We are looking for an experienced Data Scientist to join our team, working on-site from our Sydney office. In this role you will be a key member of our Data Science function, contributing directly to our goals and working closely with talented colleagues across the business.
This is a hands-on role with real ownership and impact. You will apply your skills in Python, Machine Learning and Pandas to solve interesting problems, ship work you can be proud of and help us raise the bar for what we do. You will collaborate with cross-functional teams, share your ideas openly and have the support you need to do your best work and grow along the way.
You will bring around 3 to 6 years of relevant experience and strong, practical knowledge of Python, Machine Learning and Pandas. Just as important are clear communication, sound judgement, attention to detail and the ability to collaborate effectively with people across different teams and backgrounds.
Within your first few months, you will get up to speed with our products, processes and people, build strong working relationships across the team, and begin taking ownership of your own work. Over time, you will have the opportunity to deepen your expertise, take on broader scope and grow your career with us as the company continues to scale.
In return, we offer a supportive, inclusive and collaborative environment, competitive pay, meaningful benefits and the chance to do work that genuinely matters. We care about our people, invest in their growth and want everyone here to be able to do the best work of their careers.
If this sounds like you, we would love to hear from you. Polaris Media is an equal-opportunity employer: we welcome applicants of all backgrounds and are committed to building a diverse team and an inclusive workplace where everyone can thrive. Apply today and tell us why you would be a great fit.
Responsibilities
As a Data Scientist at Polaris Media, you will play a central role within our Data Science function and take ownership of a broad and varied set of responsibilities. Working alongside a collaborative, motivated team, your day-to-day duties will include, but are not limited to, the following:- Document data sources, definitions and methodologies so insights are trusted and easy to reproduce.
- Ensure data quality, integrity and governance through validation, monitoring, documentation and clear data contracts.
- Build and maintain dashboards, reports and self-serve tools that make data accessible across the organisation.
- Evaluate new data tools, platforms and techniques, recommending improvements to our data infrastructure.
- Define and track the metrics that matter, and proactively surface trends, risks and opportunities to leadership.
- Mentor colleagues on data literacy and help embed a culture of evidence-based decision making.
- Design, build and maintain robust data pipelines that ingest, clean, transform and serve data reliably at scale.
- Collaborate with engineering teams to productionise models and integrate insights into customer-facing features.
- Maintain reproducible, version-controlled analysis and follow sound experimental and statistical practices.
- Partner with stakeholders to translate ambiguous business questions into well-defined, measurable analytical problems.
- Conduct exploratory analysis and experiments, and communicate findings clearly to technical and non-technical audiences.
- Develop, validate and deploy analytical and machine-learning models that turn raw data into actionable business value.
- Continuously develop your skills, seek feedback and stay current with the latest developments in your field.
- Support onboarding, knowledge-sharing and documentation so the wider team can learn, scale and succeed.
- Contribute actively to a positive, inclusive, supportive and collaborative team culture.
- Collaborate respectfully and effectively with colleagues across teams, functions, time zones and locations.
- Uphold the company's values, policies, security requirements and standards of professional conduct in all activities.
- Take full ownership of your work, manage your own priorities and consistently deliver to a high standard and on time.
- Communicate progress, risks and blockers clearly and proactively to your manager and relevant stakeholders.
- Handle confidential and sensitive information with discretion, care and integrity at all times.
- Represent the team and the company professionally in internal and external interactions.
- Adapt to changing priorities and remain calm, focused and effective in a fast-moving, evolving environment.
- Identify opportunities for improvement and bring forward practical ideas to make our products, processes and ways of working better.
- Contribute to a culture of accountability, learning from mistakes and celebrating shared wins.
- Plan and manage your workload to balance quality, speed and competing demands.
- Bring energy, curiosity and a solutions-focused mindset to everyday challenges.
What we're looking for
3-6 years of professional experience in a Data Scientist or similar roleStrong working knowledge of Python, Machine Learning and Pandas
Bachelor's degree in Data Science
Excellent communication, problem-solving and teamwork skills
Benefits
At Polaris Media, we believe that looking after our people is the foundation of doing great work. We offer a comprehensive, thoughtfully designed benefits and perks package that supports your health, your finances, your growth and your life outside of work. When you join us, you can expect the following:- Wellness initiatives throughout the year, from health talks and screenings to fitness challenges and mindfulness sessions.
- a generous annual leave allowance well above the statutory minimum, plus public holidays, because rest and time to recharge are essential to doing great, sustainable work.
- Personal accident and term life insurance providing financial protection and peace of mind for you and your loved ones.
- Allowances and reimbursements for work-related expenses, handled quickly and without unnecessary bureaucracy.
- A home-office set-up allowance plus the laptop, equipment and tools you need to work comfortably and productively.
- Regular team lunches, celebrations, offsites and social events that make work more fun, human and connected.
- A culture that actively encourages experimentation, stretch projects and learning from both wins and mistakes.
- Full sponsorship for relevant professional certifications, memberships and qualifications.
- Hybrid and remote-friendly working options, with the trust and autonomy to manage your own time and output.
- Comprehensive medical, dental and vision insurance for you and your dependants, so you and your family are well looked after.
- Employee discounts and access to a curated range of partner perks, offers and benefits.
- Flexible time-off arrangements and the trust to take the breaks you need, when you need them.
- Generous referral bonuses for helping us find and hire other great people to join the team.
- Structured mentorship, regular feedback and clear, transparent career-progression frameworks to help you grow.
- A supportive, inclusive and collaborative culture where your ideas are genuinely heard and your contribution truly matters.
- Wellness perks such as gym and fitness-membership support, plus wellbeing initiatives throughout the year.
- Recognition of personal milestones with celebration leave and thoughtful gestures.
- A results-focused environment that values outcomes and impact over hours logged at a desk.
- A real commitment to diversity, equity and inclusion, with employee resource groups and an open, respectful culture.
- Employee stock options (ESOPs), giving you a genuine stake in the company's growth and long-term success.
- Generous, fully paid parental leave for all new parents, supporting you through one of life's biggest moments.
- Free snacks, beverages and regular catered meals to keep you fuelled through the day.
- Protected time for learning, regular internal knowledge-sharing sessions and access to leading online learning platforms.
Education
Bachelor's degree in Data Science