Associate Data Scientist

North Sydney, Australia

Nine

Nine for Brands - This is the home of Australia’s most trusted and loved brands spanning News, Sport, Lifestyle and Entertainment.

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Company Description

Nine is Australia’s largest locally owned media company – the home of Australia’s most trusted and loved brands spanning News, Sport, Lifestyle, and Entertainment. We pride ourselves on creating the best content, accessed by consumers when and how they want – across Publishing, Broadcasting and Digital.

Nine’s assets include the 9Network, major mastheads such as The Sydney Morning Herald, The Age and The Australian Financial Review, radio stations 2GB, 3AW, 4BC and 6PR, digital properties such as nine.com.au, 9Now, 9Honey, Pedestrian.TV, Drive, subscription video platform Stan and a majority investment in Domain Group.

Our Purpose: We shape culture by sparking conversations, challenging perspectives, and entertaining our communities.

We bring people together by celebrating the big occasions and connecting the everyday moments. Australia belongs here. We bring our purpose to life via three shared values: We walk the talk, turn over every stone and keep it human.

Job Description

The 9Predict data science team develops, builds and delivers data science products to provide audience forecasting and solutions to business problems. Key responsibilities include gathering and analyzing data, developing and implementing data science models, and communicating findings to stakeholders. We push the envelope in what is possible and work on new and novel implementations of data science techniques.

Major area of focus for the team is forecasting audiences across all of Nine’s assets (Metro TV, Regional TV, 9NOW and other channels) to more effectively monetise & yield manage commercial ad inventory.

Role Responsibilities:

  • Analyse large and complex data sets to uncover insights and trends.
  • Develop predictive models and algorithms.
  • Collaborate with other data scientists and analysts to design and implement innovative solutions that support business objectives.
  • Implement and maintain data pipelines and workflows.
  • Conduct data cleaning, transformation, and validation.
  • Create and present clear and concise reports, visualisations, and dashboards to communicate findings and recommendations to stakeholders.
  • Use data visualisation tools to effectively convey complex data insights to non-technical audiences.

Employee Responsibilities:

  • Stay updated with the latest industry trends, technologies, and best practices in data science and media analytics.
  • Participate in training and professional development opportunities to enhance skills and knowledge.
  • Contribute to a positive and collaborative team culture.
  • Share knowledge and insights with team members.
  • Ensure compliance with data privacy regulations and ethical guidelines in all data-related activities. 

Qualifications

Essential qualifications, experience & skills

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
  • Graduate role or ideally 1 year of experience in data science or analytics roles desirable
  • Proficiency in Python and SQL.
  • Experience with machine learning frameworks and libraries (e.g., PyTorch, scikit-learn, pandas, Gorgonia).
  • Experience with working on time series.
  • Experience with version control software like git or mercurial.
  • Experience with data visualisation tools such as Looker, Tableau or similar
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets.
  • Excellent communication skills, with the ability to present findings to technical and non-technical audiences.

Desirable qualifications, experience & skills

  • Master's degree in Data Science, Statistics, or a related field.
  • Familiarity with big data technologies such as Big Query or Spark.
  • Experience with more than one programming language.
  • Understanding of media industry metrics and analytics.
  • Experience in A/B testing and experimental design.
  • Experience in Google Cloud Platform.
  • Experience in Kubernetes, Airflow, Spark, MLFlow etc
     

 

Additional Information

Our Commitment to Diversity and Inclusion:

At Nine, we are committed to fostering a workforce that embraces all aspects of diversity and inclusion and where practices are equitable to ensure our people experience a sense of belonging. From day one, you'll be encouraged to bring your whole self to work and will be supported to perform at your best. Should you require any adjustments to the recruitment process in order to equitably participate, we encourage you to advise us at the time of application.

We encourage applications from Aboriginal and Torres Strait Islander people, people with disabilities, and of all ages, nationalities, backgrounds and cultures.

Disclaimer: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.

Work rights: Please note to apply for this role you must already have the right to lawfully work and live in Australia.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  2  0  0
Category: Data Science Jobs

Tags: A/B testing Airflow Big Data BigQuery Computer Science Data pipelines GCP Git Google Cloud Kubernetes Looker Machine Learning MLFlow Pandas Pipelines Privacy Python PyTorch Scikit-learn Spark SQL Statistics Tableau Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: Australia

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