Data Scientist
Full Time
CBH Group
The CBH Group is proud to be Australia’s largest co-operative and a leader in the Australian grain industry, with operations which extend along the value chain and include grain storage, handling, transport, marketing, and processing. Our expansive network includes over 120 country receival sites and four grain export ports. With our unique end-to-end supply chain, we deliver quality Australian products to over 30 international destinations.
Become part of a dynamic, diverse organisation and make your mark in sustainably creating and returning value for our growers.
Empowering our people
CBH is more than just a place of work, it’s a community and a place where hard work and effort is rewarded and recognised.
We are an equal opportunity employer, committed to providing a safe and rewarding working environment for our people, with a strong culture of developing and enhancing our employees’ capabilities. We are pleased to be recognised as an endorsed employer for all women by WORK180.
We invite you to become part of a dynamic, diverse organisation with a bright future.
About the role
If you thrive off a fast-paced environment and you need a new challenge then read on!
We currently have a fantastic opportunity to join our Network Planning team, within our Operations Division on a full-time, permanent basis as a Data Scientist.
This role responsible for contributing to the Analysis and Modelling portfolio in the Network Planning team, developing and implementing decision support tools to be used across Operations.
Reporting to the Principal – Analytics & Modelling and working closely with operational personnel in head office and regional areas, the key deliverables for the role are:
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Contribute to the continuous improvement of data quality and methodologies for key operational metrics (KPIs) which measure supply performance;
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Contribute to furthering knowledge about data driven insights, advanced analytics and potential value adding projects across the Operations department;
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Work with internal stakeholders to develop solutions based on complex and challenging ideas/problems;
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Develop algorithmic models to provide analytical decision-making tools;
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Improve the data sourcing and automation of internal and external data sets using ETL principles; and
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Utilise and continually develop best practice principles in data analytics.
What you will bring to the role:
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Relevant tertiary degree in computer science, data science, data analytics, environmental science, agricultural science, or associated discipline;
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Minimum of 2 year’s experience in a quantitative and/or data analytical role;
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Strong experience with quantitative modelling;
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Strong Python programming experience;
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Experience with a Python based web app framework (Flask, Django, Dash etc.);
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Strong understanding of data ETL principles and data management including SQL/PostgreSQL;
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Experience with Azure DevOps; and
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Experience working with a Business Intelligence platform (Power BI/ Tableau etc.).
What we offer
CBH offers competitive remuneration and a range of benefits to encourage a healthy work life balance, including:
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Flexible working arrangement to enable team members to work in ways that meet their work/life commitments and support their wellbeing;
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Ongoing training and professional development to support your growth and help you achieve your goals;
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13-weeks paid parental leave that can be taken in a flexible way to suit unique family needs;
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Corporate employee discounts including travel, health insurance funds and financial services;
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Salary sacrifice scheme;
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Onsite gym facilities; and
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Employee assistance program.
We’d love to hear from you
If this opportunity sounds exciting and you meet the requirements, we encourage you to submit your application.
Applications close 5th June 2023. We reserve the right to close this vacancy earlier than the advertised closing date if sufficient applications are received prior.
To find out more about working with CBH visit cbh.com.au or to speak to a member of our People and Culture team, please contact us on (08) 9237 9600.
Tagged as: Data Scientist
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