Work In Tech

ApplyBoard simplifies the study abroad search, application, and acceptance process by connecting international students, recruitment partners, and educational institutions on one intuitive and personalized platform. ApplyBoard is a mission-driven, hyper-growth organization. It has been attracting dedicated individuals for more than eight years who are inspired every day to break down barriers to international education and take their careers to new heights at a company that will invest in their career growth. Our six core values are our compass in our mission to Educate the World and the foundation of our unique company culture. As an organization built on a foundation of diversity, it’s important that our team members are representative of the students from more than 150 countries that we support.

The Opportunity:

The ideal candidate will have a strong foundation in statistics, data science, and/or pattern recognition who will be valuable to organize, interpret and transform large datasets into actionable intelligence. In this role, it is expected to use best practices to identify data-driven opportunities for innovation, build analytics, and create machine learning models for deployment across the company.

What you’ll be doing every day:
Partner with our internal teams to address their data analytics needs.
Utilize various data science skills (such as regression models, survival models, LTV models, time series analysis and prediction, etc.) to guide the various business decisions.
Guide data strategies to interpret and predict human behaviour
Work with an innovative team to shape the future using objective data-driven decisions
Identify and qualify new data sources, techniques, and datasets to enhance insight
Interpret relevant insights from diverse datasets including time-series data
Validate results using best practices in math and statistics
Visualize and present insights and models clearly and effectively to diverse audiences
There might be a need to create machine learning models to build a world-class data driven product

What you bring to the table:
Degree in mathematics, statistics, engineering, computer science, finance, or similar
3+ years of experience in Data Science and/or Machine Learning
Demonstrated ability to learn, adapt, and solve tough problems
Strong analytical skills, strong model and software development skills and an open mind
Experience and passion for applying statistical and data mining techniques to overcome real world challenges - deriving intelligence from data
Experience writing complete, clear, and concise designs, data models, and algorithms
Highly proficient at disseminating complex technical concepts in both written and oral forms with the ability to communicate this across all levels of the business
Experience building data-driven software solutions with Python
Experience querying and analyzing data using SQL
Experience with visualization tools (Tableau)
Driven, passionate and creative, and thrives in a fast-paced environment

About ApplyBoard

ApplyBoard empowers students around the world to access the best education. With more than 800,000 students from over 150 countries helped with their journey in less than a decade, we are just getting started.

ApplyBoard’s 1,350 global team members in 30 countries assist students and our 1,500 partner institutions by empowering the international student sector with innovative technology and insights. As a four-time consecutive Deloitte Fast 50 and Fast 500 ranked company, ApplyBoard is growing and scaling like few other companies. On top of our strong growth, our people are growing personally and professionally. ApplyBoard India was Great Place to Work® Institute (India) certified for outstanding employee experience and workplace culture.

Thank you for your interest in joining the ApplyBoard Team and being part of our mission to Educate the World. While we are lucky to attract a high level of interest in each of our roles, only qualified applicants will be contacted and selected for an interview.

ApplyBoard welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates in all aspects of the hiring and selection process.