Job title: Data Scientist (Up to 150K)
Job type: Permanent
Emp type: Full-time
Industry: Energy/Renewable Energy
Functional Expertise: Information Technology (IT)
Salary type: Monthly
Salary: Negotiable
Location: Chon Buri, Thailand
Job published: 2024-11-11
Job ID: 127355
Contact name: Pimchanok Yisarnkun

Job Description

More than just a recruitment company. At PRTR, we have been a part of our customer's success for 30 years as their total HR solutions partner. With 550 dedicated professionals and over 15,000 outsourced staff, we will continue to carry out our mission to develop a better career, a better life, and a better society, and thrive to become the No.1 people solutions organization in Southeast Asia.
 
We’re looking for a Data Scientist to develop advanced data solutions, collaborate with stakeholders, and deploy machine learning models to drive data-driven decisions. Ideal candidates have a strong analytics background and experience with large datasets and production-ready models.

Responsibilities

  • Collaborating with stakeholders to identify data needs and propose solutions to support data-driven decision-making.
  • Applying advanced data analysis, machine learning, and statistical techniques to create scalable, accurate, and efficient models.
  • Enhancing and maintaining analytic models, ensuring accuracy and optimizing for performance.
  • Managing data project timelines, scope, and budget while coordinating efforts across teams and stakeholders.
  • Overseeing Level 2 support for data issues, maintaining and refining models and data flows to ensure reliability and quality.

Qualifications

  • Master's Degree in Computer Science, Statistics, Operations Research, or related technical field.
  • 4+ years in data science or statistical roles, with skills in data optimization, visualization, and cluster analysis.
  • Proficiency in advanced analytics, including machine learning, statistical modelling, and algorithm development.
  • Experience with tools and languages like Python, R, SAS, SQL, and visualization platforms such as Tableau or Qlikview.
  • Skilled in handling large datasets and distributed computing frameworks (e.g., Hadoop, Spark) and deploying machine learning models in production.