Data Scientist (Machine Learning)

Reporting to the Lead Applied Machine Learning Engineer you’ll be supporting machine learning initiatives that drive business profitability, increase efficiency and improve customer experience.This role requires Software Development skills. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Applied machine learning engineers are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific project, this role would need to be knowledgeable in one or more ML specializations, such as optimization, computer vision, recommendation, search or NLP.

What does a normal day in the life of a Applied ML Engineer at Catch look like?

Well… no two days at Catch are alike, but you could probably expect your typical day to include some of the following things:

• Design & develop models/solutions to use against large datasets to drive business profitability, increase efficiency and improve customer experience
• Make appropriate selection, utilization and interpretation of advanced analytical methodologies
• Participates in large data analytics initiatives to identify trends and provide business solutions
• Expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the proposed solutions
• Collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported
• Seek further knowledge on key developments within data science, technical skill sets, and additional data sources
• Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, internal library, project documentation, process flowcharts) to ensure solutions are leveraged for future projects
• Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

Requirements

• Experience in a modern scripting language (preferably Python)
• Proficient running queries against data (preferably with SQL)
• Proficient with data visualization software (preferably Tableau)
• Proficient utilizing statistical techniques to identify key insights that help solve business problems
• Knowledgeable in various ML area like optimization, computer vision, recommendation, search or NLP
• Strong communication that convey a clear understanding of the unique needs of different audiences
• Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
• Actively seeking new ways to grow and be challenged using both formal and informal development channels

Join our team of Catchies

There has never been a more exciting time to join the Catch Team!!

Our people are at the heart of everything we do, and will go above and beyond for our customers “To be the trusted place where Australians start their shopping journey”.

Working at Catch, you’ll experience:

• Flexibility comes in all shapes and sizes at Catch, and as part of our commitment to flexibility, we offer all team members the opportunity to take control over when, where and how work is accomplished depending on your role.
• To help our team members juggle the demands of work and life, our health and wellbeing program aims to encourage positive morale and help employees reduce stress through the promotion of work/ life balance.
• To enable our team members to give back to our communities, we offer a day’s paid volunteer leave
• My Catch Perks - up to 5% discount off selected retailers including Kmart, Target, Bunnings and Officeworks
• An organisation that is experiencing incredible growth
• Support and collaboration, not just with their immediate team, but with the broader organisation as well!
• Other unbelievable benefits and perks like free One Pass membership, study support, in house learning and development, parental leave programs, plus loads more...