Data Analyst & AI Engineering

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