16 days old
2017-11-022017-11-30

Machine Learning Teacher with Financial Background

Edison, NJ 08837
  • Job Code
    585844
  • Payrate
    $30 To $35

Client is looking for a Full time Machine Learning with a Financial Background Professional/Trainer for a fast-growing Graduate Certificate program in Data Science Engineering. You will need to have worked in the financial field as a Project Manager or Teacher and comfortable with assistance in creating curriculum for the students.


Qualifications and Responsibilities:



  • Masters in Statistics, Math, or Computer Science w/ 3+ years of relevant experience in Data Science including R programming and Data Mining
  • Experience/Confidence to teach Broad Classification, Processes & Rules, Principle Component Analysis, Decision Trees, Random Forests, Cluster Analysis, Ensemble Learning, Neural Networks, and Support Vector Machines
  • Administrating class sessions per schedule including Saturdays and developing/grading coursework, assignments, and business case related projects for Data Mining


Passion to Train:



  • A burning passion for teaching and sharing knowledge
  • Exceptional oral, written, and presentation skills
  • Excellent at explaining technical concepts in a simple yet interesting way


Desirable (but not essential):



  • PhD. or equivalent degree in a relevant field

Categories

  • Information Technology

Randstad utilizes a technology-driven focus with a human touch to provide better staffing and business solutions to organizations around the world. Our team of experts match professionals with available career opportunities in a variety of fields.

Featured Jobs

Career News

Share this job:

Machine Learning Teacher with Financial Background

Randstad Technologies
Edison, NJ 08837

Share this job

Machine Learning Teacher with Financial Background

Randstad Technologies
Edison, NJ
US

Separate email addresses with commas

Enter valid email address for sender.

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast