Data Scientist

Tertiary qualifications in data science, econometrics, statistics, mathematics, or related discipline with a numerical/quantitative focus OR equivalent experience.

2+ years industry experience working in Data Science, ML engineering, Data Analyst or similar roles

Expertise in statistical modelling and machine learning theory

Has strong Python programming skills and can independently write, read, debug and maintain code

Has hands-on experience using Python for data science or machine learning, including libraries such as pandas, NumPy and scikit-learn

Proficient in SQL and experience working with large or complex datasets.

Experience building and deploying models to production environments (CI, infrastructure as code, containerisation)

Strong Computer Science fundamentals in data structures, problem solving, algorithm design, and complexity analysis

Exposure to Git and Atlassian product suite (Jira, Confluence)

Team player capable of working collaboratively as well as individually

A structured approach to building, testing, and iterating on statistical models

Data handling skills, including cleaning, analysing, and interpreting large data sets, and an intuitive sense for identifying when the data is incorrect or inconsistent.

Excellent communication skills

Strong attention to detail.

The physical, mental, emotional and financial health of our people is something we’ll never stop caring about. This is a place to learn and grow.

Some of our Perks & Benefits (https://www.rea-group.com/about-us/news-and-insights/blog/how-we-help-our-people/) include:

A hybrid and flexible approach to working

Flexible leave options including, birthday leave and purchase additional leave

Flexible parental leave offering for primary and secondary carers

Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity

Hackdays so you can bring your big ideas to life

We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more effective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.

Keen to be part of REA but didn't find a perfect match with this opportunity? Perhaps the timing isn't right? You should join our Talent Neighbourhood! (https://rea.to/careers-talentneighbourhood)

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Req ID R0015139