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