Provide data-based solutions to core problems of Education Tech and make Newton School the best learning platform with the help of AI and Machine Learning tools.
Take ownership of building data modelling pipelines for scalable and continuous systems.
Closely monitor and provide expertise on creating industry best Data Science curriculum and creating exciting project problem statements and Kaggle like competitions.
Requirements
Sharp problem-solving skills with urgency to deliver the best quality products along with an alignment with the long-term vision of the company
Very good hands-on with python and SQL (PostgreSQL)
Good working knowledge of backend development in REST Frameworks (Django)
Good knowledge and hands-on with different Machine Learning tools and modelling frameworks (Pandas, Keras/Tensorflow, sci-kit learn, NLP)
Excellent interpersonal skills to communicate and present ideas to different verticals and stakeholders. Good written and communication skills.
Working knowledge of Data pipeline and data-science model deployment (Able to learn about queueing services like Kafka etc.)
Ability to write great documentation
Ability to make data-driven decisions for any small thing
Hiring criteria
You should have or be completing the following to apply for this opportunity.
Entry Pathway
Degree or Certificate
Minimum Level of Study
Associate Degree or higher
From an Institution in
India
Study Field
B
Accounting
Commerce
Finance
Actuarial Studies
Business
Business Administration
Event Management
International Business
Management
Office Studies
Economics
Human Resources
Hospitality Management
Retail & Merchandising
Tourism
C
Communication
Media Studies
Creative Arts (all other)
Fashion Design
Film & TV
Fine Arts
Graphic Design & Visual Arts
E
Aerospace Engineering
Air Traffic Control
Aircraft Maintenance Engineering
Aircraft Operation & Aviation
Automotive & Transport Engineering
Biomedical Engineering
Chemical Engineering
Civil Engineering & Construction
Communications Engineering
H
Anthropology
Geography
Archaeology
History
Classics
Criminology
Gender Studies
Indigenous Studies
International Development
Peace & Conflict
Refugees & Forced Migration
Humanities (all other)
I
Artificial Intelligence
Bioinformatics
Computer Graphics & Animation
Computer Science (all other)
Computer Systems and Networks
Cyber Security
L
Justice & Law Enforcement
Commercial Law
Constitutional Law
Criminal Law
Family Law
International Law
Tax Law
Legal Studies
Work rights
The opportunity is available to applicants in any of the following categories.