Expired
Company:
ConsultNet
Location: Laguna Hills
Closing Date: 30/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Location: Remote anywhere in the US
Contract, Contract to Hire
Job Description:
Our client is currently looking for a Data Scientist. We are working with a Director in the Machine Learning & Data Science in our client's cyber division.
Our client hosts a true Big Data environment (Petabytes of data stored, and processing daily upwards of 235 billion market events). You will be tasked with researching and helping construct some of the most important machine learning models that protect our stock and bond markets.
Our client is looking to incorporate anomaly detection/data science technology in their cyber environment to identify abnormal behavior.
Our client is looking for someone with a great deal of intellectual curiosity, experience in a data science environment, who want to be very hands on and technical (coding and mathematical/research analysis is required).
Minimum Qualifications
Master's required Computer Science, Math, Statistics, Physics and/or Electrical Engineering must have the mathematical background to apply mathematical analysis to data and determine relationships
3+ years of experience in Data Science, Big Data, AI/Client and/or software/data engineering
Expertise in programming with Python
Strong SQL querying skills
Experience in Big Data environments and in a data science practice
Keen ability to research data and identify relationships (this is 85% of the job)
Data science experience
Have worked on building and maintaining Machine Learning models
Experience with PySpark and PyTorch
Must have strong communication skills
Preferred:
Coding experience with Spark
Big Data engineering experience
AWS experience
Experience executing sophisticated SQL queries for backend, data testing.
Location: Remote anywhere in the US
Contract, Contract to Hire
Job Description:
Our client is currently looking for a Data Scientist. We are working with a Director in the Machine Learning & Data Science in our client's cyber division.
Our client hosts a true Big Data environment (Petabytes of data stored, and processing daily upwards of 235 billion market events). You will be tasked with researching and helping construct some of the most important machine learning models that protect our stock and bond markets.
Our client is looking to incorporate anomaly detection/data science technology in their cyber environment to identify abnormal behavior.
Our client is looking for someone with a great deal of intellectual curiosity, experience in a data science environment, who want to be very hands on and technical (coding and mathematical/research analysis is required).
Minimum Qualifications
Master's required Computer Science, Math, Statistics, Physics and/or Electrical Engineering must have the mathematical background to apply mathematical analysis to data and determine relationships
3+ years of experience in Data Science, Big Data, AI/Client and/or software/data engineering
Expertise in programming with Python
Strong SQL querying skills
Experience in Big Data environments and in a data science practice
Keen ability to research data and identify relationships (this is 85% of the job)
Data science experience
Have worked on building and maintaining Machine Learning models
Experience with PySpark and PyTorch
Must have strong communication skills
Preferred:
Coding experience with Spark
Big Data engineering experience
AWS experience
Experience executing sophisticated SQL queries for backend, data testing.
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