Data Science Leadership Opportunity

5 days ago

Sydney, New South Wales, Australia Neilson Financial Services Full time
Senior Data Scientist Role Overview

We are seeking a seasoned Senior Data Scientist to lead our innovative team in driving business impact through cutting-edge data science initiatives. This role offers the opportunity to leverage your expertise in machine learning, time series forecasting, and large language models to drive significant business value.

Key Responsibilities:
  • Design, develop, and implement data science models that drive business insights and optimize performance.
  • Collaborate with cross-functional teams to translate business needs into actionable data science solutions.
  • Develop production-level code using Python, ensuring scalability and integration with cloud platforms such as AWS, GCP, or Azure.
  • Utilize advanced techniques in machine learning, deep learning, and causal inference to drive business outcomes.
Requirements:
  • Significant experience in data science or analytical roles, with a track record of achievement in data science, analysis, applied statistics, or machine learning.
  • Advanced technical skills, including expert-level knowledge of machine learning algorithms, model development, and deployment, with proficiency in at least one programming language (e.g., Python) and one database querying language (e.g., SQL).
  • Strong business acumen, with the ability to align technical solutions with business strategy and communicate complex findings to senior stakeholders.
  • An academic background in statistics, mathematics, computer science, actuarial studies, or a similar field is required.
Benefits and Salary:

Our company offers a competitive salary range of $120,000 - $180,000 per year, depending on experience, as well as a collaborative culture and opportunities for professional growth and development in a leadership role.

The successful candidate will have the opportunity to work in a dynamic and innovative team driving real business impact, with a focus on leveraging data science to drive business outcomes.

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