Data Science Lead at Careers at Eucalyptus

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Advanced Analytics, AI Solutions, Statistical Analysis, Feature Engineering, Model Evaluation, Model Operationalisation, SQL, Python, Google Cloud, BigQuery, Vertex AI, dbt, Technical Leadership, Mentoring

Industry

Health and Human Services

Description

About Eucalyptus We’re on a mission to make good health last a lifetime. More than 1 billion people live with obesity worldwide, driving preventable chronic conditions. We’re here to build better long-term care. Euc is the company behind Juniper, one of the world’s largest weight-management programs combining GLP-1 medication with personalised nutrition, movement support, and clinician-led care from prescribers, nurses, health coaches, pharmacists, and dietitians. Our published clinical research shows that our combined clinical and behavioural approach helps patients lose significantly more weight during their treatment with Juniper by four times. Our Growth Story: 130% YoY revenue growth and a 90% reduction in cash burn, with $100M+ raised from investors including BOND, NewView, Blackbird and Airtree. Supported over 350k patients living with obesity across our 5 markets Received selective NICE endorsement to provide services to the NHS. Tailored our offering to thousand of patients in Germany and Japan About the role (What you’ll be doing) As the Data Science Lead at Eucalyptus, you’ll lead the development and application of advanced analytics, machine learning, and AI solutions to drive strategic, commercial, and clinical outcomes. You’ll partner closely with Product, Engineering and the broader Data team, to solve high-impact problems, operationalise models, and embed data processes as a core part of the product offering. In this role, you’ll balance technical leadership and hands-on delivery — setting the vision for how data science is applied while also contributing to complex projects, from sophisticated personalised health insights, to extensive patient context management. You’ll ensure the team’s work is impactful, reliable, and aligned with organisational priorities. Lead high-impact data science projects: Own the scoping, design, and delivery of models and data context management pipelines that inform highly personalised systems in the technology roadmap. Guide technical direction: Define the standards, methodologies, and best practices for data science at Eucalyptus, ensuring work is reproducible, explainable, and production-ready. Collaborate cross-functionally: Partner with stakeholders across the business to translate ambiguous problems into well-defined data science projects with measurable value. Ensure robust operationalisation: Work with Data Engineering and ML Ops to deploy models, monitor performance, and integrate outputs into products, platforms, and workflows. Mentor and develop the team: Grow the skills and capabilities of data scientists and analysts through coaching, feedback, and technical guidance. Stay current: Keep up with established industry practices and emerging methodologies to ensure the team’s work remains effective and relevant. About you (Who you are) You’re an experienced data science leader with a proven ability to deliver technically sound, commercially valuable solutions. You balance strategic thinking with hands-on technical work, and you’re skilled at influencing both technical and non-technical audiences. 7+ years of experience in data science, machine learning, or advanced analytics, with at least 2 years in a leadership role. Proven track record of delivering models and analytics that have driven measurable business or product outcomes. Strong technical foundation in statistical analysis, machine learning, feature engineering, and model evaluation, and context management for AI systems. Experience in production environments, working closely with Data Engineering and ML Ops to deploy and monitor models. Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders. Hands-on expertise in SQL, Python, and modern ML/analytics libraries; familiarity with cloud environments (preferably Google Cloud) and tools like BigQuery, Vertex AI, and dbt. Leadership experience in building, mentoring, and guiding high-performing data science teams. Passion for applying data and AI to deliver meaningful business and patient outcomes. Why join Eucalyptus? Euc is also behind a growing family of digital healthcare clinics (Pilot, Kin, Software, Compound) across men’s health and well-being, fertility, skincare, and preventative health. Here’s what makes joining Euc unique: What’s next - Our goal for the next three years is to support 1 million patients globally to live better for longer. We’re launching into new conditions, demographics, and geographies as we build a truly preventive healthcare ecosystem. Build something world-changing - We’re on the path to becoming the world’s largest international digital healthcare company. It will be challenging, fast-paced, and deeply rewarding. Make real impact - You will deliver work that directly shapes patient outcomes and scales evidence-based care across markets. Accelerate your growth - You will have high ownership, continuous feedback, and dedicated development support. Join a motivated team - You will collaborate with talented peers to solve complex clinical and operational problems at scale. What’s ahead in Australia? Grow with us globally - Get mentorship from leaders across Australia, the UK, Germany, and Japan, collaborate with teams in the Philippines and South Africa, and explore new markets or travel internationally. Recognised on Hatch’s Hotlist as one of Australia’s top employers, we support early-career professionals to become future global leaders. Shape your career - Access learning budgets, conferences, certifications, peer shadowing, and a global knowledge-sharing culture. Be an owner - Equity for everyone means you share in our success. Work where well-being matters - Experience catered wellness talks, exercise classes, whoops to track your wellbeing, free barista coffees, funded social clubs, and quarterly rooftop parties. Innovate with purpose - Use state-of-the-art tools and contribute to bold, impactful solutions in healthcare. Support at every stage - Benefit from parental and miscarriage leave, to health, professional development, and personal days, Whoop membership, and our Employee Assistance Program. At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.

Responsibilities

The Data Science Lead will own the scoping, design, and delivery of models and data context management pipelines that inform highly personalized systems within the technology roadmap. This role involves guiding technical direction by defining standards and best practices for reproducible, explainable, and production-ready data science.