Description

Design and implement machine learning models and data architectures to drive large-scale analytic projects.

This role is on-site.

Responsibilities

• Build and deploy machine learning algorithms including regression, clustering, decision trees, and neural networks.
• Execute supervised and unsupervised learning techniques to solve client problems.
• Develop and maintain data architectures for large-scale analytics.
• Drive large analytic programs from initial exploration through to completion.
• Perform ad-hoc analysis and present technical results to business and technology leadership.

Required Skills

• 4+ years of experience in data science and machine learning.
• Proficiency in Python and R.
• Strong experience with SQL for data extraction.
• Experience working with AWS or ADLS cloud resources.
• Practical knowledge of statistical modeling and big data machine learning models.
• Ability to use visualization tools such as Power BI or Tableau.
• Strong written and verbal communication skills for interacting with senior stakeholders.

Preferred Skills

• Experience working directly on client-facing projects.

Key Skills

Education

Any gradudate