Lead - Data Science

Job Description

Role Overview:As a Data Science Leader at VMart, you will play a crucial role in driving strategic leadership and cross-functional collaboration. You will partner with Business Heads to identify high-impact opportunities where data science can unlock measurable value. Additionally, you will shape the long-term roadmap for AI adoption and autonomous retail systems.Key Responsibilities:- Partner with Business Heads to identify high-impact opportunities where data science can unlock measurable value.- Drive alignment between business priorities and technical execution to ensure data initiatives translate into business outcomes.- Architect scalable data science frameworks and reusable accelerators deployable across multiple business units.- Build proof-of-concepts and foundational models ground-up, setting technical benchmarks and coding standards.- Lead exploratory data analysis (EDA) to discover actionable insights, anomalies, and opportunities hidden in large-scale retail datasets.- Hire, groom, and develop a high-caliber team of data scientists and ML engineers, instilling ownership and accountability.- Establish knowledge repositories, coding best practices, and reusable frameworks to accelerate delivery.- Foster a culture of experimentation, innovation, and technical excellence while ensuring collaboration across diverse teams.Qualifications Required:- Proven experience in driving data science initiatives that result in measurable business impact.- Strong leadership skills with the ability to hire, groom, and develop high-performing teams.- Expertise in architecting scalable data science frameworks and leading exploratory data analysis.- Knowledge of AI adoption and autonomous systems in a retail environment would be advantageous.(Note: The JD does not contain any additional details about the company.) Role Overview:As a Data Science Leader at VMart, you will play a crucial role in driving strategic leadership and cross-functional collaboration. You will partner with Business Heads to identify high-impact opportunities where data science can unlock measurable value. Additionally, you will shape the long-term roadmap for AI adoption and autonomous retail systems.Key Responsibilities:- Partner with Business Heads to identify high-impact opportunities where data science can unlock measurable value.- Drive alignment between business priorities and technical execution to ensure data initiatives translate into business outcomes.- Architect scalable data science frameworks and reusable accelerators deployable across multiple business units.- Build proof-of-concepts and foundational models ground-up, setting technical benchmarks and coding standards.- Lead exploratory data analysis (EDA) to discover actionable insights, anomalies, and opportunities hidden in large-scale retail datasets.- Hire, groom, and develop a high-caliber team of data scientists and ML engineers, instilling ownership and accountability.- Establish knowledge repositories, coding best practices, and reusable frameworks to accelerate delivery.- Foster a culture of experimentation, innovation, and technical excellence while ensuring collaboration across diverse teams.Qualifications Required:- Proven experience in driving data science initiatives that result in measurable business impact.- Strong leadership skills with the ability to hire, groom, and develop high-performing teams.- Expertise in architecting scalable data science frameworks and leading exploratory data analysis.- Knowledge of AI adoption and autonomous systems in a retail environment would be advantageous.(Note: The JD does not contain any additional details about the company.)

Keyskills :
Data ScienceRetailMachine LearningData AnalysisTeam DevelopmentInnovation