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Data Scientist
Оценка ИИОтличная позиция в стабильной публичной компании (ASX-listed) с сильной корпоративной культурой и фокусом на развитие сотрудников. Гибридный график и наличие программы участия в капитале (Employee Share Program) делают предложение очень привлекательным.
Сложность вакансии
Оценка ИИРоль требует уверенных знаний в классическом машинном обучении, A/B тестировании и SQL. Хотя позиция не помечена как Senior, работа в крупном маркетплейсе подразумевает умение работать с большими данными и сложными бизнес-метриками.
Анализ зарплаты
Оценка ИИЗарплаты Data Scientist в Сиднее обычно выше среднего по стране. Предлагаемая роль соответствует рыночному уровню для специалистов среднего звена в технологическом секторе Австралии.
Сопроводительное письмо
I am writing to express my interest in the Data Scientist position at hipages. With a strong background in classical machine learning and advanced proficiency in Python and SQL, I am excited about the opportunity to contribute to Australia’s #1 digital platform for tradies. My experience in designing and measuring A/B tests for SaaS products aligns perfectly with your goal of enhancing the product experience through data-driven experiments.
In my previous roles, I have successfully translated complex data into actionable business insights and recommendations for product enhancements. I am particularly drawn to hipages' collaborative culture and your focus on leveraging AI/ML to drive commercial growth. I am eager to bring my expertise in statistical modeling and data storytelling to your Data Analytics team and help shape the future of the marketplace.
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Описание вакансии
We’re hipages, Australia’s #1 digital platform connecting homeowners with trusted tradies. As an ASX-listed tech company, we're on a mission to transform the trade industry and improve lives.
With teams across Australia, New Zealand, the Philippines and Vietnam, we work as one team with a shared purpose.
We’re proud to be a certified Great Place to Work and WORK180’s #1 Employer for Women. At hipages, you’ll find real impact, career growth and a workplace where everyone belongs.
About the role:
As a Data Scientist, you’ll support hipages through data-driven insights and enable the business through both data capabilities and advanced application of data to business problems. You’ll design and deploy machine learning applications as well as leverage hipages’ data assets to discover insights and shape the product experience.
Why join our Data Analytics team?
- Hybrid working model: 50% work from home
- In-house Talent Development team to prioritise personal and career growth
- Competitive salary, benefits and everyday discounts, plus equity via our Employee Share Program
- Cross-functional collaboration
- Hands-on learning opportunities and workshops for continuous upskilling
You’ll add value by:
- Design, implement, launch and measure experiments to test new products and packages
- Analyse data, trends, and results, as well as translate into business impact for stakeholders and recommendations for product enhancements
- Analyse the acquisition funnel to uncover insights and opportunities that drive jobs and tradie growth
- Contribute to growing our user base by supporting segmentation strategies to build a customised consumer experience
- Identify new commercial opportunities for advanced analytics within the organisation, leveraging AI/ML to drive growth
- Identify commercial opportunities leveraging large and/or complex, internal and external data assets
About You:
- Qualifications in Data Science, Statistics, Actuarial Studies, or a related quantitative qualification or relevant experience
- Passionate about all things data, and the ability to digest complex data and storytelling
- Hands-on experience with A/B testing for SaaS products
- Experience in classical machine learning
- Experience working with enterprise data warehouses
- Advanced proficiency in Python and strong SQL skills
- Great communication skills with the ability to collaborate with cross-functional teams to drive strategic outcomes
Nice to have:
- Relevant experience in a marketplace or digital-native organisation
- Experience in forecasting and statistical modelling
- dbt (Data Build Tool) or data modeling experience
- Databricks or Snowflake experience
- Experience with Data Visualisation tools like Tableau
- Experience with Snowplow BDP or Google Analytics
- Experience with cloud technologies (AWS, GCP, Azure)
Life at hipages:
We’re more than just a workplace. We’re a place where you can be yourself, do great work and grow your career. Recognised as a Great Place to Work, our inclusive, supportive culture helps people thrive.
You’ll use the best tools and tech, with real impact on our products and customers. We invest in your development and lead with coaching, not micromanagement – it’s why 85% of our team say their leader is great.
And there’s more:
- Diverse, collaborative teams that love solving problems
- Agile squads, hackathons, off-sites and roadshows
- Extra leave for birthdays, volunteering, and more
- Healthy snacks, continental breakfast and fresh fruit
- Sydney CBD office near Town Hall and Gadigal Stations
- Tailored growth support, mentoring and stretch projects
- A vibrant social scene - we work hard and have fun doing it
We prioritise Diversity:
At hipages, innovation and collaboration thrive in diverse and inclusive teams. We don’t expect you to know everything - we care more about who you are as a person, a team member, and a leader.
We’re proud to be endorsed by WORK180 for supporting women’s careers and we value diversity across culture, age, gender identity and sexual orientation.
Research shows that men often apply when they meet just 60% of the criteria, while women and minority groups wait until they tick every box. If you think you’d be a great fit - even if you don’t meet every requirement- we’d love to hear from you.
We’re also a Circle Back Initiative Employer, which means we commit to responding to every applicant.
#LI-JL1 #LI-Hybrid
Создайте идеальное резюме с помощью ИИ-агента
Навыки
- Python
- SQL
- Machine Learning
- A/B Testing
- Data Warehousing
- dbt
- Databricks
- Snowflake
- Tableau
- AWS
- GCP
- Azure
- Statistical Modeling
- Forecasting
Возможные вопросы на собеседовании
Вакансия делает упор на проведение экспериментов для новых продуктов.
Расскажите о самом сложном A/B тесте, который вы проводили: какие метрики вы выбрали и как интерпретировали неоднозначные результаты?
Компания использует современные облачные хранилища и инструменты трансформации данных.
Каков ваш опыт работы с dbt и Snowflake/Databricks? Как вы обеспечиваете качество данных при построении моделей?
Роль предполагает поиск новых коммерческих возможностей с помощью ИИ.
Как бы вы подошли к задаче сегментации пользователей для персонализации клиентского опыта на маркетплейсе услуг?
Упоминается анализ воронки привлечения (acquisition funnel).
Какие методы машинного обучения вы бы применили для прогнозирования оттока (churn) или оценки пожизненной ценности клиента (LTV) в модели SaaS?
Soft skills важны для взаимодействия с кросс-функциональными командами.
Опишите случай, когда вам нужно было объяснить сложную техническую концепцию или результат модели стейкхолдеру, не связанному с данными.
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