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RGF HR Agent Indonesia

Gaji Kompetitif

Fulltime

Kota Jakarta Selatan

Data Scientist – Telematics (A-109705)

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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