W1siziisimnvbxbpbgvkx3rozw1lx2fzc2v0cy9jbnrlbgxldgvjig5ldy9qcgcvbmv3lwjhbm5lci1kzwzhdwx0lmpwzyjdxq

Data Scientist-Performance Analytics

  • Location

    Mountain View

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    up to 200,000

  • Contact:

    Jamie Bernard

  • Contact email:

    jamie@intelletec.com

  • Startdate:

    ASAP

  • Consultant:

    Jamie Bernard

One of the most recognized brands in the world is looking to hire a Data Scientist in their Performance Analytics Group.

This global firm is looking for someone to work in their fast-paced environment focusing on using state-of-the-art Machine Learning and AI to completely transform the customer experience.

Location: Silicon Valley

Role and Responsibilities:

  • Deliver advanced technology solutions that addresses real-world, data-driven needs
  • Design and develop pipelines, reports, dashboards and framework that monitor and analyze performance of the AI Voice Agents. 
  • Provide insights of product performance worldwide
  • Define and develop data schema, ETL, metrics and reports for production performance analytics 
  • Employ advanced statistical modeling to analyze large data sets, create dashboards and derive insights to guide key business, product and engineering decisions 
  • Collaborate with engineering teams to ensure that data infrastructure and systems are performant, scalable, reliable and secure 
  • Enable big data and batch/real-time analytical solutions that leverage state-of-the-art data and ML technologies 
     

QUALIFICATIONS

  • Bachelor’s Degree Computer Science, Mathematics, Statistics or a related quantitative discipline 
  • 5+ years of experience in data science or analytics using Python and SQL and working with big data 
  • Excellent analytical skills with an engineering, algorithmic mind to design tools pipelines and systems to handle large-scale, real-time ML analysis, whether in batch or streaming. 
  • Previous experience designing and delivering analytics for large-scale ML products, and enjoys working in an agile, fast-growing environment preferred

Compensation: Strong Package, Bonus, equity and Benefits.