• Invitation: Walkin Drive Data Science, AI, ML- Academic Program and C... @ Every 2 days at 10:00 from Sat 15 Feb to Sat 14 Mar (IST) (expertinresearch.jobs@blogger.com)

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    Walkin Drive Data Science, AI, ML- Academic Program and Content Delivery Manager(12), 1-5Yrs, 6-12 LPA, Bangalore, Pune, Hyderabad, Bachelor/Master/PhD in Computer Science or related field. Job Code: 3UGRT/DSCACADMIC15Y612LP/7142020

    When
    Every 2 days at 10:00 from Sat 15 Feb to Sat 14 Mar India Standard Time - Kolkata
    Where
    Bengaluru, Karnataka, India (map)
    Calendar
    expertinresearch.jobs@blogger.com
    Who
    (Guest list has been hidden at organiser's request)
    Dear Consultant,

    Walk-in Drive Data Science, AI, ML- Academic Program and Content Delivery Manager(12), 1-5Yrs, 6-12 LPA, Bangalore, Pune, Hyderabad, Bachelor/Master/Ph.D. in Computer Science or related field. Job Code: 3UGRT/DSCACADMIC15Y612LP/7142020

    Submit Job Application Form and Resume using the link: https://jobs.3dindiagroup.com/p/job-form.html 

     

    Sourcing Guidelines for Recruiter

    ·         Check if the candidate interested in a Student facing/interaction role?

    ·         Check if the candidate willing to work full time as a Data Science program Manager/ Academic and content delivery/ End to End Curriculum delivery and management ?

    ·         Check if the candidate has good communication skills?

    ·         Check if the candidate has strong knowledge in Data Science/ Machine Learning/ Artificial Intelligence? Please mention

    ·         This is a student facing cum teaching assistant role. The candidates will not work on any live data. Ensure the candidates are ok with the specs before you upload any profile.

     

    About Co: Leading eLearning Company

     

    Job Specifications

    Data Science, AI, ML- Program Manager/ Academic Content Delivery

    Exp.  1.0 - 5.0 Year(s)

    Qualification       Any Graduation, Any Post Graduation

    No of openings    4

    Working days      5

     

    Job Responsibilities:

     

    Designation: Data Scientist | Academic Operations

    Own the student's learning outcomes by providing them with support on the topics covered in the curriculum.


    ● Involve in the residency class room sessions to facilitate lectures and lab sessions

    ● Be the first point contact for participants for academic queries and manage discussion groups

    ● Monitor participants' academic performance and make learning interventions in the form of remedial sessions, coaching and mentoring Coordinate with faculty to create best in class learning material - video, reading material, assignments, exams

    ● Design and conduct examinations to measure the learning outcome of participants

    ● Identify & Solve interesting problems involving rich datasets in various domains accordingly, create capstone projects on the evolving use cases in the industry

    ● Identify key emerging trends in the industry and maintain a rich reference material
    ● Assist program director and senior operations and academics managers in planning
    on-campus sessions, preparing schedules, evaluation and grading

    ● Identify key reporting metric sand create dashboards to enable quick decision making Automation of manual data collection, data cleansing and exploratory data analysis
    ● Create and maintain business and technical requirements
    ● Identify technical solutions and perform feasibility analysis
    ● Create technical roadmaps for the operations Team

    ● Manage, identify and suggest processes for smoother program management to ensure a consistent and trouble free learning experience
    ● Coordinate with IT and Admin to ensure smooth execution at various locations
    ● Travel to other cities if required to manage residencies

     

    Relevant Background:
    ● Graduate with an exceptional academic track record

    Competency: (Top 3)
    1. Passion for learning and having great learning outcomes
    2. Ability to multitask and coordinate with multiple stakeholders
    3. Excellent knowledge in python, tableau and ML concepts

     

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