Abbvie3 jobs

Data Scientist

Mid levelFull-timeHybridSydney NSW, AustraliaProfessional servicesDataInformation technologyPosted 2 hours ago
View your fit0 of 9 criteria met

About the job

The Data Scientist position at AbbVie is an exciting opportunity to lead the development of advanced data analysis and tools that optimise organisational initiatives. This job plays a crucial role in driving innovative data solutions and supporting data-driven decision-making, ultimately impacting the lives of many. The team thrives on collaboration, creativity, and a shared commitment to excellence.

You'll be responsible for

🚀

Leading data analysis

Driving the development, co-creation, and implementation of advanced data analysis and tools to optimise organisational initiatives.
💡

Developing innovative solutions

Leading the design and development of innovative business technology solutions by applying modern machine learning intelligence and data analysis technologies.
🗣️

Communicating insights

Communicating technical information clearly to stakeholders at local, regional, and global teams.

Skills you'll need

📊

Data analysis

Ability to model and analyse internal and external data sources, ensuring accuracy and reliability while developing comprehensive solutions.
🤖

Machine learning

Expertise in conducting exploratory data analysis, machine learning, and probabilistic modelling to develop predictive analytics and optimisation solutions.
📈

Data visualisation

Skill in utilising and building data visualisation solutions that effectively communicate insights through visual means.
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Meet the team

About the company

View your fit

0 of 5 criteria met
5+ years of data science experience
Proven experience managing structured and unstructured data.

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Proficiency in SQL, Python, and R
Demonstrated expertise in data analysis and statistical modeling.

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Experience with data visualization tools
Familiarity with Tableau or Power BI for effective insights.

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Strong collaboration skills
Ability to work with cross-functional teams effectively.

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Analytical and problem-solving abilities
Keen eye for detail in data-driven decision making.

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