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Senior Data Scientist

2 months ago

Saint Leonards, Victoria, Australia InDebted Full time
Job Title: Senior Data Scientist

We are seeking a highly skilled Senior Data Scientist to join our team at InDebted. As a key member of our data science team, you will play a vital role in developing and implementing machine learning models to drive business value and improve key success metrics.

Key Responsibilities:
  • Design and develop machine learning models to address complex business problems and improve operational efficiency.
  • Manage end-to-end data science project deployment, ensuring seamless integration with existing systems and software.
  • Leverage large datasets to explore, analyse, visualise, and interpret trends or patterns in complex data sets.
  • Monitor and maintain deployed models to ensure they continue to perform as expected.
  • Translate complex data science concepts into digestible insights to guide data-informed business decisions.
  • Orchestrate work across teams to complete cross-functional projects.
  • Proactively identify opportunities for, and drive, business value by leveraging state-of-the-art techniques in data science and machine learning.
  • Mentor and provide technical guidance to other less tenured data scientists and analysts.
Requirements:
  • Tech-savvy, results-oriented individual with a passion for data science and an appreciation of the commercial nature of the business.
  • Proven experience as a Data Scientist or similar role, particularly in driving business value and improving key success metrics with data science solutions.
  • Solid understanding and practical experience in leading end-to-end data science projects from conception to machine learning deployment and monitoring.
  • Proficiency in Python and SQL (AWS Athena).
  • Experience working with cloud-based data technologies and services (preferably AWS Athena, Lambda, S3, etc.).
  • Extensive experience with data sourcing, processing, and manipulation.
  • Strong communication skills, particularly in explaining complex ML problems and techniques to key stakeholders at all levels.
  • Strong problem-solving skills and the ability to think critically and commercially about the data.
Preferred Attributes:
  • Master's degree in Mathematics, Statistics, Data Science, Machine Learning, Computer Science or a related STEM field.
  • Familiarity with containerisation technologies and infrastructure as code tools such as AWS CDK and Terraform.
  • Familiarity with MLOps techniques and processes.
  • Knowledge of and experience with large language models and frameworks.
What We Offer:
  • Opportunity to work with a cutting-edge technology stack, including AWS Athena, Sagemaker, and S3.
  • Collaborative and dynamic work environment with a team of experienced data scientists and engineers.
  • Professional development opportunities, including training and mentorship programs.
  • Competitive salary and benefits package.