About the Company:
Our client is a leading organization within the retail sector. They are looking for multiple Senior Data Scientists to join their Advanced Analytical Team.
About the role:
This is a 6-month contract with a potential extension.
The office is based in Hawthorn, Melbourne.
This role follows a hybrid work model.
Responsibilities:
- Conduct rigorous evaluation of models before coming into the defence process
- Challenge the status quo to achieve the best outcomes
- Be rigorous and trusted for quality, design and building clever solutions
- Research new Advanced Analytics opportunities in areas of predictive modelling, regression, machine learning, optimisation, deep learning, reinforcement learning, NLP etc to identify new opportunities for future solutions
- Serve as a trusted advisor by cultivating relationships with stakeholders and across various leadership teams
- Showcase, benchmark and quantify the value and outcomes of analytics-based decision making
Skills and experience:
- Have experience in analytical applications - R, Python, Scala, Hive, Spark, SQL, etc.
- Have experience with productivity applications - Git, Jira, Confluence
- A team player who enjoys working in a collaborative environment
- Experience working with key analytical techniques, e.g. regression, clustering, optimisation, machine learning, NLP, deep learning, reinforcement learning etc.
- Good presentation skills
- Analytics professional with a proven track record in Advanced Analytics / Data Science / Mathematics / Computer Science / Measurement Science and/or Econometrics
- Relevant Bachelor or Master's degree
- Data Scientist with a speciality in Optimisation or forecasting
Competencies:
- Cross-functional communication and team-player
- Stakeholder management and presentation skills
- Problem-solving and analytical approach
- Resilient and growth-mindset
What's in it for you:
- Career growth
- Work with a team of highly capable Senior Data Scientists
- Potential for contract extension
- Great brand name
- Supportive team and inclusive culture
For more information or a confidential discussion, please contact Rhea Paul on 0380807218 quoting reference #248407.
To apply please click the 'Apply Now' button.
