Data Science Specialist
Telstra ICC Bengaluru
Telstra
Join Australia's largest mobile network, view our plans for NBN broadband internet, mobile phones, 5G & on demand streaming services.Employment Type
PermanentClosing Date
29 June 2024 11:59pmJob Title
Data Science SpecialistJob Summary
As a Data Science Analyst, you are proactive and curious about finding hidden patterns in data to deliver better customer and business outcomes. You collaborate with your colleagues to drive data led decision making across Telstra. By supporting the business to identify opportunities and risks you are central to our success.Job Description
Job Description:
We are seeking a highly skilled and motivated Data Science Specialist to join our Data Engineering team at Telstra. As a Data Science Specialist, you will play a crucial role in building and deploying end-to-end Data Science applications to drive insights and innovation in our telecom business.
Responsibilities:
- Collaborate with cross-functional teams to identify business requirements and define 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 analyse large datasets, perform predictive modelling, and generate actionable insights
- Develop data pipelines and workflows to enable efficient data processing, feature engineering, and model training
- Work with Senior Data Science Specialists Implement best practices for data governance, data quality, and data security
- Stay up-to-date with the latest advancements in data science and emerging technologies to drive continuous improvement and innovation
- Communicate findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and concise manner
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Proven experience (4-8 years) 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.
- Experience 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, such as AWS, Azure, or Google Cloud Platform
- Familiarity with data engineering principles, including data modelling, ETL/ELT processes, and data warehousing
- Experience with version control systems, such as Git
- Excellent problem-solving and analytical skills, with a keen attention to detail
- Strong communication and collaboration skills to work effectively in a cross-functional team environment
Good to have:
- Knowledge of data visualization tools, such as Power BI to effectively communicate insights
- Knowledge of MLOps frameworks and ML architecture
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Classification Clustering Computer Science Data governance Data pipelines Data quality Data visualization Data Warehousing ELT Engineering ETL Feature engineering GCP Git Google Cloud Hadoop Machine Learning MLOps Model training NoSQL Pipelines Power BI Python R Scala Security Spark SQL Statistics
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