Lowongan kerja terbaru,- The focus of our data science team is to work on highly scalable data-driven products that have massive impact on the business. If you are passionate in finding patterns in big data and developing prediction models, this is the place for you. Tokopedia encourages Nakama to be creative in building products, learning continuously, and solving interesting problems. In here, sky is the limit!
Requirements :
- Minimum Bachelor’s degree in quantitative field, e.g. Math, Physics, and Computer Science
- Minimum 1 year of working experience as Data Analyst, Data Scientist, Data Engineer, or similar position
- Have passion in big data, data mining, and machine learning
- Proficient in programming language, i.e : Python, R, Scala, etc
- Have natural curiosity and desire to learn
- Proficient in several modeling techniques including but not limited to: Clustering, SVM, Linear/Non-Linear Modeling, Random Forests, ANN, etc.
- High spirit in model testing and validation to create accurate and consistent models
- Comfortable in mining unstructured dataset and processing it to become usable dataset
- Familiar with relational/NoSQL database, SQL, and ETL process
- Good communication skill for both oral and written
- Have knowledge in big data tools such as Hadoop and Spark is a plus
- Participation in Kaggle is a plus
RESPONSIBILITES :
- Develop robust machine learning models
- Extract huge volumes of data from multiple internal and external sources.
- Develop data pipelines and infrastructure to scale and automate the analyses that enable rapid product iteration
- Work closely with Data Analysts, Software Engineers, and Product Owners to deliver insights and impactful products for Tokopedia.
- Devise data mining process and architecture
- Read research papers / article to create the best model / system architecture available
- Explore and examine data from a variety of angles to determine hidden weaknesses, trends, and/or opportunities.
- Employ sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive & prescriptive modeling
For more info klik Tokopedia Career