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Job Description

Metrocast Cable Systems is seeking a hybrid Data Analyst and AI Engineer in Quincy, Massachusetts. This role blends data analysis with AI development to generate actionable insights and deliver AI-powered enhancements for telecom services. The position offers a pay rate of $30 to $33 per hour and combines on-site and remote collaboration in a hybrid setup.

Responsibilities

  • Aggregate and curate large, complex datasets from multiple sources, ensuring data quality and reliability.
  • Conduct thorough analyses to uncover trends, patterns, and correlations that inform strategic decisions.
  • Create and maintain dashboards and reports using visualization tools to present findings to stakeholders.
  • Assist in designing, developing, and deploying machine learning models and AI algorithms.
  • Support training, validation, and evaluation of AI systems to meet performance benchmarks.
  • Collaborate with engineering and product teams to embed AI-powered solutions into telecom services.
  • Prepare detailed reports and presentations that clearly convey analytical results and recommendations.
  • Stay current with industry trends and advancements in data analytics and artificial intelligence.

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Proven experience in a data analysis role with a solid grasp of statistical principles.
  • Strong SQL skills for querying and manipulating data.
  • Proficiency in Python or R, including experience with data analysis libraries such as Pandas and NumPy.
  • Familiarity with machine learning concepts and core AI frameworks like Scikit-learn, TensorFlow, or PyTorch.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Excellent analytical and problem-solving abilities with meticulous attention to detail.
  • Strong written and verbal communication skills, capable of explaining complex technical concepts to non-technical audiences.
  • A proactive, collaborative mindset with a genuine passion for data-driven innovation.

Technologies

  • SQL
  • Python
  • R
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Tableau
  • Power BI

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