Job closed.
Job Description
- Develop predictive analytics for user behaviour and apply machine learning and/or optimization techniques in core subject areas including but not limited to recommender systems, information retrieval, natural language understanding, image and object recognition
- Formulate data science problem statements from business problems
- Visualize data and insights for both business and technical audiences
Minimum Qualifications
- Proficient in SQL and one or more of the following programming languages: Python, R, Scala
- Knowledge of various machine learning techniques (clustering, classification, deep learning, etc.) and their real-world advantages/drawbacks
- Experience with machine learning frameworks (scikit-learn, Spark MLlib, etc)
- Able to build, validate, test, and deploy machine learning models
- Capable of building hypotheses and demonstrate the ability to identify and communicate data driven insights
- Superior data and analytical skills including the ability to define and decompose relevant metrics and evaluate the corresponding impacts in the context of Ruangguru’s business
- Willing to conduct undirected research to optimize untapped areas of growth
- Detail-oriented and excellent time manager who thrives in a fast-paced working environment
- Independent learner, self-motivated, and willing to share knowledge with team members
- Participation in Kaggle or any other Data Science competition is a plus
- Experience in building ML models at scale using real-time data pipelines such as Spark is a plus
Jobs Summary
- Job Level
- Entry Level / Junior, Apprentice
- Job Category
- Architecture and Engineering
- Educational Requirement
- Bachelor's degree graduate
- Recruiter response to application
- Always
- Office Address
- Graha Sapta, Jl. Tebet Barat Dalam Raya No. 22 Tebet, Jakarta 12810, South Jakarta, DKI Jakarta, Indonesia
About Ruangguru
Ruangguru merupakan perusahaan teknologi terbesar dan terlengkap di Indonesia yang berfokus pada layanan berbasis pendidikan dan telah memiliki lebih dari 13 juta pengguna serta telah mengelola lebih dari 500.000 guru yang menawarkan jasa di lebih dari 100 bidang pelajaran. Perusahaan ini didirikan sejak tahun 2014 oleh Belva Devara dan Iman Usman, yang keduanya berhasil masuk dalam jajaran pengusaha sukses dibawah 30 tahun melalui Forbes 30 under 30 untuk teknologi konsumen di Asia.
Ruangguru berkomitmen untuk menjadi mitra bagi pemerintah daerah demi memberikan pendidikan berkualitas melalui Sistem Manajemen Belajar (LMS). Tahun lalu, Ruangguru berhasil bekerja sama dengan 32 (dari 34) pemerintah provinsi dan lebih dari 326 pemerintah kota dan kabupaten di Indonesia. Selain itu, Ruangguru juga menawarkan video belajar berlangganan, marketplace les privat, layanan bimbingan belajar on-demand, tryout ujian online, dan lain-lain.