Data Science Engineer

Data Science Engineer

Role Overview As a Data Science Engineer, you will operate at the critical intersection of data engineering, machine learning, and software development. Your mission is to build the technical infrastructure that brings advanced analytical models to life. You won’t just be building models; you will be designing the robust, scalable pipelines that feed them and the production environments that host them. Working within our Group Analytics and AI division, you will collaborate with cross-functional teams to bridge the gap between raw data and high-impact business intelligence.

Key Responsibilities

Data Engineering & Pipeline Architecture

• ETL Design: Design and construct robust, scalable data pipelines for efficient Extraction, Transformation, and Loading (ETL) processes.

• Pipeline Optimization: Ensure that all data pipelines are reliable and capable of handling high-volume, enterprise-level data streams.

• Collaboration: Partner with Data Engineers to conduct exploratory data analysis (EDA) and execute rigorous data cleaning and preprocessing.

Model Development & Productionization

• Implementation: Execute the full lifecycle of machine learning models, including training, validation, and testing phases.

• Feature Engineering: Build and maintain feature engineering pipelines to extract meaningful signals from raw datasets, enhancing overall model performance.

• Deployment: Collaborate with software developers to transition models from research environments into live production systems.

• System Integration: Utilize Python, Java, or similar languages to integrate data science solutions into larger, complex software architectures.

Optimization & Performance

• Algorithm Tuning: Optimize models and algorithms for maximum efficiency, scalability, and performance.

• Continuous Monitoring: Implement proactive monitoring systems to track the health of deployed models and drive iterative improvements.

• Technical Documentation: Maintain meticulous records of code, architecture, and model implementations to ensure reproducibility and seamless knowledge sharing.

Required Skills & Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative discipline.

• Technical Proficiency:

  • Programming: Strong skills in Python or Java for both engineering and data science tasks.

  • ML Frameworks: Hands-on experience with libraries such as scikit-learn, TensorFlow, or PyTorch.

  • Big Data: Familiarity with data processing frameworks like Apache Spark.

  • DevOps & Version Control: Proficient in Git and collaborative development practices within an Agile environment.

• Core Competencies:

  • Modeling Foundation: Solid understanding of statistical modeling, machine learning algorithms, and data structures.

  • Problem Solving: Exceptional analytical skills with a focus on addressing complex business challenges.

  • Communication: Ability to effectively convey technical architectures and data insights to both engineering teams and non-technical stakeholders.

Why Join Dialog Axiata?

Join a premier telecommunications leader where your work directly impacts millions. In the Group Analytics and AI division, you will have the opportunity to work with one of the most diverse and high-volume datasets in the region. We provide an environment that encourages R&D, rewards technical precision, and offers a clear path for engineers who want to lead the next generation of AI-driven innovation.

Are you ready to engineer the future of intelligence? Apply today to join the Dialog Axiata team.

More information

Job Location : Colombo, Sri Lanka
City : Colombo
Company Name : Air Arabia

More Jobs