Data Scientist

GREDU

Pasar Minggu, Jakarta, Indonesia (Remote possible)

Company prefers not to disclose

Data Science

Full-Time

1 - 3 years of experience

Job benefits

Flexible work hours
Remote work options
Medical coverage

Must have skills

Data Science

Data Scientist

Statistical Data Analysis

Data Analysis

Job description for Data Scientist at GREDU

Job Description:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams

Requirements:
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of any: R, SQL, Python, Scala, Java or C++ would be a plus
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Analytical mind, problem solving skills and strong math skills (e.g. statistics, algebra)
- Excellent communication and presentation skills

GREDU

201 - 500 employees

GREDU is a social ed-tech platform that aims to increase the level of engagement in a school environment to improve the overall schooling experience, for teachers, parents, and students.

How We Work:

Iterate - We believe that "Speed Trumps Perfection" so we test and deploy daily.
Collaborate – Better than making the dream work, teamwork makes the code work. Through a fun work-space, Slack and peer reviews, our teams work together to build amazing solutions.
Innovate – With the belief that “Everything is Written in Pencil”, we encourage our teams to test new frameworks, learn new languages and challenge the “status quo” to make us better.

What is it like working at GREDU?

GREDU culture can be said to be easy-going. We look at the result (dead-line oriented) and let our partners explore ideas and imagination on the product rather than micromanage every little detail. We would like to think of the people that work with us as our PARTNER rather than EMPLOYEE, and we always value and take-in any insight and idea that comes from our partners, because we believe that our partners have the same social value as us, which is to improve the educational environment.