[Middle-Senior] Data Engineer

Requirements:
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 Job Descriptions:
Data mining or extracting data from trusted and valuable data sources
Using machine learning tools to select features, create and optimize classifiers
Carrying out preprocessing 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
Analyzing 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