Job Name: Data Scientist
Job Description:
"Data scientists use their knowledge of statistics, machine learning, and computer science to extract meaningful insights from data. They work in a variety of industries, including healthcare, finance, and technology, to help organizations make better decisions.
Responsibilities:
Collect, clean, and prepare data for analysis.
Develop and implement machine learning models to extract insights from data.
Communicate findings to stakeholders in a clear and concise manner.
Stay up-to-date on the latest research and best practices in data science."
Designation:
None
Name of Organization:
"WA Police Force
REA Group
Bigdatr
Coles Supermarkets, Coles Supermarkets Australia Pty
UNIVERSITY OF MELBOURNE"
Job Market In The Country:
Currently, the biggest opportunities lie with big companies and rich industries such as finance, although there are plenty of opportunities to make a difference at innovative startups. Data Scientists have the opportunity themselves to drive the future of the industry.
Salary and Benefits:
"$116,924
annually A hybrid and flexible approach to working - https://rea.to/hybrid-working
• Flexible parental leave offering for primary and secondary carers
• Programs to support mental, emotional, financial and physical health & wellbeing
• Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity.
• Hack Days so you can bring your big ideas to life
• Performance recognition programs because hard work should never go unnoticed"
Taxes and Financial Implications:
"Income thresholds Rate Tax payable on this income
$0 – $18,200 0% Nil
$18,201 – $45,000 19% 19c for each $1 over $18,200
$45,001 – $120,000 32.5% $5,092 plus 32.5c for each $1 over $45,000
$120,001 – $180,000 37% $29,467 plus 37c for each $1 over $120,000
$180,001 and over 45% $51,667 plus 45c for each $1 over $180,000"
Language Requirements:
English language tests and university English courses.
Eligibility Criteria
"Minimum of 8 years of relevant experience (Mandatory).
• Strong communication skills with the ability to drive client calls (Mandatory).
• Proficiency in Python (Required).
• Solid SQL skills (Required).
• Familiarity with Linux CLI.
• Experience with data warehousing is a plus (Optional).
• Cloud experience with major cloud providers, such as BigQuery, Redshift, or Synapse.
• Experience with ETL processing using both flat files and streaming data is preferable.
• Knowledge of sessionization, visitor, and customer data processing.
• CRM data management experience is optional but beneficial.
• Familiarity with modeling frameworks (dependent on public modeling frameworks) like K-d trees, Bayesian networks, similarity ML, or regression/error-based learning"