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Job Description

Hybrid Data Analyst and AI Engineering role at Metrocast Cable Systems in Quincy, MA, offering USD 30-33 per hour.

Responsibilities

  • Aggregate and sanitize large, heterogeneous datasets from multiple sources to maintain data quality and integrity, ensuring data is consistently clean and ready for analysis.
  • Conduct thorough data analyses to identify trends, patterns, and correlations that inform strategic decisions.
  • Create and maintain dashboards and reports using data visualization tools to communicate findings clearly to stakeholders.
  • Support the design, development, and deployment of machine learning models and AI algorithms.
  • Assist with training, validation, and evaluation of AI systems to ensure they meet performance benchmarks.
  • Collaborate with engineering and product teams to embed AI powered solutions into the company's services.
  • Produce comprehensive reports and presentations that clearly communicate analytical results and recommendations.
  • Stay current with evolving 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 grounding in statistical principles.
  • Proficiency in SQL for querying and shaping data.
  • Strong programming skills 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 using data visualization tools such as Tableau or Power BI.
  • Excellent analytical and problem-solving abilities with keen attention to detail.
  • Strong written and verbal communication skills, able to explain complex technical concepts to non-technical audiences.
  • Proactive, collaborative mindset with a demonstrated passion for data-driven innovation.

Technologies

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

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