Data Scientist
Sydney
Applications have closed
Tiliter
Tiliter's Recognition API reduces loss and gives your shoppers a more convenient checkout experience.Founded in 2017, Tiliter is an exciting Australian technology start-up, working on cutting edge machine learning and computer vision technology.
We create leading computer vision products to solve everyday problems, with an unwavering focus on quality, accessibility and ease of use. We have a proven track record in the retail product identification space, with our solutions currently live at stores in Australia, the USA, Europe and West Asia. We are now broadening our offering to include identification and detection applications in additional industries. Are you interested in working on the latest in artificial intelligence and computer vision innovation, and make your mark by working on a global product? Working on our key hardware and software products, you will have the opportunity to make your mark on one of the most talked about technologies of today’s age and bring the promise of AI systems to the world.
With high growth potential, candidates have the opportunity for accelerated career progression and to become key early members of the Tiliter team.
About the Role:
At Tiliter, you will have the ability to make your mark on one of the most talked about technologies of today’s age and bring the promise of AI systems to the world. We’re growing quickly and we’re looking for a Data Scientist, this exciting new position to work across the business and collaborate with the wider teams. This role will see the Data Scientist responsible for delivering both deep insights into the day-to-day performance of Tiliter solutions and crafting innovative data modelling which guides improvements for both the AI and Software Teams.
Responsibilities
- Design the future of data in the business, what to collect, model and mine
- Uncover insights in our existing data to drive the real-world improvements in our solutions
- Develop, Implement, test, maintain and improve data & Analytic Systems for: functionality, reliability and scalability
- Leading investigation and exploratory data analysis and communicating insights both internally and to our customers
- Contribute to architectural and design choices relating to Data & Analytics, working closely with the broader Engineering Teams
- Interpret data, analyse results using various techniques and provide ongoing reports and data extracts
- Identify gaps and solutions that will address customer, team and business challenges
Qualifications & Experience
- Degree in Engineering, Computer Science, Mathematics or related field
- Preferably also a Postgraduate qualification in relevant specialisation
- 2+ years' experience across Data Science Data & Analytics pipelines.
- Experience with very large data sets, and Machine Learning related data
- Experience analysing data using Python and SQL
- Desirable: Experience working with a cloud technology stack (eg. AWS or GCP) to deliver innovative Data & Analytics solutions
- Experience developing, deploying, analytics pipelines
Benefits
- Our office space provides free coffee, filtered water on tap, beer and soft drinks as well as an amazing modern workspace
- Flexible work hours
- Valuable company equity
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Computer Vision Data analysis EDA Engineering GCP Machine Learning Mathematics Pipelines Python SQL
Perks/benefits: Career development Flex hours Startup environment
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