Data Scientist

Details of the offer

About Our Client The client is a retail giant in Australia who provides fresh produce, general merchandise, liquor, and fuel to millions of customers.
With over 2,200 locations nationwide and over 100,000 employees, they have a reputation for excellence in their industry.
The team culture is fantastic with a customer-driven approach and a focus on goals and values.
They are looking for someone in this role who can hit the ground running and add value to their highly motivated team.
Job Description Advanced Analytics: Develop and implement AI, machine learning, and optimization techniques to solve business challenges and uncover opportunities.Insights Delivery: Translate complex data into actionable insights and recommendations for stakeholders, showcasing the value of data-driven decisions.Stakeholder Collaboration: Build trusted relationships with leadership teams to enhance understanding and application of data science solutions.Project Execution: Participate in project delivery, ensuring alignment with best practices and strategic goals.Strategy Contribution: Support the development and implementation of the team's data and analytics strategy and roadmap.The Successful Applicant You are a highly skilled Data Scientist with a proven track record in advanced analytics, AI, or econometrics.
You thrive in a dynamic environment and have the ability to translate complex data into actionable insights.
With expertise in tools like Python, R, SQL, and Spark, you can deliver innovative solutions while collaborating effectively with stakeholders.
Your strong business acumen, problem-solving skills, and a Bachelor's or Master's degree in a relevant field make you well-equipped to drive data-driven strategies and impactful outcomes.
You're proactive, adaptable, and passionate about leveraging analytics to create value.
What's on Offer Attractive daily rateHybrid flexible working arrangementsOn-site cafeFitness club facilities #J-18808-Ljbffr


Nominal Salary: To be agreed

Source: Talent_Dynamic-Ppc

Job Function:

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