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10/02 Richa Khurana
Senior Engagement Manager at Bay Steeds

Views:249 Applications:92 Rec. Actions:Recruiter Actions:6

Data Scientist - Academic Operations Vertical (2-8 yrs)

Bangalore Job Code: 890948

Designation: Data Scientist | Academic Operations

Job Responsibilities:

Your primary job responsibility will include (and not limited to):

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 :

- Degree 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

Women-friendly workplace:

Maternity and Paternity Benefits

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