Data Scientist

Carro; Selangor; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading automotive technology company in Malaysia is searching for a Data Scientist to collect, analyze, and interpret large datasets. This role requires expertise in statistical methods and machine learning to derive actionable insights that guide business decisions. Candidates should have a strong background in programming, data analysis, and communication skills to collaborate effectively with cross-functional teams. Innovative problem solvers who stay abreast of developments in data science will thrive in this position.

Qualifications

• Bachelor’s degree in a relevant field; a master’s degree can be advantageous.
• Experience or portfolio in Data Science demonstrating practical applications.
• Strong analytical skills for interpreting complex datasets.

Responsibilities

• Gather and preprocess data ensuring quality and reliability.
• Analyze datasets to identify trends and patterns for business strategies.
• Create visualizations to communicate findings to stakeholders.
• Collaborate with cross-functional teams to integrate data solutions.
• Monitor model performance and make necessary adjustments.

Skills

Python

R

SQL

Machine Learning

Data Analysis

Data Visualization

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science or related field

Tools

TensorFlow

scikit-learn

Job description

The Data Scientist is responsible for collecting, analyzing, and interpreting large datasets to derive actionable insights that inform strategic business decisions. This role involves utilizing advanced statistical methods, machine learning algorithms, and data visualization techniques to solve complex business problems and enhance operational efficiency.

Responsibilities

• Data Collection and Management: Gather and preprocess data from various sources, ensuring its quality and reliability through cleaning and validation processes.
• Data Analysis: Analyze large datasets using statistical methods and machine learning techniques to identify trends, patterns, and relationships that inform business strategies.
• Model Development: Design, implement, and refine predictive models and algorithms to address specific business challenges and improve decision‑making processes.
• Visualization and Reporting: Create visualizations and reports to effectively communicate findings to stakeholders, presenting complex data in an understandable manner.
• Collaboration: Work with cross‑functional teams, including product managers, engineers, and business analysts, to integrate data‑driven solutions into existing workflows.
• Performance Monitoring: Monitor the performance of models post‑deployment, conducting regular evaluations and adjustments as necessary to maintain accuracy.
• Continuous Learning: Stay updated with the latest developments in data science, machine learning, and industry trends to apply innovative techniques in projects.

Requirements

• Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. A relevant master’s degree might be advantageous.
• Experience: Some experience or portfolio of projects in Data Science demonstrating data‑driven analysis.
• Technical Skills: Proficiency in programming languages such as Python or R; experience with SQL for data manipulation; familiarity with machine learning frameworks (e.g., TensorFlow, scikit‑learn).
• Analytical Skills: Strong analytical skills with the ability to interpret complex datasets and derive meaningful insights.
• Communication Skills: Excellent verbal and written communication skills for presenting findings to both technical and non‑technical audiences.
• Problem‑Solving Abilities: Strong problem‑solving skills with a creative approach to addressing business challenges using data.