Lead Data Scientist - Artificial Intelligence

About the Role :

We are seeking a highly skilled and motivated Lead Data Scientist to spearhead our advanced analytics and AI initiatives. You will play a pivotal role in designing, developing, and deploying innovative machine learning and deep learning models that drive critical business decisions. The ideal candidate will have extensive experience in AI / ML frameworks, a deep understanding of data science methodologies, and the ability to lead and mentor a team of data scientists.

Key Responsibilities :

• Lead the end-to-end lifecycle of AI / ML projects including problem definition, data collection, preprocessing, model development, evaluation, deployment, and maintenance.
• Develop and implement state-of-the-art machine learning algorithms such as Artificial Neural Networks (ANN), XGBoost, deep learning models (CNNs, RNNs, Transformers), and ensemble techniques tailored to complex business challenges.
• Perform advanced feature engineering, data cleaning, and transformation to improve model robustness and predictive power.
• Optimize models by tuning hyperparameters, selecting the best algorithms, and employing techniques such as cross-validation and automated machine learning (AutoML).
• Collaborate closely with cross-functional teams including data engineering, product, and business stakeholders to integrate AI solutions seamlessly into production systems.
• Establish and enforce best practices in AI development : code versioning (Git), reproducibility, documentation, and model governance.
• Design scalable AI architectures to ensure robust model deployment and real-time inference capabilities in cloud or on-premise environments.
• Monitor model performance post-deployment, conduct root-cause analysis for model drift, and implement continuous learning pipelines.
• Stay abreast of emerging AI / ML research, tools, and frameworks, and champion adoption of innovative techniques within the team.
• Mentor and guide junior data scientists and analysts to enhance their technical capabilities and promote a culture of data-driven decision-making.
• Communicate complex analytical insights and AI concepts effectively to non-technical stakeholders and senior leadership.

Required Skills and Qualifications :

(ref : hirist.tech)