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Data Scientist
Confirmed live in the last 24 hours
Locations
Ontario, Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Elasticsearch
Hadoop
Keras
NumPy
Pandas
SQL
Tensorflow
Requirements
  • Degree in mathematics/computer science/statistics/operations research
  • Strong understanding and passion for statistical/mathematical modelling and data analysis
  • Good analytical and problem solving abilities
  • Proficiency in Machine Leaning/Artificial Intelligence. Experience crafting, conducting, analysing and ability to interpret data-based insights
  • Knowledge of software development principles and architecture
  • Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Hadoop, Elasticsearch, NoSQL Databases, or similar tools is required
  • Experience in using data science libraries such as NumPy, Pandas, Matplotlib, Plotly, Keras/TensorFlow, PySpark, PyFlink and Scikit-learn
  • Good written and oral communication skills
Responsibilities
  • Work with wireless and wired domain experts to build and verify valuable use cases
  • Work with product managers and other data engineers to turn data science prototypes into robust, reliable solutions
Desired Qualifications
  • Experience with real-time/streaming datasets and probabilistic graphical models is a plus
  • Excellent knowledge and experience with networking is also a
Extreme Networks

1,001-5,000 employees

Network connectivity solutions company
Company Overview
Extreme is on a mission to create effortless networking experiences that enable all of us to advance. Extreme is a leader in cloud networking focused on delivering services that connect devices, applications, and people in new ways.
Benefits
  • Competitive pay
  • Comprehensive healthcare
  • HSA
  • Life & disability insurance
  • Retirement plans
  • Employee stock purchase program
  • Tuition reimbursement
  • PTO
  • Wellness programs
Company Core Values
  • Teamwork
  • Candor
  • Curiosity
  • Ownership
  • Inclusion
  • Transparency