Company

Tafe NswSee more

addressAddressSydney, NSW
type Form of workFull time
salary Salary$119,757 - $132,188 a year
CategoryIT

Job description

TAFE NSW - Life Changing Careers

Product Data Scientist

Location negotiable within NSW (subject to TAFE NSW campus availability)
 
Full-time Permanent Position

Total Remuneration Package $149,366 (Package includes base salary $119,757 - $132,188 p.a plus employer’s contribution to superannuation and annual leave loading)

At TAFE NSW, we are dedicated to life-changing impact.

That’s why we offer world-class training and education that delivers the skills needed for the jobs of today and tomorrow.

Life-changing impact starts with an incredible team that sees their career as an opportunity to transform someone’s world. Whether that’s inspiring students, supporting each other, or helping our communities and industries flourish. 

We live by TAFE NSW values: Customer First, Integrity, Collaboration, and Excellence. They define who we are, how we work and inspire our performance.   

We invest in our people

At TAFE NSW, you will discover a diverse, dynamic, and collaborative environment, where you can innovate, create value, and do meaningful work.

We provide you with tools and ongoing training and professional development, health and wellbeing programs with a variety of flexible working options.

About the role

The Product Data Scientist is a pivotal role within TAFE NSW's Insights & Innovation unit. You'll be at the forefront of applying machine learning, artificial intelligence, and potentially even generative AI to revolutionize how we deliver education and training. This role plays a key role in extraction, analysis, processing and presentation of complex data, insights and actionable recommendations.

About You

We are seeking an enthusiastic data professional with strong data processing, data science, analytical, visualisation and troubleshooting abilities. You are technically skilled and are comfortable wrangling data from large and diverse sources, including cloud platforms, APIs, and databases. You have a strong foundation in machine learning (scikit-learn, TensorFlow, PyTorch) and statistical analysis to uncover hidden patterns and build impactful models. You finally transform complex data into compelling business narratives with recommendations.

You would be comfortable extracting insights from structured or unstructured data and would have the ability to present to a largely non-technical educators and decision makers. Understanding and addressing potential biases in models will be a part of your DNA. You are always working to improve your technical knowledge and expertise, to develop and support state-of-the-art data processing, machine learning and data visualisation pipelines in a dynamic environment.

This would also be a great position for someone interested in building upon their recently acquired Data Science skills and applying them in an industry setting.

To be successful in this role, you will have:

  • Degree qualification in related field or equivalent significant experience.
  • Strong problem-solving skills with an emphasis on real-world product development.
  • Knowledge of a variety of advanced statistical and machine learning techniques and their real-world advantages and disadvantages, and a drive to learn and master new technologies and techniques.
  • Experience using statistical computer languages (Python, R, Julia, etc.) to manipulate data and draw insights from large datasets.

Highly Regarded
1.    Experience with SQL and relational databases
2.    Experience in deploying Data Science pipelines using Microsoft Azure Cloud Services 
3.    Experience with Power BI and or Tableau 

To find out more about the role, click to view the Position Description.

Our commitment to Diversity, Equality, and Inclusion

We are committed to creating a culturally safe and accessible workplace where dignity, trust, respect, and the promotion of diversity and inclusion are valued, so you can safely bring your whole self to work and connect with your community through our many diverse employee networks.

If you require an adjustment in the recruitment process, please contact our Talent Acquisition Advisor listed below.

A career of life-changing impact awaits you. Apply now!

Applications close: Thursday 2nd May 2024 at 11.55pm

To apply for this role, click on 'apply now' and provide:

  • Your current resume (PDF)
  • Response to the targeted question below when prompted within the application process (max 300 words).

Targeted Question:

Describe a time you worked with a dataset that contained potential biases based on certain factors (e.g., gender, age, location). How did you approach this situation? Explain your thought process for ensuring fair and ethical analysis while still extracting valuable insights to inform decision-making. How (if at all) did you communicate your handling of biases to the stakeholders?

General recruitment and adjustment enquiries: contact Talent Acquisition Advisor, Ashar Siddiqui via email ***************@tafensw.edu.au or call 02 7921 2***.

Role-specific enquiries: Contact Manager Business Analysis, Mridul Dewan via email ************@tafensw.edu.au or call 02 7920 8***.

For helpful insights into preparing your application, TAFE NSW’s recruitment process, and getting interview ready, read through our Application Process and the interactive Capability Application Tool.  

This is a child-related position. A Working with Children Check is a prerequisite for anyone in child-related work. It involves a national criminal history check and review of findings of workplace misconduct. 

For ongoing positions in the NSW Public Sector, you need to be an Australian Citizen or Permanent Resident or a NZ Citizen with a current NZ passport.

An eligibility list, valid for 18 months, may be created for this position, and position(s) of the same classification that subsequently becomes vacant, may be filled via this eligibility list. 

Location is negotiable across our TAFE NSW campuses. Please note your preferred campus location is not guaranteed and is subject to campus availability at the time of offer. 

Refer code: 2088647. Tafe Nsw - The previous day - 2024-04-20 01:43

Tafe Nsw

Sydney, NSW
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