Head of Data Decision Science - Sydney Office - Permanent Full Time
A great opportunity for a Head of Data Decision Science, you will work very closely with the senior managers and leaders of Domain Group in other teams like strategy, commercial, agent services, sales and marketing by playing a key part in driving insights that help make data driven decisions. Decisions could be analysing the market and contributing to the pricing optimisation, reward programs and retention predictions
Domain has an array of valuable data, and collectively these datasets tell a story around what our customers are doing, what they are likely to do in the future, and in turn what products or services may support their emerging needs.
You will be close to the customer, close to the data and central to product innovation, working on a number of green fields projects, many of which you will be empowered to define autonomously. A great example of a product we’ve conceived and later commercialized through our decision science capability is ‘Leadminer’, a product that predicts the likelihood and timeline for a property coming to market.
Who are you?
The ideal candidate will…
You can easily work in collaboration with other data analysts, data scientists, product managers and product analysts to understand data needs and translate these requirements into actionable data products / assets or simply drive deep analytics to be presented to the board;
Enable smarter business processes and implement analytics for meaningful insights;
You can develop and review code written in Python and SQL;
You’re at ease working with data, at the detail, and conceptually;
Present information using data visualisation techniques;
Communicate findings to all stakeholders within the business as well as the executive team;
Ability to multi-task with a focus on effective time management.
You have a passion for product and believe data is the key element to support innovation and success;
You are proactive, creative and entrepreneurial;
Attributes
Generating information and insights from datasets and identifying trends and patterns, finding answers to specific questions, Assessing quality of data.
Experience in applying advanced analytical and statistical methods in the commercial world.
Strong problem solving skills with an emphasis on product development.
Excellent communication and presentation skills
Good experience crunching and visualizing data using Tableau;
Fluent in SQL and Python.
Experience with any of the following will be highly regarded:
Familiarity with a range of predictive modelling and machine learning techniques (feature engineering, regression, classification, cross validation, bootstrapping, Bayesian techniques etc.)
Knowledge of AWS ecosystem including: S3, EC2, Sagemaker, EMR
Familiar with ETL principles, data pipelines and orchestration using Airflow, AWS Glue or DBT
Why join us?
We’re the right size business for you to make a real impact, with a workplace culture where you can be you. Perks of the role include:
Flexibility tailored to you - so if you’ve recently made a sea change, work adjusted hours or like the idea of hybrid working, it’ll be perfect;
First-rate parental leave and wellbeing policies;
Access to Perkbox, giving you discounts across healthcare, entertainment, food, utilities and more
Continuous opportunities to leap, learn and grow.
We don’t just talk, we do. Every day we solve property problems for Australians and beyond. We encourage our people to see the possibilities, and turn them into realities. That’s why we want you.
Who are we?
We shine a light on all things property. Our business aims to simplify the property journey for all involved; motivated by expertise and our exclusive data.
Changing the way people engage with property requires a team of diverse thinkers.
What’s next?
One of our talent partners will give your application a good look and give you a call if it’s a good match, so apply now!
Don’t meet every single requirement? We’re committed to building an inclusive, diverse and supportive workplace, so if you’re excited about this role but your past experience doesn’t align perfectly, we encourage you to send in your application. You may just be the perfect candidate for this opportunity or another within the Domain Group.
