Senior Data Scientist

Overview

LyncLab WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Senior Data Scientist LyncLab WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Get AI-powered advice on this job and more exclusive features. We are looking for a data scientist to lead the development of data solutions to solve business problems through data automation, visualisation, and advanced analytics. You will work to extract knowledge and insights from structured and unstructured data while helping to define and implement data science solutions. This entails understanding and implementing modern machine learning methods and data driven decisions, applying them to maritime mobility data, and providing convincing evidence of their effectiveness.

Responsibilities

Acquire deep understanding of the business problems and translate them into appropriate business solutions.

Engage in both exploratory analysis and predictive models to identify data trends and anomalies

Explore new hypotheses, build deep learning algorithms and be responsible to maintain model quality over time

Apply rigorous statistical techniques to validate findings and quantify uncertainty in models

Communicate findings to stakeholders in a clear and concise manner

Design, execute and monitor experiments

Identify trends and opportunities from the data and influence product roadmaps

Develop dashboards to track relevant metrics

Develop and maintain a data pipeline of large-scale data indexing

Work with engineers to improve the data collection process

Document analytical findings for technical teams, executives, or publication

Play role in knowledge development and mentorship to junior colleagues

Qualifications

At least Bachelor Degree in Actual Science, Statistics, Computer Science, Data Science, Engineering or relevant field, and minimum 3 years of data science experience

Strong statistical foundation — able to reason about assumptions, limitations, and applicability of modeling approaches

Strong analytical and problem-solving skills with proven ability to analyse and research data to identify and resolve complex issues relating to behavioural and mobility analytics

Proficient in Python and SQL languages

Experience in using machine learning libraries such as Scikit-learn, Tensorflow, Keras or Pytorch

Experience in model hyper-parameter tuning, embeddings and feature engineering

Experience in natural language process (NLP), statistical modeling, network analysis, and data mining techniques

Added advantage if familiar with Automatic Identification System (AIS) data

Added advantage if familiar with Mobility Analytics Use Cases

Added advantage if familiar with Google BigQuery and PostGIS

Excellent written and verbal English communication skills

Comfortable working in a fast-pace, innovative environment where problems are not always well defined

What We Look For We are looking for individuals which are growth-minded with high learning agility. We also value data scientists who can think critically about model assumptions, causal inference, uncertainty, and experimental design, ensuring that solutions are not only accurate but also explainable and reliable in real-world maritime settings.

Apply Now.

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