Data Scientist

Instructor
Talent Insider
10 November 2023
Jakarta, Jakarta Selatan

About the Company:

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.

Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

Job Description:

  •  Develop Strategies For Capturing, Collating, And Preparing Data For Necessary Analysis. Data Includes But Not Limited To Statistics Data, Social Registry Data (Regsosek), Planning Data, Financial Data, Data On Monitoring, And Other Data Required For Analysis.
  • Process And Develop Data Models With Programming Languages Like R And Python, STATA, Etc. Then Deploy Those Models Into Applications.
  • Provide Guideline As Reference For Central And Sub-national Governments For Organizing Data To Ensure Data Is Accurate And High Quality, Especially Data On Women, Disabilities, And Vulnerable And Their Needs (GEDSI).
  • Provide Technical Expertise And Work Closely With SKALA-GEDSI Team To Identify And Interpret Pattern And Trends On Specific GEDSI Data To Ensure Data On Women, Disabilities And Vulnerable Individual And Their Needs Are Available And Accurate.
  • Work Collaboratively With Programmers To Identify Process Improvement Opportunities, Propose System Modifications, And Data Governance Mechanism That Will Ensure GEDSI Data Are Accessible.
  • Other Tasks As Requested By SKALA.

Job Requirements:

  • Bachelor or master’s degree in computer science with a minimum of 10 years’ experience in data science or related field
  • Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
  • Experience in handling reporting packages like Business Objects, programming, and databases.
  • Advance use of languages like Python, R, or MATLAB
  • Proficiency in statistics and statistical packages like STATA, Excel, SPSS, SAS to be used for dataset analysis.
  • Excellent interpersonal skills and written and verbal communication skills.
  • Ability to work both independently and as part of a team to achieve goals

Skils: