Data Scientist for Oil Palm Research - Jagoan Loker

Data Scientist for Oil Palm Research

Date Posted: 1 day ago
Salary:
Riau

Job Description

Job Descriptions:

Lead the team, and manage the budget for research and operational needed to support the activities

Providing advance on experimental design and quality control data

Developing mathematical and statistical analysis for research in agronomy, breeding, pest entomology, and operational research.

Supervising all data management including research project, analyzing, visualizing and reporting.

Develop dashboard using R-Shiny to monitor, to visualize and to analyze palm performance

Conducting research in oil palm that has a high sustainable benefit to the company

Qualifications:

At least S2 in Statistics or Data Science

Fresh graduates are welcome

Good knowledge in various machine learning and deep learning technique

Experience in querying and analytical model using R and SQL

Have a good competency in experimental design and make exploratory data analysis for agriculture research dataset

Able to understand various data structures and common method in data transformation

Good thinking, personality, analytical, communication skill, and able to work as team.

Naturally curious, analytical, detail-oriented, and has a high interest to participate and to conduct research.

Willing to be placed in our research center in Kandis, Riau.

"Our company has never levied any fees for the recruitment process nor has it required to order tickets and accommodation through a certain travel agent or certain person" ​

Sinar Mas

Related Jobs

Job Detail

  • Location
    Riau
  • Company
  • Type
    Private
  • Employment Status
    Permanent
  • Positions
    Available
  • Career Level
    Experience
  • Gender
    Male/Female

Contact Sinar Mas

Sponsored by

https://kalam.id connects jobseekers and recruiters by accurately matching candidate profiles to the relevant job openings through an advanced 2-way matching technology. While most job portals only focus on getting candidates the next job, Shine focuses on the entire career growth of candidates.