Cactus Communications - Data Science Lead

Description : CACTUS is a remote-first organization and we embrace an accelerate from anywhere culture. You may be required to travel to our Mumbai office based on business requirements or for company/team events. We are looking for a Data Science Lead to spearhead the development of advanced predictive, prescriptive, and generative AI models. In this role, you will mentor a team of specialists to establish end-to-end methodologiesfrom feature engineering to large-scale model deploymentwhile driving data-driven solutions for optimization and service enhancement. If you are a research-driven leader committed to Responsible AI, including bias detection and model transparency, this role offers the chance to define the lifecycle standards for impactful AI initiatives. Responsibilities : - Lead and mentor a team of Data Scientists and Analysts in developing predictive, prescriptive, and generative AI models. - Establish end-to-end data science methodologies, including feature engineering, model selection, and performance evaluation. - Develop data-driven solutions for optimization, engagement, and service enhancement. - Define data model lifecycle standards, including model versioning, retraining, and explainability frameworks. - Collaborate with AI/ML Engineers to operationalize machine learning models within production systems. - Define and monitor AI performance KPIs such as accuracy, latency, and fairness. - Support responsible AI initiatives through bias detection, fairness validation, and model transparency. - Review and validate deliverables from external AI vendors or partners as part of model governance. Requirements : - B.Tech / M.Tech / M. / Ph. in Statistics, Mathematics, Computer Science, or any quantitative discipline. - Advanced certifications in Data Science, Machine Learning, or AI (e.g. AWS ML Specialty) preferred. - Research papers, case studies, or significant open source contributions are preferred. - 8-12 years of total experience in data science and analytics. - 6-8 years in advanced analytics, statistical modelling, and research-driven problem solving. - Minimum 4-6 years leading data science teams or projects involving large-scale model deployment. - Proven track record in implementing AI/ML models in production environments within enterprise setups Description : CACTUS is a remote-first organization and we embrace an accelerate from anywhere culture. You may be required to travel to our Mumbai office based on business requirements or for company/team events. We are looking for a Data Science Lead to spearhead the development of advanced predictive, prescriptive, and generative AI models. In this role, you will mentor a team of specialists to establish end-to-end methodologiesfrom feature engineering to large-scale model deploymentwhile driving data-driven solutions for optimization and service enhancement. If you are a research-driven leader committed to Responsible AI, including bias detection and model transparency, this role offers the chance to define the lifecycle standards for impactful AI initiatives. Responsibilities : - Lead and mentor a team of Data Scientists and Analysts in developing predictive, prescriptive, and generative AI models. - Establish end-to-end data science methodologies, including feature engineering, model selection, and performance evaluation. - Develop data-driven solutions for optimization, engagement, and service enhancement. - Define data model lifecycle standards, including model versioning, retraining, and explainability frameworks. - Collaborate with AI/ML Engineers to operationalize machine learning models within production systems. - Define and monitor AI performance KPIs such as accuracy, latency, and fairness. - Support responsible AI initiatives through bias detection, fairness validation, and model transparency. - Review and validate deliverables from external AI vendors or partners as part of model governance. Requirements : - B.Tech / M.Tech / M. / Ph. in Statistics, Mathematics, Computer Science, or any quantitative discipline. - Advanced certifications in Data Science, Machine Learning, or AI (e.g. AWS ML Specialty) preferred. - Research papers, case studies, or significant open source contributions are preferred. - 8-12 years of total experience in data science and analytics. - 6-8 years in advanced analytics, statistical modelling, and research-driven problem solving. - Minimum 4-6 years leading data science teams or projects involving large-scale model deployment. - Proven track record in implementing AI/ML models in production environments within enterprise setups