At Leidos, we do work that really matters inspired by our mission to make the world safer, healthier, and more efficient through technology, engineering, and science. With 25 years of local experience, our over team members, work together to solve Australia’s toughest challenges in government, defence, intelligence and border protection. We’re robust and ambitious, and we empower our people to do their best work. You’ll feel inspired by what you can achieve and will be supported by an inclusive and flexible culture that genuinely cares for your wellbeing. Together, we can be the difference.
We’ve got so much to offer at Leidos, here are a just a few of the Benefits we provide our team:
- 12 Extra Days Leave: Life Days are the Leidos way of recognising that we all need some extra time out to take care of life. By working slightly more than the minimum weekly hours (2 hours per week for full timers) you can accrue up to an extra 12 days of leave per year.
- Leidos Life Hub provides access to discount offers or cashback rewards with over 400 Australian and International retailers.
- Professional development and support to set you up for success and assist you in achieving your career aspirations.
Your New Role
This role will be responsible for the design, development, build, installation, testing and evaluation of data science solutions that utilize Big Data technologies.
Under the general direction of a designated supervisor, the successful individual will perform the following functions as individual assignments or as part of a team:
- Analysis of user requirements and development of relevant analytical models, Test and validation of ML and AI models Data preparation and blending, Data analysis, Data visualizations and reporting.
- Deploy and support data analytics solutions with a focus on performance and security.
About You and What You’ll Bring
Coupled with your education and practical experience, you will demonstrate a pro-active approach with the ability to understand business needs and develop solutions to achieve company objectives.
- Substantial experience working in a similar role within an engineering or project environment,
- Demonstrated ability to develop and implement solutions that satisfy complex needs for data mining, data analysis, model development and data visualisation.
- Expert knowledge of and implementation experience with a broad range of technologies, including: Data Analytics/ Data Science architectures, Modern Data Analytics/ Data Science tools for data analysis, visualisation and reporting, Data curation and data quality, Structured, unstructured and semi-structured data management.
- Strong analytical skills working with both structured and unstructured data.
- Strong hands-on development skills.
- Proven experience developing Machine Learning and Artificial Intelligence models.
- Be open to researching and creating new approaches.
- Knowledge and application of technical principles, theories and concepts in the field of Data Science.
Skills
- Essential skills include hands-on proven commercial experience with below (or equivalent): – SQL Server technologies, Programming/ scripting in R, Python, Java, Bash, Spark, Hive, TensorFlow Git, Bitbucket Power BI technologies,
- Highly desirable skills: familiarity with Solr Elasticsearch/ Elastic Stack, A broad range of data technologies, such as Postgres, Azure, Hadoop, Cloudera Artificial Intelligence (AI) / Machine Learning (ML) Large Language Models APIs, Qualitative analysis.
Due to the nature of work we do for our customers, all applicants need to hold an existing NV-1 security clearance and be capable of upgrading to a NV-2 security clearance if required.
What You’ll Love
At Leidos we look after our staff. Flexible working practices, great team building initiatives, consistent learning and development opportunities, employee discounts and excellent exposure to a variety of technologies and projects are just some of the perks. We are growing and evolving, so it’s an exciting place to be.
Our diverse employees support vital missions for government and commercial customers. Qualified women, minorities, individuals with disabilities and protected veterans are encouraged to apply. Leidos is an Equal Opportunity Employer.
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