Data Scientist - Optimal Reality - all levels Cons...

Job description

Date: 08-Oct-2021

Melbourne, VIC, AU

Data Scientist - Optimal Reality

About the team
Optimal Reality is Deloitte’s advanced Digital Twin platform. We help organisations in asset intensive industries to use data and digital technologies to visualise, understand, control and optimise their network based operations in real time. We want to improve the way Australia lives, works and moves.

Obsessed with speed, and grounded in Formula One thinking, we have a clear focus on finding new and better ways of ingesting and processing live data including to create smarter cities through digital twins of transport networks, new energy systems and across supply chains - building applications to help operational staff to improve their ability to collaborate, and make the best decisions to optimally control the network.

An amazing opportunity across all levels to make an impact that matters with high profile clients - be a part of one of the fastest growing teams.

Read more at:

What will your typical day look like?

The OR platform has been proven in mission critical operations, and we have a strong pipeline of demand. We are looking for people across all levels from Consultant, Senior Consultant, Manager, Senior Manager and Director level to join us to scale out our solution offering, and to bring new ideas and innovation to the platform.

Working with this team you will help us to find new ways of modelling networks simulating network behaviour in real time and using data science and ml; all delivered through lightweight, zero-install web-apps designed by some of the best UX/UI people in the business.

Enough about us, let’s talk about you.

You are someone with:
Comfortable with model development frameworks as code (e.g. tensorflow).
Experience of code management and management of data sets
Demonstrated experience of end to end model lifecycle either individually or as part of a team.
Familiarity with model operations frameworks (Sagemaker, MLFLow, Databricks) is preferred.
Experience developing supervised learning models, preferably NN architecture knowledge. Experience of working with computer vision will be looked on favourably.
Experience developing unsupervised learning models. Examples of quantified benefits need to be provided.
Demonstrated experience of data cleaning and manipulation.
Demonstrated experience developing mathematical optimisation algorithms is highly desired. Specific types are not required (gradient based, gradient free, genetic, LP are all ok). Problem formulation is key.
Some familiarity with working in an API based architecture is highly desired.
Strong technical skills such as SQL, Python and Cloud Services (AWS, GCP or Azure). Advanced expertise required for more senior roles.
Strong experience in Repository management (Git / Bitbucket / etc)
Experience in C/C++, Julia, NoSQL, GraphQL will be highly regarded

Education background:
Undergraduate in a data science or science degree is required with the following preferred.

Computer Science
Computational Science
Data Science

Why Deloitte?

At Deloitte, we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. Deloitte Australia opens the door to a career that can cross borders virtually and physically across Asia Pacific to gain experience and access projects beyond Australia’s borders. We value difference, and embrace people with diverse backgrounds, experiences, gender identities, abilities and thinking styles. Knowing that people work best in a variety of ways, we are happy to discuss alternative arrangements if the working pattern you are looking for is not specifically indicated.

We’re committed to continually building a safe and respectful workplace, where all our people feel appreciated and accepted. Through the creation of endorsed employee-led diversity networks which promote cultural, disability, LGBTI+, Aboriginal and Torres Strait Islander people and gender equality, we’re leading the way to shape an environment where everybody can thrive.

We are proud to have been recognised for our efforts in inspiring change and accelerating progress – check out our careers site for recent recognition in this space.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.