Junior Data Scientist

Tecforte Sdn Bhd; Petaling Jaya; On-site; MYR 60,000 - 120,000; Full time

Job summary

Tecforte Sdn Bhd is seeking a Data Scientist who is curious, analytical and commercially minded. You will collaborate with AI engineers, software developers, product teams and industry specialists to turn real-world data into practical capabilities.

Your work will include discovering intelligence from diverse data sources, building ML models, and presenting actionable insights to project directors and managers to support decision-making.

Qualifications

• Degree in data-related field (data science, CS, AI, statistics, maths or engineering).
• 1–2 years related work experience.
• Strong analytical and logical thinking.
• Good understanding of statistics, ML and data analysis.
• Experience with Python and common data science libraries.
• Ability to work with structured and unstructured data.
• Understanding of ML concepts and model evaluation.
• Strong research and information-gathering ability.
• Ability to learn unfamiliar technologies and industries.
• Strong communication and presentation skills.

Responsibilities

• Discover intelligence from real-world data from CCTV, sensors, and more.
• Develop AI/ML models for anomaly detection, classification and prediction.
• Analyze time-series, spatial, movement and event-based data.
• Support CV models by building the intelligence layer above raw detection.
• Prototype new analytical ideas with real customer/site data.
• Translate findings into simple business insights for management.

Skills

Python

Statistics

Machine Learning

Data Analysis

Structured Data

Unstructured Data

Model Evaluation

Research Skills

Communication Skills

Learning Ability

Education

Bachelor's degree in Data Science / Computer Science / AI / Statistics / Mathematics / Engineering

Tools

Pandas

NumPy

SciKit-Learn

TensorFlow / PyTorch

Job description

We are looking for a Data Scientist who is curious, analytical and commercially minded - someone who does not simply analyse data, but asks "What does this data tell us that the customer does not know today?" We value thinking, curiosity and problem-solving as much as technical skills.

You will work closely with our AI engineers, software developers, product team and industry specialists to discover new intelligence, develop analytical models and turn real-world data into practical capabilities.

Responsibilities:

1. Discover Intelligence from Real-World Data

Analyse data from CCTV, computer vision, radar, sensors, access control, vehicles, workers, equipment and other sources.

Identify patterns, anomalies, correlations and relationships that may not be immediately visible.

Develop methods to determine what is normal, abnormal, risky or potentially important.

Explore how multiple data sources can be combined to create higher-value intelligence.

2. Develop AI & Data Science Models

Build and evaluate statistical, machine learning and AI models.

Develop models for anomaly detection, classification, prediction, risk scoring and behavioural analysis.

Analyse time-series, spatial, movement and event-based data.

Support computer vision models by developing the intelligence layer above raw detection.

Continuously evaluate model accuracy, false positives, false negatives and real-world performance.

4.Research Industries & Customer Problems

Research industries that can benefit from Vision AI and operational intelligence.

Understand what information Project Directors, Security Managers, Operations Managers and Government agencies need to make better decisions.

Identify information gaps that existing CCTV and conventional systems cannot answer.

Benchmark competitors and emerging technologies globally.

Convert research findings into potential product capabilities and business opportunities.

5. Develop New Product Capabilities

6. Build & Validate Proofs of Concept

Rapidly prototype new analytical ideas.

Work with real customer/site data where available.

Test hypotheses and determine whether an idea is technically and commercially viable.

Present findings clearly to management, product teams and customers.

Translate complex analytical results into simple business insights.

Requirements:

Must-Have:

Degree in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering or a related discipline.

1 - 2 years related work experience.

Strong analytical and logical thinking.

Good understanding of statistics, machine learning and data analysis.

Experience with Python and common data science libraries.

Ability to work with structured and unstructured data.

Understanding of machine learning concepts and model evaluation.

Strong research and information-gathering ability.

Ability to independently learn unfamiliar technologies and industries.

Strong communication and presentation skills.

Nice-to-Have:

Experience or knowledge in:

Computer Vision

Video analytics

Deep learning

Time-series analysis

Anomaly detection

Predictive analytics

Graph / relationship analytics

Geospatial or movement analytics

Edge AI

Generative AI / LLMs

Sensor fusion

Digital twins

SQL / databases

Cloud or edge computing