Job summary
Job category | IT Engineering (System Engineer / Web / Gaming)/System Engineer (Upstream Process / Sales) |
---|---|
Industry | Other/ |
Employment type | Uncategorized |
Position level | Other |
Number of openings | 1 |
Desired entry time | - |
Required language skill |
English (Business) |
Foreign language competence | - |
Working hours | Others |
Welfares / Leave systems |
Work details
<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
<Necessary Skill / Experience >
・Bachelor's degree in IT/Computer Science/Mathematics/Statistic
・Business English proficiency
・Min 4 years as data scientist experienced in IoT and or Telematics related field being advantageous, experienced in Machine learning, programming (Python/ R), Big data technology, Data visualization
・ 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
About interview
Liaison
Data Scientist - Telematics
RGF HR Agent
15 〜 30 million Rp