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Senior Analytics Engineer

Experis

 

Redmond, WA, USA

Posted On: 3 days ago
Experience: 5+ years
Availability: Hybrid
Openings: 1
Category: Senior Analytics Engineer
Tenure: No Preference/Any
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Description

You design and deploy scalable AI and machine learning solutions for gaming analytics and player engagement.

This role is on-site.

Responsibilities

  • Architect and implement AI/ML models that support gaming analytics and player engagement initiatives.
  • Translate business requirements into technical architectures and drive operational efficiency through data insights.
  • Collaborate with data scientists and product teams to define technical solutions for complex business needs.
  • Establish data governance, security, and compliance standards within AI solution deployments.
  • Evaluate existing data landscapes and recommend strategic improvements using emerging AI technologies.

Required Skills

  • 5+ years of experience designing and deploying AI and machine learning solutions in large enterprise environments.
  • Strong proficiency in Python and SQL for data processing and model implementation.
  • Deep understanding of data architecture, data modeling, and data management principles.
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders.
  • Proven track record of solving complex problems with creative and open-minded approaches.

Preferred Skills

  • Experience in the gaming industry or handling player engagement data.

Education

Any Graduate

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