Employment Type PermanentClosing Date 30 July 2024 11:59pmJob Title Data Solution Engineering Senior Specialist - Data Science Senior SpecialistJob Summary As Data Solution Engineering - Senior Specialist, you lead aspects of the development and delivery of best practice solutions that empower teams across Telstra to leverage our digital assets. As a trusted partner and advisor, you collaborate with Data Sourcing Engineers and Data Scientists to source and translate quality data into operational solutions. You understand the business problems, ensure architecture aligns with, and systems meet the business requirements in the delivery and integration of complex data platformsAbout TelstraWe're Australia's leading telecommunications and technology company. And with a global presence in more than 22 countries, we have a strong global footprint. Our purpose is to build a connected future so everyone can thrive. We're all about providing the best experience and delivering the best tech on the best network. This includes making Telstra the place you want to work.We offer a full range of services and compete in all telecommunications markets throughout Australia and are the most well-known brand in technology and communications industry.We have operations in more than 20 countries, including in India. In India we are a licensed Telecom Service provider (TSP) and have extended our global networks into India with offices in Bangalore, Mumbai and Delhi. Weve opened an Innovation and Capability Centre (ICC) in Bangalore and have a presence in Pune and Hyderabad. In India, weve set out to build a platform for innovative delivery and engagement that will strengthen our position as an industry leader. Were combining innovation, automation and technology to solve the worlds biggest technological challenges in areas such as Internet of Things (IoT), 5G, Artificial Intelligence (AI), Machine Learning, and more.What you\'ll doBeing part of Data Engineering means you\'ll be part of a team that focuses on extending our network superiority to enable the continued execution of our digital strategy. With us, you\'ll be working with world-leading technology and change the way we do IT to ensure business needs drive priorities, accelerating our digitisation programme.We are seeking a highly skilled and motivated Data Science Lead to join our Data Engineering team at Telstra. As a Data Science Lead, 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.Job Location - Bangalore.Role contextAs a Data Science Lead, you will be responsible for the development of data models and data analysis, by leveraging your experience in data science and machine learning, to support the delivery of timely, relevant, accurate and actionable intelligence. This individual will apply proven industry and technology experience as well as communication skills, problem-solving skills, and knowledge of best practices to issues related to design, development, and deployment of mission-critical systems with a focus on quality application development and delivery.Key Responsibilities
This is how you will bring the purpose of your role to life:\xc2\xb7 Collaborate with cross-functional teams to identify business requirements and define data science objectives.\xc2\xb7 Design, develop, and deploy scalable data engineering and data science solutions to extract, transform, and load data from various sources.\xc2\xb7 Apply advanced statistical and machine learning techniques to analyse large datasets, perform predictive modelling, and generate actionable insights.\xc2\xb7 Develop data pipelines and workflows to enable efficient data processing, feature engineering, and model training.\xc2\xb7 Implement best practices for data governance, data quality, and data security.\xc2\xb7 Stay up to date with the latest advancements in data science and emerging technologies to drive continuous improvement and innovation.\xc2\xb7 Communicate findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and concise mannerWho we're looking for.\xc2\xb7 Strong programming skills in languages such as Python, R, or Scala\xc2\xb7 Strong Experience with data manipulation, transformation, and analysis using SQL and/or NoSQL databases.\xc2\xb7 Strong understanding of end-to-end machine learning lifecycle and best practices.\xc2\xb7 Proficiency in machine learning techniques, including regression, classification, clustering, and recommendation systems.\xc2\xb7 Familiarity with big data technologies such as Apache Hadoop, Spark, or similar frameworks\xc2\xb7 Knowledge of data visualization tools, such as Power BI to effectively communicate insights.\xc2\xb7 Knowledge of MLOps frameworks and ML architecture\xc2\xb7 Strong experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform\xc2\xb7 Knowledge of distributed systems and parallel computing\xc2\xb7 Familiarity with data engineering principles, including data modelling, ETL/ELT processes, and data warehousing.\xc2\xb7 Experience with version control systems, such as Git.\xc2\xb7 Excellent problem-solving and analytical skills, with a keen attention to detail\xc2\xb7 Strong communication and collaboration skills to work effectively in a cross-functional team environment.\xc2\xb7 Degree level IT qualifications in Software or Systems Engineering.\xc2\xb7 Minimum experience 8+ years in ML engineering, data science, or a similar roleCall to actionIf you're excited about the opportunity to be part of a team, committed to delivering amazing experiences to our customers - this could be the role for you!Were committed to building a diverse and inclusive workforce in all its forms. We encourage applicants from diverse gender, cultural and linguistic backgrounds and applicants who may be living with a disability. We also offer flexibility in all our roles, to ensure everyone can participate.To learn more about how we support our people, including accessibility adjustments we can provide you through the recruitment process, visit www.telstra.com.au/careers/diversity-and-inclusion.
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