Correlation One · 3 days ago
Teaching Assistant: Data Analytics (Tech for Jobs)
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Responsibilities
Mandatory Pre-Program TA Onboarding
Live lectures are run via Zoom
Full-time TAs are expected to be available on Mondays from 06:00 to 10:30 pm EEST (Jordan time) or Sundays 06:00 - 10:30 PM EEST (Jordan time) to support live lectures. They will do the remaining 12 hours/week asynchronously and at agreed-upon times (office hours) with their learners.
Part-time TAs are expected to spend 10 hours/week asynchronously and at agreed-upon times (office hours) with their learners.
“Full-Time” TAs are required to participate in all live lectures, providing helpful and fast responses via Slack, as well as being prepared to host breakout rooms as needed.
“Part-Time” TAs are not required to participate in live lectures, but otherwise have the same responsibilities as Full-Time TAs
Provide 6 hours of individual office hour sessions for Fellows each week. You may set these hours within our parameters at your availability and convenience.
Host review sessions or other support mechanisms to ensure the progress and satisfaction of your Fellows.
Participate in a 30-minute weekly TA meeting (time TBD)
Submit weekly write-ups summarizing the week’s accomplishments and challenges (due date TBD)
Take attendance during office hours on the TA portal
Grade your Fellows’ submissions, providing feedback and ongoing learning support
Qualification
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Required
Minimum 4-year college degree or equivalent experience
Reliable, with solid organizational skills
Advanced Excel, SQL, Tableau, Looker Studio, and familiarity with Python (numpy, pandas, matplotlib, statsmodels, scikit-learn)
Personable and approachable
An affinity for communicating with others in an empathetic and considerate manner
Proactive problem-solver, high attention to detail, and a quick learner
English language proficiency
Preferred
Arabic language proficiency is a plus
Company
Correlation One
Correlation One operates as a talent solutions technology company whose mission is to make data science for all.
Funding
Current Stage
Growth StageTotal Funding
$5.5M2018-04-04Series A· $5M
2018-01-01Series Unknown· Undisclosed
2016-05-01Seed· $0.5M
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