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Senior Data Scientist

Senior Data Scientist

AndromedaCity of Melbourne, Victoria, Australia
20 days ago
Job description

Andromeda South Melbourne, Victoria, Australia

Senior Data Scientist

Andromeda builds personalised robot companions. We are pioneering the future of human-robot interaction where no playbook exists. We have real customers, real end-users and have the runway to investigate and demonstrate technical breakthroughs.

What We’re Building

We’re creating a wellbeing insights platform. Our robots generate transcripts and perception data from resident interactions. The opportunity : turn this into insights that genuinely help aged care staff support their residents better. We need someone who has the judgment to hone in on what’s useful for customers and end-users, build it, and prove it’s valuable. This is data science work with direct impact on vulnerable people’s lives.

What You’ll Own

  • Work with care managers, psychologists, and Human Robot Interaction specialists to understand what questions matter.
  • Understand the extent and quality of data available.
  • Design experiments and build models across text, video and audio to provide actionable insights.
  • Ship insights that customers find genuinely valuable, measured by whether care managers actually use them to improve resident outcomes.
  • Build modularly so MVPs don’t become technical nightmares six months later.

The Working Reality

  • Ambiguity is constant : You need good judgment to deconflict contradictory requirements and align stakeholders.
  • Infrastructure evolves with you : Build queries, pipelines, and visualisation layer for your models.
  • Quick wins matter : Demonstrate value to customers relatively quickly.
  • You ship MVPs but understand tech debt and document trade‑offs.
  • Who Does Well Here

  • Can build production‑quality models but measures success by customer outcomes, not technical sophistication.
  • Full‑stack data scientist : self‑serve datasets, build models, test efficacy, explain, visualise output.
  • Translates between technical and non‑technical stakeholders naturally.
  • Has humility to defer to domain experts while confident to show data reveals.
  • Thrives in early‑stage chaos; ambiguous requirements energise rather than paralyse.
  • Ships MVPs and knows the difference between "good enough for now" and "painting yourself into a corner".
  • Doesn’t give up when the first approach doesn’t work.
  • Day‑to‑Day

  • Customer conversations and workshops in care homes.
  • Building models, designing experiments, analysing data.
  • Collaborating with psychologists, HRI specialists, and university research partners.
  • Communicating insights and shaping product direction.
  • You’ll Work With

  • Head of Machine Learning (manager).
  • Chief of Product and Chief Commercial Officer.
  • Internal specialists and customer success teams.
  • External partners such as universities.
  • Care managers and aged care staff.
  • Where This Goes

    In 12‑18 months, you’ll lead data science as the wellbeing platform scales. We’ll hire platform engineers and software engineers as needed. If you’re capable and inclined, you can flex into other roles. We’re a startup, but the primary path is building the data science function.

    Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Engineering, or related field.
  • 5+ years shipping data science products to real users.
  • Strong Python and modern software engineering practices.
  • Strong knowledge of SQL and ability to work with structured and unstructured data.
  • Demonstrated ability to navigate ambiguous, contradictory requirements and drive to valuable outcomes.
  • Excellent communication – can explain technical work to non‑technical stakeholders and facilitate alignment.
  • Melbourne-based, five days on‑site.
  • Valued Experience

  • Consulting background working with diverse customers and stakeholder landscapes.
  • Healthcare or aged care projects.
  • Full‑stack development capability.
  • Experience with personally identifiable information and ethical data governance.
  • Building 0‑to‑1 products where you helped define what "valuable" meant alongside customers.
  • #J-18808-Ljbffr

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    Senior Data Scientist • City of Melbourne, Victoria, Australia

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