Data Scientist - Machine Learning Models

Description : Job Summary :

We are seeking an experienced Data Scientist to design, build, and deploy advanced machine learning models that address complex business challenges.

The ideal candidate will have strong expertise in statistical analysis, predictive modeling, and scalable data pipeline implementation.

This role requires proficiency in Python and related libraries, experience with cloud-based solutions, and a deep understanding of machine learning techniques.

Key Responsibilities :

• Design, develop, and implement sophisticated machine learning models to solve high-impact business problems, ensuring accuracy, scalability, and robustness.
• Apply advanced statistical methods and predictive analytics to extract meaningful insights from complex datasets and support data-driven decision-making.
• Utilize Python extensively along with Object-Oriented Programming (OOP) principles, TensorFlow for deep learning, Numpy for numerical computing, and multi-array programming techniques to manipulate and process data efficiently.
• Develop and maintain reliable, reusable, and scalable data pipelines and machine learning workflows following best practices in coding and version control using GitHub.
• Partner closely with business stakeholders, data engineers, and product teams to identify opportunities for leveraging data and optimize existing solutions through iterative improvements.
• Explore, design, and implement scalable machine learning solutions on cloud platforms, primarily Azure, ensuring the models and data pipelines are production-ready and maintainable.
• Utilize PySpark or similar big data frameworks to process and analyze large-scale datasets efficiently when necessary.
• Maintain comprehensive documentation of models, experiments, and processes. Present findings and recommendations to both technical and non-technical audiences.

Qualifications : Experience :

Technical Skills :

(ref : hirist.tech)