Lead Data Scientist - MLOps

The Role :

As a Lead Data Scientist, you'll be responsible for end-to-end ownership of critical data science products, from conceptualization and model development to deployment in a production environment.

You will lead projects focused on areas like customer churn prediction, recommendation systems, and dynamic pricing optimization, directly impacting key business metrics.

What You'll Do :

• Model Development : Design, train, and evaluate highly accurate machine learning models (Classification, Regression, NLP, Deep Learning) to solve complex business problems.
• MLOps & Deployment : Work with DevOps / MLOps teams to implement and manage CI / CD pipelines for ML models, ensuring reliable and scalable production deployment.
• Feature Engineering & Data Cleaning : Master complex, large-scale datasets, focusing on advanced feature engineering and data transformation.
• Stakeholder Communication : Translate complex analytical findings and model results into clear, actionable insights and compelling visualisations for non-technical stakeholders.
• Research & Innovation : Stay abreast of the latest advancements in AI / ML research and propose new methodologies or technologies to maintain a competitive edge.

Required Skills & Qualifications :

(ref : hirist.tech)