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Data Scientist

Seattle, Washington | Engineering
Job ID: 104951
Listed on 3/31/2021

KellyMitchell matches the best IT and business talent with premier organizations nationwide. Our clients, ranging from Fortune 500 corporations to rapidly growing high-tech companies, are exceptionally served by our 1500+ IT and business consultants. Our industry is growing rapidly, and now is a great time to launch your career with the KellyMitchell team.

Data Engineer

Duties:

  • Use analytics to identify opportunities in dev processes. For example: running natural language clustering on Azure Dev Ops bug reports, community reports, forum, and support tickets. Augment data sets leveraging behavioural and non-behaviour data.
  • Dashboarding and building of KPIs, specifically using PowerBI and Azure Monitors, Azure Data Explorer and Jarvis preferred.
  • Leverages deep insights to make sure we are automating the right measures and KPIs.
  • Work with development teams to ensure the right prioritization of bugs. Being able to understand player impact.
  • Excellent project management and communication. Will closely partner with the platform team.
  • Tools: SQL, Databricks, Natural Language Processing, statistics, Python.

Desired Skills/Experience:

  • 3+ years of experience in data science role.
  • Strong understanding of software engineering systems required. 
  • Experience analyzing data using Python, R, or other statistical languages.
  • Proficient with SQL-like languages - Hive, Spark, or Databricks experience is a bonus.
  • Experience using and evaluating machine learning models on real-world data.
  • Experience building dashboards and reports using tools like PowerBI, Azure Monitors, Azure Data Explorer, or Jarvis
  • Excellent project management and communication skills, both written and verbal.
  • Deliver business impact on ambiguous projects with incomplete or dirty data.
  • Able to work on a collaborative and diverse team.

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