Posted:2 weeks ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

The ideal candidate’s favorite words are learning, data, scale, and agility.

Responsibilities

  • Analyze raw data: assess quality, cleanse, and structure for downstream processing
  • Design accurate, scalable, and efficient prediction algorithms
  • Collaborate with engineering teams to transition analytical prototypes into production systems
  • Generate actionable insights to drive business improvements and decision-making
  • Develop and maintain dashboards and reports for stakeholders

Qualifications

  • Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
  • 3–5 years of professional experience in quantitative analytics, data modeling, or applied machine learning
  • Strong understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms
  • Proficiency in programming languages such as Python, R, SQL (knowledge of C/C++/Java is a plus)
  • Hands-on experience with big data frameworks and cloud environments (e.g., Hadoop, Spark, GCP, AWS, or Azure)
  • Familiarity with data visualization tools (Tableau, Power BI, or equivalent)
  • Strong problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders

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Mastech Digital

Information Technology & Staffing Services

Pittsburgh

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