Data Science Lead (Melbourne)
Help build Aginicâ€™s Data Science capability and produce impactful outcomes for clients. Our company: Welcome to Aginic, a place where some of the countryâ€™s brightest data analysts, engineers, agile coaches, designers, and cloud architects blend their technical skills with a desire to deliver impactful insights. Since July 2014, we have grown to a team of 80 people; and have become a trusted advisor in data analytics, cloud technology, adaptive delivery and design services for clients across a range of sectors.
And while we are headquartered in Brisbane, weâ€™ve been proud to expand our footprint across Australia to launch offices in Sydney, Melbourne and Darwin. Our people come from all walks of life, combining their positive, down to earth spirit to make Aginic a fun, energetic and supportive place to work. We value genuine collaboration, providing meaningful contributions at every moment, and generally just being awesome at what we do Every project we take on provides new challenges and learning opportunities for our people.
Here are a few important points to note: Our clients are awesome and the work we do has a big impact on a number of industries, particularly healthcare and education. We invest heavily in learning, research and development and have a ventures business that is currently designing and launching a range of exciting products. We have partnerships in place with some of the worldâ€™s leading technology providers including, Google Cloud, Microsoft, Qlik, Elastic, Snowflake and Thoughtspot.
We support our people to develop their skills through internal training, industry conferences, events and certifications. The purpose of this role: As Data Science lead you will head up Aginicâ€™s data science capability, providing leadership and guidance across a team of data analysts, data scientists, and data engineers. You will use analytical methods and business understanding to help clients better understand their business and make decisions by leveraging technology.
Position responsibilities: Collaborate with clients to grow an understanding of data science, and provide predictive and prescriptive analysis via data science methods Develop a deep understanding of data sources via exploration and client interaction. Provide expertise to data analysts and data scientists to help them understand data science and further their capability in its application. Work with our partners to understand their data science offerings and how it is applicable to our business, and how it can help our customers.
Engage with early clients in pre-sales discussions to help them better understand our offering and explore solutions to their business. Be a leader and a manager for your local squad, kick off our Data Science Chapter and be a point of contact for anyone across the business with an interest in data science. Assist in the design and deployment of end-to-end data stacks, having a baseline understanding of all components of....