Lead Data Scientist

2 days ago

Greater Sydney Area, Australia Talent Insights Group Full time $120,000 - $180,000 per year

This is a unique Lead Data Scientist opening with a market leader in the e-commerce industry You'll join a collaborative broader data & analytics team of ~15, and will primarily be hands-on leading data science and AI work. You will also play a role in mentoring and as the team grows, lead a small data science squad.

What is unique/attractive about this role?

  • Join as the Lead Data Scientist and help build out best practices, key data science & AI solutions, define business questions and use cases and ultimately work end-to-end
  • Extremely supportive manager, a collaborative and friendly team including peers in; MLE, data analysts, analytics engineers and data engineers
  • Strong business impact – work across the entire business, covering Product, Engineering, Customer, Marketing
  • Global scale, but fast moving and still with a big runway for growth The company has hundreds of employees globally, with Sydney as the HQ and their customer count is expanding across the globe This means your work has significant impact on customer outcomes and the bottom-line
  • Hybrid work - 3 days per week in the Sydney HQ, with generous personal and parental leave

What tools and data stack is in place?

  • Modern ML / Data environment including: Python, SQL, GCP, BigQuery, VertexAI and more
  • Preference includes prior experience in GCP data & ML tools, but we can consider strong candidates with equivalent experience such as using Databricks or Sagemaker for production ML
  • You will also be involved in Generative AI solutions, so we are keen to find someone who has been involved in various GenAI / LLM / agentic solutions

What experience and skills are mandatory?

  • As a Lead Data Scientist (or Principal Data Scientist or Data Science Team Lead), you will have over 7 years of professional data science & ML experience, with recent years as the technical lead on end-to-end machine learning projects.
  • Ideally you will have 2-3 years mentoring and leading small data science teams and (projects ranging from 1-5 people)
  • Strong Python, SQL, Statistics, Predictive Modelling and MLOps skills - including involvement with productionising solutions, setting up measurement and monitoring
  • End-to-end data science experience – from translating questions & problems into experiments and POCs, through to deployment
  • Strong communication skills with both data peers and business stakeholders
  • Academic background in a field such as; Maths, Stats, Computer Science, Actuarial Studies, Astrophysics, ML or AI

What kind of personality or culture fit would suit?

  • You are motivated by doing data science, ML and AI that directly leads to actions, impact and better outcomes for customers and the business
  • Self-driven and passionate about your field (Not afraid of moving fast, working hard and taking ownership)
  • You have seen good, bad and ugly data science practices and environments before and would love to be a key part of establishing best practices in a growing data science function
  • While your focus is on machine learning and data science, you are keen to work with different stakeholders, understand broader business challenges and contribute ideas, solutions and strategic innovation

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