Cactus Communications - Data Science Lead

Job Description

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

Keyskills :
Data SciencePredictive ModelingMentoringOptimizationPrescriptive ModelingGenerative AIFeature EngineeringModel DeploymentAI Performance Monitoring