Only candidates with rights to work and live in Australia will be considered for the role.

This is an entry level position.

About Us

We’re Sparro by Brainlabs & Jack Nimble — an agency pair of 120 digital marketers, data scientists, producers and creatives.

Through 11 years of success and growth, we are Australia’s largest indie digital agency and as of 2024 have embarked on our next big step - through acquisition by Global indie digital agency, Brainlabs.

Our mission has always been to create Australia’s most impactful agency with a people first approach to how we operate and show up for our employees and clients alike. We know that mission will continue on as part of the Brainlabs family and we are so excited to make an impact on the global stage with global client and product opportunities.

We mean it when we say we put our people first - we’re a certified Great Place to Work, B&T's 2022 People & Culture Award winner!

It is an exciting time to join our team. If you are looking to do the best work of your career, on a global scale, check out our positions at Sparro by Brainlabs.

Position Description

The Data Scientist will work within the data team at Sparro to support the development of attribution models to measure the incremental impact of digital above the line activities, and cutting edge machine learning models to aid in decision making for our largest clients.

Objectives

Utilise best-in-class data solutions to drive client and business success. Build, support, and adopt productisation of advanced data project offerings and processes within Sparro.

Responsibilities

• Research, develop and run machine learning models as part of clients’ data project offering
• Manage, manipulate and automate production of complex data sets in a true big data environment leveraging skills in Google BigQuery, R, Python and SQL
• Drive client and business success through implementation of appropriate machine learning-led models and effective management of data science projects
• Keeping abreast of latest developments of data science models within the industry
• Creating and maintaining documentation and use cases for data solutions
• Communicating with internal and external teams, give support in the whole execution process
• Have an understanding of digital marketing strategy and concepts (this is a plus!)
• Promote the Sparro values and culture

Skills

• 1 year of experience in data science roles, or Bachelor's degree or higher in Statistics, Mathematics, Computer Science, Engineering or Science discipline
• Proficiency in Python and R, knowledge of Google BigQuery is a plus
• Exposure or knowledge of a range of Machine Learning, Data Science or Statistical Modelling techniques - such as Predictive Modelling, Linear/Logistic Regression, Attribution Modelling, Causal Impact Analysis, Customer Segmentation, etc.
• Strong attention to detail, thrives in a dynamic and fast-paced environment.
• Strong communication skills and the ability to collaborate with multiple teams and stakeholders

The benefits of working at Sparro by Brainlabs & Jack Nimble

Supporting Families

Our comprehensive family plan leads the way in creating a shared, flexible and supported avenue for our people to raise their children. This plan includes multiple weeks of paid leave for all carers, flexible hours, adjustable ‘Ease-In’ and return to work plans.

Revenue Share

We grow together. In learning, experience and ideas. It’s the basis of our culture and the key to our success. We want to share that success. Each member of our team is eligible for a quarterly revenue share when Sparro meets or exceeds our revenue forecast for the quarter.

Workplace Flexibility

Everyone has personal preferences and commitments, we are dedicated to fostering flexibility in employment and working arrangements to achieve the optimum balance between work and life responsibilities for all employees.

And many more benefits!

We look forward to receiving your application via our online form, which you can access here:

https://sparro.com.au/digital-marketing-jobs/data-scientist-2/