Contract Data Analyst — Fast-Paced Analytics & Growth Path

Egreenservices; McKinney (TX); On-site; USD 64,000 - 85,000; Full time

Benefits offered by this job

Mentorship

Fast track into senior technology

Job summary

Media Solutions Group is seeking a Data Analyst to handle large data volumes with fast, resilient processing. Bring Pandas and Time Management sharpened after 1+ years in a Data Analyst role, plus experience with PyTorch, SageMaker, and Seaborn.

You will work with cross-functional partners to scope and deliver contract projects and help ensure backward-compatible data schemas. The role emphasizes documenting decisions, reducing startup times, and explaining MLflow tradeoffs to executives.

Qualifications

• 1+ years operating in a Data Analyst role.
• Self-motivated with ability to work independently.
• Ability to surface risk before it becomes an issue.
• Proficiency with Pandas and SageMaker.
• A viewpoint on Media Solutions Group's domain, informed by reading.
• 1 year exposing where processes can be optimized.
• Comfort with ambiguity when brief is half-written.

Responsibilities

• Document decisions, architecture, and APIs for the org.
• Reduce Time Management cold-start times for faster wake-time.
• Deliver PyTorch increments that McKinney can deliver.
• Collaborate with cross-functional partners to scope projects.
• Keep schemas backward-compatible to avoid breaking upgrades.
• Evaluate new tools, frameworks, and Seaborn libraries.
• Write clean, scalable code for a growing user base.
• Explain MLflow tradeoffs to executives.

Skills

Pandas

Time management

PyTorch

Seaborn

SageMaker

MLflow

Tools

PyTorch

MLflow

SageMaker

Seaborn

Job description

Media Solutions Group is seeking a Data Analyst to handle large data volumes with fast, resilient processing. Bring Pandas and Time Management sharpened after 1+ years in a Data Analyst role, plus experience with PyTorch, SageMaker, and Seaborn.

You will work with cross-functional partners to scope and deliver contract projects and help ensure backward-compatible data schemas. The role emphasizes documenting decisions, reducing startup times, and explaining MLflow tradeoffs to executives.