Airtasker is a fast-growing online and mobile marketplace for local services and temporary labour. We are revolutionising the way people and businesses get more done by connecting real time labour requirements with one of the world's most under-utilised assets - people power.
Airtasker has big ambitions and recently raised $33M worth of funding as we go international, with UK being the first country to plant our flag! We are building a talented team with opportunities to make a real impact in a hyper-growth and solutions-oriented start-up workplace.
We are looking for someone to join our data team to support our infrastructure and analytics, and to build machine learning solutions for some of our toughest problems.
You will be responsible for:Developing machine learning and data based solutions with the senior data scientist and engineers.Design and develop effective machine learning models and new features.Scoping new data science opportunities through an experimental or conceptual framework.Mentor others on data science techniques and best practices.Operating and extending the data infrastructure platform to deliver production-grade data curation and analysis servicesIdentifying, ingesting, and enriching a wide range of structured and unstructured data into datasets for analysis
Key attributes we are looking for:Minimum of 3-5 years commercial data science or analytics experience.Experience in one or more of the following areas: machine learning, data mining, statistical modeling or optimization.Demonstrated ability to rapidly generate solutions using relevant techniques.Bachelor's Degree in a quantitative subject area (eg. Statistics, Actuarial, Data Science, Mathematics, Computer Science, Physics, Astrophysics).Experience in extracting business value from predictive models.Comfortable dealing with large, unstructured and real time data. From prototyping to business impact.Work in an Agile manner, iterating through MVP to highly-evolved concepts.Excellent English communication skills.Comfortable with SQL.