, with an analytical mindset and business acumen for solving CPG & Retail-specific problems, such as optimizing pricing strategies or forecasting demand.Experience with data science libraries and frameworks, including TensorFlow, Keras, PyTorch, and Pandas, with deep expertise in deploying models for omnichannel retail environments.Publications or contributions to AI/ML conferences, journals, or open-source communities, particularly in the CPG & Retail or eCommerce domains.Relevant certifications in AI/ML at the Architect/Lead level, with a Ph.D. or master’s degree in computer science, Data Science, or related fields.

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