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Data Scientist

2 months ago

Sydney, New South Wales, Australia Zip Full time
Unlock Your Potential as a Data Scientist at Zip

At Zip, we're on a mission to revolutionize the way people shop and pay. As a Data Scientist, you'll play a critical role in helping us achieve this vision by leveraging your expertise in machine learning, statistical modeling, and data analysis to drive business growth and customer satisfaction.

Key Responsibilities:
  • Develop and deploy AI-powered chatbots to enhance customer experiences
  • Collaborate with cross-functional teams to optimize processes and improve operational efficiency
  • Analyze complex datasets to extract valuable insights and inform business decisions
  • Design and implement data-driven solutions using the latest technologies and techniques
What You'll Bring:
  • 2-5 years of experience as a Data Scientist or similar role
  • Strong proficiency in programming languages such as Python, with experience in data manipulation and analysis libraries
  • Solid understanding of statistical concepts and machine learning techniques, with hands-on experience in model development and evaluation
  • Experience working with large datasets and proficiency in querying languages such as SQL
  • Strong communication and collaboration skills, with the ability to effectively convey complex ideas to both technical and non-technical audiences
What You'll Get:
  • A dynamic and supportive team environment
  • Opportunities for professional growth and development
  • A comprehensive benefits package, including 25 days of paid leave, 16 weeks of paid parental leave, and mental health and wellness initiatives
  • Access to the latest technologies and tools, with a focus on innovation and experimentation

We're committed to creating a workplace that reflects the diversity of our customers and provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique. If you're passionate about data science and want to be part of a team that's changing the game, we'd love to hear from you.