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MAS Holdings

Executive - Data Scientist

MAS Holdings Battaramulla, Western Province, Sri Lanka

Apparel & Fashion · 10,001+ employees

7 h ago Closes today
data-scientist Mid (2-5 yrs) Full-time Sri Lanka
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About the role

The role involves developing predictive models, machine learning algorithms, and complex PowerBI solutions to extract actionable insights. You will also design robust data pipelines and integrate AI/ML models into business systems to enhance operational efficiency.

What they look for

PowerBI DAX Python Machine Learning Predictive Modeling Data Engineering ETL Pipelines Cloud Computing AWS Azure Google Cloud SQL NoSQL Agentic AI Data Visualization Statistical Analysis

Requirements

Candidates must hold a bachelor's or master's degree in a relevant field such as Computer Science, Statistics, or Data Science. Proficiency in Python, advanced PowerBI/DAX, and experience with cloud platforms and ETL processes are required.

Full description

MAS is Sri Lanka’s largest exporter and South Asia’s largest design-to-delivery solution providers in apparel and textile manufacturing. With a global community of 100,000, today, MAS spans across 13 countries with its portfolio expanding into wearable technology, FemTech, logistics and fabric parks worldwide. Over three decades, MAS has gained global recognition for its ethical and sustainable working environment as well as its impeccable craftsmanship and product excellence.

Location - Battaramulla

Key Responsibilities.

  • Very strong expertise in PowerBI advanced DAX knowledge for designing and deploying complex PowerBI projects.
  • Highly proficient in developing end-to-end solutions in Power platforms and Agentic AI solutions.
  • Develop and deploy predictive models, machine learning algorithms, and statistical analyses to extract actionable insights from data.
  • Leverage data from various sources to build predictive and prescriptive models that support digital transformation initiatives.
  • Create meaningful visualizations, dashboards, and reports to present data findings to stakeholders and decision-makers.
  • Automate data-driven processes and workflows using AI/ML techniques and data engineering best practices.
  • Integrate AI/ML models into business systems to improve decision-making, automate tasks, and enhance operational efficiency.
  • Design and build robust data pipelines, ETL processes, and architectures to handle both structured and unstructured data from various sources, including scraped web data.
  • Implement scalable data storage solutions using cloud-based platforms (AWS, Azure, Google Cloud).
  • Ensure the security and integrity of data through effective data governance and best practices.

Qualifications and Skills

  • Bachelor's and/or master’s degree in computer science, Statistics, Data Science, Data Engineering, Industrial Systems Engineering or a related field.
  • Certifications or coursework in Advance PowerBi and DAX, digital transformation, AI/ML, or AI engineering is a plus.
  • Proficiency in Python (Advanced preferred), R, Java, or Scala.
  • Strong experience in building ETL pipelines and working with tools like Apache Airflow, Talend, or similar.
  • Hands-on experience with cloud computing platforms such as AWS, Azure, or Google Cloud for data storage, processing, and machine learning deployment.
  • Skilled in working with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and data lakes.

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