Description

Key Skills: Machine Learning, Data Scientist, Cloud, SQL, Python

Roles and Responsibilities:

• Design, develop, and apply machine learning models for regression, clustering, decision trees, neural networks, and related business use cases.
• Perform supervised and unsupervised analysis, exploratory investigations, and ad-hoc analytics on structured and unstructured data.
• Work with data architectures and data sources to prepare reliable datasets for modeling and analysis.
• Translate analytical results into clear presentations and recommendations for business and technology leadership.
• Drive analytics projects from problem definition through model development, validation, and delivery for client engagements.

Skills Required:

• 5 to 8 years of relevant experience in data science, machine learning, statistical analysis, or advanced analytics.
• Professional experience in data science, including the development and application of machine learning and statistical models.
• Strong understanding of supervised and unsupervised machine learning techniques and core statistical methods.
• Experience working with data architectures, analytical datasets, and data-driven application requirements.
• Ability to communicate model outcomes, analytical findings, and recommendations clearly to technical and senior business audiences.

Good to Have:

• Experience with cloud data platforms and cloud-based analytics resources.
• Programming experience with Python and querying experience with SQL.

Education: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related discipline

Key Skills

Education

Any Graduate