Join Telstra as a Data Engineering Analyst - Data Science Engineer

Employment Type: Permanent

Closing Date: 6 July 2024, 11:59pm

Job Summary

Are you a skilled Data Engineering Analyst passionate about creating high-quality and reliable data solutions? Join Telstra and collaborate with our team to develop leading data solutions and pipelines. Your expertise will ensure data integrity and accuracy, driving data-driven business decisions and enhancing customer and business outcomes. You'll work in a DevOps environment, developing data pipelines using Continuous Integration and Continuous Deployment (CI/CD) techniques.

Job Description

Telstra is seeking a highly motivated Data Science Specialist to join our Data Engineering team. In this role, you'll be instrumental in building and deploying end-to-end Data Science applications, driving insights, and fostering innovation in our telecommunications business.

Responsibilities

• Collaborate with cross-functional teams to define business requirements and data science objectives.
• Design, develop, and deploy scalable data engineering and data science solutions to extract, transform, and load data from various sources.
• Apply advanced statistical and machine learning techniques to analyze large datasets, perform predictive modeling, and generate actionable insights.
• Develop data pipelines and workflows to enable efficient data processing, feature engineering, and model training.
• Implement best practices for data governance, quality, and security.
• Stay up-to-date with the latest advancements in data science and emerging technologies.
• Communicate findings, insights, and recommendations clearly to both technical and non-technical stakeholders.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 4-8 years of proven experience in ML engineering, data science, or a similar role.
• Strong programming skills in languages such as Python, R, or Scala.
• Experience with data manipulation, transformation, and analysis using SQL and/or NoSQL databases.
• Knowledge of end-to-end machine learning lifecycle and best practices.
• Proficiency in machine learning techniques, including regression, classification, clustering, and recommendation systems.
• Familiarity with big data technologies such as Apache Hadoop, Spark, or similar frameworks.
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Understanding of data engineering principles, ETL/ELT processes, and data warehousing.
• Experience with version control systems such as Git.
• Excellent problem-solving and analytical skills with attention to detail.
• Strong communication and collaboration skills for cross-functional teamwork.

Preferred Qualifications

• Knowledge of data visualization tools like Power BI for effective communication of insights.
• Familiarity with MLOps frameworks and ML architecture.

Join Telstra and make a significant impact by leveraging your Data Engineering and Data Science expertise. Apply by 6 July 2024, 11:59pm, to be part of our innovative team driving better customer and business outcomes.