About The Company:
- The working venue is in South Jakarta.
- Our client is a Software company. Currently, they are looking for Data Scientist.
Job Responsibilities:
- Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems.
- Detect, examine, and decode trends or patterns within intricate datasets.
- Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors.
- Coordinate with management to align business and informational priorities.
- Identify opportunities for process enhancements.
- Employ statistical techniques to scrutinize data and produce actionable business insights.
- Collaborate with the management team to determine and rank the needs of different business units.
- Develop data dashboards, charts, and visual aids to support decision-making across departments.
- Convey insights through both reports and visual presentations.
- Partner with engineering and product development teams to understand business requirements.
- Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes.
- Other responsibilities as needed.
Job Requirements:
- Bachelor’s degree in Computer Science/Information Management/ Statistics/Mathematics.
- Business English proficiency.
- Minimum 4 years as data scientist experienced in IoT and or Telematics related field being advantageous, experienced in Machine learning, programming (Pithon/ R), Big data technology, Data visualiation.
- Maximum 40 years old.
- Has ability with tools(please share the tools), able to approach data analytically, identify trends and anomalies, and make data-driven decisions, experienced in managing and analyzing large volumes of data with big data technologies, understanding the complexities and challenges of big data environments.
- Experienced in applying various analytical and modeling techniques to understand data, make predictions, and test hypotheses, able to transforming data into a more useful and interpretable form using normalization, scaling, and feature engineering techniques.
- Smart, able to work with less supervision, good work ethics, flexible.
[Only CV in English will be processed]
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