Job Description:
- Data mining or extracting data from trusted and valuable data sources
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out pre-processing of structured and unstructured data
- Automate the data collection that include all relevant data
- Develop analytics system to process the collected data
- Processing, cleansing, and validating the data
- Analysing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results with valid data visualizations
- Propose solutions and strategies to overcome the business challenges or helping the business enhancement
- Collaborate with Business and IT Departments
Requirement:
- Majoring in IT, max 35 years old.
- Have at least 3+ years of professional experience in Data Science, Data Analytics, Business Analytics, or related field working with data
- Unafraid to deal with large, dirty, and messy data and can create ETL to clean and make the data workable – Amazing problem solver (e.g., RapidMiner)
- Strong problem solving, quantitative, and analytical skills
- Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience formulating Data Science solutions to business problems
- Expected to have strong leadership skills and the ability to mentor and guide junior team members. Collaborating effectively with cross-functional teams and leading data science initiatives are valuable attributes.
- Proven ability to recognize business needs and to communicate with multiple stakeholders within the Product Management, Business and Operations teams
- Proficiency in programming is a must, especially in languages like Python or R. You should be able to master and utilize various data science libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark. Experience in software development and an understanding of software engineering principles are also appreciated.
- Knowledgeable in SQL, data visualization using tools like Tableau
- Past participation in science Olympiad or Kaggle is a plus
- Willing to be placed in Jakarta or other company office including project on client side
