Data Scientist

  • Full Time
  • Melbourne
  • Applications have closed.

Website DNA Talent

As a Data Scientist, you’ll be working with all areas of the business in a culture that’s all
about empowerment and ownership. You’ll be working to improve our data, reporting and
insights capabilities, to enable us to both better understand our existing customers and also
in order to make better informed decisions for future customers.

You’ll also need to be able to adapt and take on new challenges that you might ordinarily consider outside of your area of expertise. If you’re driven to succeed, have a desire to provide exceptional service and want to work for a company you’d be proud to tell your friends about; this is the perfect opportunity for you.

Responsibilities
You will be expected to:
● Develop and maintain advanced analytics in Quick Sight and other tools;
● Combine thought leadership, computational methods and statistical techniques to
solve business problems;
● Allow the team to make better decisions with data and personalise the experience
and interactions our customers have with us;
● Support Operations in identifying weaknesses in process and using data to provide
recommendations for improvements in the following areas: customer service,
operations, pricing and wholesale, finance and sales & marketing;
● Assist in the implementation of data and reporting for the measurement of success
against KPIs across the business;
● Maintain existing sources, datasets, reports and dashboards, and add/create new
sources, datasets, analyses and dashboards where needed;
● Collaborate and work cross-functionally;
● Understand business requirements, then build analytical models, in order to help
provide insights to the wider business;
● Communicate your recommendations and insights to drive decision making;
● Identify opportunities for and drive innovation through research and experimenting;
● Give the team the tools to self-serve where appropriate, and help business
stakeholders interpret data to enable them to derive meaningful, valuable insights;
● Mentor and advise team members on how to solve analytical, data and technical
challenges, and;
● Keep data secure and sensitive information managed as required, educating the
team as needed.
This role straddles the data science and data engineering disciplines and is an excellent
opportunity for a candidate who wishes to grow across both areas.

Basic qualifications and experience
You’ll have / be:
● A degree in Statistics, Mathematics, Data Science, Computer or software related
engineering, or other relevant experience;
● 5 years + experience in an analytics / data-driven / data science role, ideally working
within an Operations environment to optimise operations;
● Highly experienced and proficient working with with SQL;
● Deep experience working with data in CSV, JSON, Parquet, and XML formats;
● Experience working with data pipelines, lakes, and warehouses, using one or more
cloud providers;
● Experience working with one or more BI tool(s);
● A passion to help develop and share best practices with other members of the team;
● Strong technical, analytical and problem solving skills; and,
● Excellent written and verbal communication skills.

Preferred qualifications and experience
You’ll have / be:
● Experience writing efficient ETL and ELT code using Python and/or Scala;
● Experience with AWS services such as QuickSight, Athena, S3, Glue, and Lambda;
● Experience working with CI/CD tools and services for deploying code; and,
● Experience developing and applying tailored and effective predictive models and
machine learning algorithms.

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