Enable job alerts via email!

Data Scientist

Michael Page

Kuala Selangor

On-site

MYR 60,000 - 80,000

Full time

Today
Be an early applicant

Job summary

A large organization in the industrial sector is seeking a Data Scientist to analyze large datasets, develop predictive models, and collaborate with international teams. The role requires a degree in Data Science or related fields, proficiency in Python or R, and experience with data visualization tools. This position offers a one-year contract with medical benefits and opportunities to work with cutting-edge technologies.

Benefits

Medical Benefits
Opportunities to work with cutting-edge technologies
Collaborative work culture

Qualifications

  • Strong knowledge of programming languages such as Python or R.
  • Experience with data visualization tools and techniques.
  • Proficiency in handling large datasets and working with databases.

Responsibilities

  • Analyze large datasets to identify patterns and trends.
  • Develop and implement predictive models and algorithms.
  • Collaborate with teams to translate business needs into data solutions.

Skills

Strong knowledge of programming languages such as Python or R
Experience with data visualization tools
Analytical mindset
Problem-solving skills
Ability to work collaboratively

Education

Degree in Data Science, Computer Science, Statistics, or a related field

Tools

SQL
NoSQL databases
Data visualization tools
Job description
Overview
  • Work in exciting new projects with new technologies
  • Opportunity to work in cross functional international teams
About Our Client

The hiring company is a large organization within the industrial/manufacturing industry. It is committed to innovation and utilizing advanced technologies to enhance its operations and deliver exceptional results.

Job Description
  • Analyze large datasets to identify patterns, trends, and actionable insights.
  • Develop and implement predictive models and machine learning algorithms.
  • Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
  • Present findings and recommendations to stakeholders in a clear and impactful manner.
  • Maintain and optimize existing data pipelines and systems.
  • Ensure data quality and accuracy through robust validation processes.
  • Research and apply the latest technologies and methodologies in data science.
  • Support decision-making processes with advanced data analytics.
  • Analyze complex datasets to uncover actionable insights and trends.
  • Develop and implement machine learning models to solve business challenges.
  • Collaborate with cross-functional teams to identify data-driven solutions.
  • Create data visualizations and dashboards to communicate findings effectively.
  • Ensure data quality and integrity throughout the analysis process.
  • Provide technical expertise to enhance data processing and analytics systems.
  • Document processes, methodologies, and results for future reference.
  • Stay updated on the latest trends and advancements in data science and technology.
  • Requirements analysis and customer consulting for analytics topics.
  • Identification, extraction, transformation and loading of data.
  • Storing data in relational, multidimensional, and NoSQL databases or data lakes both on-premises and in the cloud.
  • Modelling of data according to common methods for further processing.
  • Testing and quality assurance of data.
  • Use of source control and CI/CD processes.
  • Analyse linking of data using SQL, statistics, and data science to generate new insights.
  • Visualize data taking into account best practices such as information design with popular reporting and dashboarding systems.
  • Provide data through file sharing or REST APIs.
  • Creation of data architectures based on public cloud services
  • Collaboration in agile projects.
The Successful Applicant

A successful Data Scientist should have:

  • A degree in Data Science, Computer Science, Statistics, or a related field.
  • Strong knowledge of programming languages such as Python or R.
  • Experience with data visualization tools and techniques.
  • Proficiency in handling large datasets and working with databases.
  • Understanding of machine learning models and statistical methods.
  • An analytical mindset with excellent problem-solving skills.
  • Ability to work collaboratively in a team environment.
What\'s on Offer
  • Contract: 1 year
  • Medical Benefits
  • Opportunities to work with cutting-edge technologies in the industrial/manufacturing sector.
  • Collaborative and innovative work culture.

If you are passionate about data and innovation, apply now to take the next step in your career as a Data Scientist!

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.