General Manager Principal Data Scientist

Job Description

Role Overview:As a General Manager Principal Data Scientist at Welspun, you will play a crucial role in leading a team of data scientists and analysts to deliver high-impact analytics projects. Your responsibilities will include collaborating with senior leadership to define data science strategy, designing and deploying predictive and prescriptive models to optimize manufacturing processes, and translating analytical insights into actionable business recommendations. You will be working closely with cross-functional teams to embed data-driven intelligence into business decision-making and drive digital transformation initiatives across smart factory and industrial ecosystems.Key Responsibilities:- Lead, mentor, and guide a team of data scientists, ML engineers, and analysts to deliver high-impact analytics projects- Collaborate with senior leadership and the CEO to define data science strategy and translate business challenges into data-driven opportunities- Evangelize data science best practices and ensure the adoption of scalable and efficient methodologies- Design, build, and deploy predictive and prescriptive models to address manufacturing and operational challenges- Apply traditional ML techniques including regression, classification, time series forecasting, clustering, and anomaly detection- Perform model validation, optimization, and monitoring to ensure robustness and business relevance- Leverage Python, PySpark, SQL, and cloud-based data platforms such as AWS, Azure, and Databricks for model development and deployment- Work with large-scale multi-source industrial datasets including sensor, IoT, ERP, and MES data- Collaborate with data engineering teams to design efficient data pipelines and feature stores- Translate analytical insights into actionable business recommendations and present outcomes to executive leadership- Quantify the ROI of analytics initiatives and measure their impact on KPIs such as production efficiency, downtime reduction, and quality improvementQualifications Required:- Proficiency in Business & Commercial acumen- Expertise in Entrepreneurship, Global Mind-set, People Excellence, Machine Learning, Python, Pyspark, and Predictive Modelling- Minimum of 10 years of experience in a relevant fieldPlease note that the additional details of the company were not included in the provided job description. Role Overview:As a General Manager Principal Data Scientist at Welspun, you will play a crucial role in leading a team of data scientists and analysts to deliver high-impact analytics projects. Your responsibilities will include collaborating with senior leadership to define data science strategy, designing and deploying predictive and prescriptive models to optimize manufacturing processes, and translating analytical insights into actionable business recommendations. You will be working closely with cross-functional teams to embed data-driven intelligence into business decision-making and drive digital transformation initiatives across smart factory and industrial ecosystems.Key Responsibilities:- Lead, mentor, and guide a team of data scientists, ML engineers, and analysts to deliver high-impact analytics projects- Collaborate with senior leadership and the CEO to define data science strategy and translate business challenges into data-driven opportunities- Evangelize data science best practices and ensure the adoption of scalable and efficient methodologies- Design, build, and deploy predictive and prescriptive models to address manufacturing and operational challenges- Apply traditional ML techniques including regression, classification, time series forecasting, clustering, and anomaly detection- Perform model validation, optimization, and monitoring to ensure robustness and business relevance- Leverage Python, PySpark, SQL, and cloud-based data platforms such as AWS, Azure, and Databricks for model development and deployment- Work with large-scale multi-source industrial datasets including sensor, IoT, ERP, and MES data- Collaborate with data engineering teams to design efficient data pipelines and feature stores- Translate analytical insights into actionable business recommendations and present outcomes to executive leadership- Quantify the ROI of analytics initiatives and measure their impact on KPIs such as production efficiency, downtime reduction, and quality improvementQualifications Required:- Proficiency in Business & Commercial acumen- Expertise in Entrepreneurship, Global Mind-set, People Excellence, Machine Learning, Python, Pyspark, and Predictive Modelling- Minimum of 10 years of experience in a relevant fieldPlease note that the additional details of the company were not included in the provided job description.

Keyskills :
Predictive ModelingMachine LearningLeadershipData SciencePythonSQLAWSAzureIndustry 40 AnalyticsPySpark