Senior Data Scientist

at  Cognizant

Cognizant is looking for a collaborative team of data scientists, data analysts, simulation specialists, and engineers to analyse the end-to-end value chain of our client’s assets. We’re seeking a Data Scientist (Computer Vision) for a full-time position in Perth, and the role comes with an attractive salary and benefits package.
As a Data Scientist, you will be part of a global team identifying and delivering performance improvement projects through the application of cutting-edge analytics, operational and engineering expertise. You will join the Value Analytics team, working collaboratively alongside other value engineering specialists, simulation and data analytics professionals, and operations and business subject matter experts to address client’s biggest and most complex challenges.

In your first few weeks in this Data Scientist role, you can expect to:

• Identify business and performance improvement opportunities across the value chain
• Work closely with stakeholders to ensure that the relevant business problems are properly defined
• Investigate complex problems using a structured problem-solving approach
• Write code and conduct analysis utilising a range of technologies and techniques
• Enable performance improvement by producing actionable insight from data.

To apply for this Data Scientist (Computer Vision) role, your soft skills, expertise and experience should include:

• Building and using pipelines and automations in AWS; understanding the different AWS services and how to use them
• ML engineering and Ops; deploying and monitoring solutions, working with Docker and Docker compose, CI/CD pipelines
• Understanding basic to intermediate statistics; evaluating and analysing datasets, presenting results
• SQL and noSQL database usage experience; gathering data, building datasets to train and test models
• Understanding different architectures and use cases, common pitfalls and benefits of different methodologies
• Proven experience in building deep learning models for computer vision.

In return for your dedication, collaboration and commitment, you’ll receive a generous salary and benefits package, joining a welcoming and inclusive culture. At Cognizant, taking care of employees is a priority:

• You can pursue innovative career tracks and opportunities here
• You can enhance your professional development through education and dedicated training
• We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

To apply for this full-time Data Scientist (Computer Vision) job in Perth, please contact Cognizant today. Please refer any friends or colleagues for this role or direct them to our Careers page on our website.
At Cognizant, we engineer modern businesses to improve everyday life because we’re dedicated to making a lasting impact. Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant

In your first few weeks in this Data Scientist role, you can expect to:

• Identify business and performance improvement opportunities across the value chain
• Work closely with stakeholders to ensure that the relevant business problems are properly defined
• Investigate complex problems using a structured problem-solving approach
• Write code and conduct analysis utilising a range of technologies and techniques
• Enable performance improvement by producing actionable insight from data

To apply for this Data Scientist (Computer Vision) role, your soft skills, expertise and experience should include:

• Building and using pipelines and automations in AWS; understanding the different AWS services and how to use them
• ML engineering and Ops; deploying and monitoring solutions, working with Docker and Docker compose, CI/CD pipelines
• Understanding basic to intermediate statistics; evaluating and analysing datasets, presenting results
• SQL and noSQL database usage experience; gathering data, building datasets to train and test models
• Understanding different architectures and use cases, common pitfalls and benefits of different methodologies
• Proven experience in building deep learning models for computer vision