Data Scientist (Hybrid Working)

Add expected salary to your profile for insights

SEEK’s portfolio of diverse businesses, which includes Jobstreet and Jobsdb in Asia, make a positive impact on a truly global scale. Our purpose is to help people live more fulfilling and productive working lives and help organisations succeed. We create world-class technology solutions to connect more people to relevant employment, education, small business and volunteer opportunities. We have a culture of high-performance in our workplaces and celebrate the diversity of our employees who contribute to the success of our organisation.

Life at SEEK

SEEK’s purpose is at the centre of everything we do. Our SEEK, which defines the way we work, is all about what makes us unique and a little bit different. Passion, Team, Delivery and Future are our principles that drive innovation and creativity. SEEK strives to support employee wellbeing by providing an amazing experience at work which led us to being named AFR BOSS Top 10 Best Place to Work 2023 In Tech (third year in a row). In Malaysia, where SEEK’s Asia HQ is located, we received four accolades at the TalentCorp Life at Work Awards 2023, including first runner-up for Best International Organisation and champion for Best CHRO. We are proud to work in an environment that's inclusive where everyone's unique ideas, experiences and perspectives are valued.

Company Description

About SEEK

SEEK’s portfolio of diverse businesses, which includes Jobstreet and Jobsdb in Asia, make a positive impact on a truly global scale. Our purpose is to help people live more fulfilling and productive working lives and help organisations succeed. We create world-class technology solutions to connect more people to relevant employment, education, small business and volunteer opportunities. We have a culture of high-performance in our workplaces and celebrate the diversity of our employees who contribute to the success of our organisation.

Job Description

The Role

The Data Scientist role is based in Melbourne Australia within the Artificial Intelligence Platform Services (AIPS) team. The team is structured into cross-disciplinary squads with members from Data Science, Strategy and Engineering who work together to research, design, build and support end-to-end machine learning based products delivering direct value to hirers and job seekers.

Successful performance in this role will be demonstrated through the business value contributed by developed and supported products. Further, the successful candidate will be expected to stay up to date with emerging techniques in Natural Language Processing (NLP) and machine learning, and be deeply involved in a culture of continual improvement.

This role will report to a Senior Data Scientist / Principal Data Scientist within AIPS. AIPS has a matrix structure where your direct line manager will act as a coach and technical mentor but your day-to-day activity will be determined by the squad priorities.

Key Responsibilities

• Forming clear data addressable problem statements from current business problems
• Gathering, validating and understanding data relevant to the problem statement
• Designing and building data transformation pipelines and machine learning algorithms to solve the business problem
• Working with product management and other business stakeholders to review and iterate data products to fit emerging market trends
• Evangelising appropriate ML methods and explaining them, and their associated benefits and limitations to team members from Engineering and Strategy.

Qualifications

Essential Qualifications, Skills and Experience

• Post graduate qualification in a quantitative field (e.g. Physics, Mathematics, Bioinformatics, Computer Science)
• Advanced data extraction and processing skills using SQL, Spark, etc
• Familiarity with S3, EC2 and/or EMR in AWS.
• Deep knowledge of machine learning algorithms and efficient data structures, ensembling and model performance tuning
• Experience with NLP
• Confident working at the command line in a *nix environment
• Able to write serviceable code (e.g. Scala, Go, Python, Ruby) and comfortable working with and around a professional software development teams
• Good communication and interpersonal skills with the ability to communicate with business key decision makers and product owners
• Ability to adapt quickly and thrive in an ambiguous and rapidly changing environment

Other Qualifications, Skills and Experience

• Experience with Deep Learning (particularly CNNs and RNNs)
• Track record in working independently within an agile team environment, scoping work, making and keeping commitments to deliver against a shared agenda
• Experience working with datasets which do not fit within memory on a single machine

Additional Information

The Team

The AIPS team is structured into small, cross-disciplinary, autonomous teams of 4-10 people who research, design, develop and support ML data driven products to support the business needs of one or more of SEEK’s 18 global business units.

Job Posting Tips:

• Hybrid working mode
• Permanent position
• Mature and collaborative working culture
• Extensive employee benefits

At SEEK, we are passionate about fostering a culture of inclusion and wellbeing that embraces and values the diversity of our people. We are a purpose driven business that works with heart.

We know teams with diverse ideas, experiences and perspectives are more creative and are critical to ensuring effective delivery and innovating to enable our future success. As such, we welcome applications from people with diverse backgrounds and life experiences, especially as they relate to gender, sexual identity, culture, faith, disability and life stages. If you have the skills, curiosity and an adaptable mindset but don't meet every responsibility or qualification listed in this advertisement, please still get in touch with us.

Should you require any specific support or adjustments throughout the recruitment process and beyond, please advise us and we will be happy to assist.

SEEK kindly requests no unsolicited resumes or approaches from recruitment agencies and will not be responsible for any associated fees.