people2peopleSydney Olympic Park, New South Wales, Australia
From $12/yr
Join a Globally Recognised and Innovative Brand An exciting opportunity is available with Samsung Electronics Australia, one of the world's most recognised technology brands. Employed by people2people and working closely with Samsung, you'll be part of an innovative and collaborative environment where new ideas are encouraged, achievements are recognised and professional growth is supported. We're seeking a Data Scientist to join the team, on a 12-month fixed-term contract, and help drive ongoing success. What You'll Be Doing * Analyse complex datasets to uncover trends, patterns, anomalies and new commercial opportunities. * Develop and validate statistical, predictive and machine learning models using Python and SQL. * Apply hypothesis testing, A/B testing and advanced analytics to solve complex business challenges. * Leverage Snowflake, dbt, Tableau, Cortex AI and Claude Code to develop innovative analytical solutions. * Translate complex technical findings into compelling insights and recommendations for technical and non-technical stakeholders. * Build automated analytical processes and support secure, reliable and high-quality data pipelines. * Collaborate with global Samsung Ads teams to share insights, best practices and drive data-led decision making. What You'll Bring * Previous experience in Data Science, Analytics or a related quantitative discipline. * Strong SQL and Python capability, with hands-on experience in statistical analysis and modelling. * Degree in Computer Science, Mathematics, Statistics, Economics, Engineering, Physics or a related quantitative discipline. * Strong statistical foundation with experience across predictive modelling, regression, classification, clustering or time-series analysis. * Experience with BI and visualisation tools, ideally Tableau, and cloud data platforms such as Snowflake and dbt. * Strong analytical and problem-solving skills, with the ability to turn complex data into clear commercial insights. * A curious, proactive and adaptable mindset with the confidence to explore new technologies and AI-powered analytics. Why Join Us? This is an opportunity to gain valuable experience within a globally recognised organisation while enjoying the support of both Samsung and the people2people team. In Return, You'll Enjoy * Competitive remuneration * Free onsite parking * Generous employee discounts across the Samsung product range * Wellbeing Initiatives * Barista-made coffee every Monday * Ongoing professional development opportunities * Discounts across 400+ retail partners * Quarterly Connection Events * Exposure to a dynamic, collaborative and high-performing environment If you're looking to take the next step in your career with a leading global brand, we'd love to hear from you! At people2people, Edge Recruitment and Frog Recruitment, we welcome everyone and encourage people to be their authentic selves. If you require reasonable adjustments during the recruitment process, please contact your recruitment consultant so we can support your needs. [#People2people]
The role As a Staff Data Scientist in the Product Data Science \& Engineering team, you'll own end to end science roadmaps for a product domain, partnering with Product, Engineering and Design to frame problems, define success metrics and drive experimentation from discovery through to decision and iteration. You'll lead the measurement strategy for your area, shape how AI is applied to analytics and agentic use cases, and act as a trusted advisor to senior stakeholders on the most complex and ambiguous problems in your space. Beyond your own domain, you'll build reusable analytical assets that get adopted across pods, mentor data scientists coming up around you, and help shape the standards and tooling for the wider data science community at Xero. This is a role for someone who wants their thinking to extend well past their own desk. The team Product Data Science \& Engineering partners closely with Xero's product and technology functions, driving decision making, experimentation and measurement. The team is moving from a service oriented analytics group into a product building function, increasingly responsible for designing and productionising AI driven analytics experiences, including agentic solutions. Sitting within a design led organisation, the team brings a strong customer and product orientation to everything it builds. The team is currently working on * Defining measurement, evaluation metrics and guardrails for AI powered product features and agentic experiences * Productionising decision, ranking or risk models in partnership with engineering * Building and extending reusable analytical assets, including canonical metrics and experimentation tooling * Establishing patterns for using AI and automation to accelerate the team's own workflows Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for * You bring strong SQL and Python skills alongside a solid statistical foundation, including experimentation and causal methods * Working across Snowflake, dbt and Git feels natural to you, and you're comfortable with CI/CD practices for code * You've productionised models or decision systems alongside engineering teams, whether that's scoring, risk, ranking or propensity work * Influencing senior partners across Product, Engineering and Design comes naturally, and you know how to align people on decision criteria and trade-offs * Mentoring and coaching other data scientists is something you genuinely enjoy, not just a box to tick * A tertiary qualification in a quantitative discipline, along with significant experience in data science or applied science, rounds out your background Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
The Role As Data Scientist in Linktree’s Office of the Founder, you’ll be the analytical partner to the decisions that set our direction. You’ll turn a business that serves tens of millions of creators and billions of visitors into a set of numbers leadership can plan against — forecasting where we’re heading, pressure-testing the bets we’re making, and creating clear accountability to the plans we commit to. Most of all, you’ll help Linktree achieve our mission: To empower anyone to curate and grow their digital universe. You’ll work on the questions that don’t have an owner yet. Some weeks that means building a driver-based model of revenue growth; other weeks it means giving a founder a defensible answer in 48 hours to a question nobody has asked before. You’ll decide which of those the moment calls for, and you’ll be explicit about what your numbers can and can’t support. You’ll sit close to the executive team while staying hands-on across our data stack, building the datasets, models and forecasts you need rather than waiting for someone else to. You will work 3 days per week from our Melbourne or Sydney office, and 2 days per week from home. What You’ll Own * You’ll help founders and executives shape strategy by identifying opportunities, framing key questions and recommending where to focus * You’ll assess strategic investments, partnerships, quantify trade-offs and recommend what to pursue, test, scale or stop * You’ll define success measures with Finance and functional leaders, hold teams accountable to agreed outcomes and recommend when to adjust course. * You’ll build and own the datasets and models that quantify company performance, rather than waiting for another team to prepare them; * You’ll influence executive and board decisions through clear recommendations and constructive challenge, explaining the assumptions and limits of the evidence. * You’ll raise the analytical bar across the company, evangelising good practice on metrics, forecasting and statistical rigour; Who We’re Looking For * You have at least 5 years of relevant experience as a Data Scientist or in a comparable analytical role in a high-growth technology company; * You have a track record of shaping strategic direction with founders and executives, and can point to decisions your analysis changed * You have built driver-based forecasts or operating models, and held yourself accountable to their accuracy; * You’re hands-on across SQL and a modern analytics stack, and comfortable building your own pipelines and datasets; * You have at least a Bachelor’s degree in mathematics, statistics, economics, computer science or a related discipline; * You can hold a clear point of view with senior stakeholders, and change your mind when the data says so; * You thrive in ambiguity, and you’re comfortable being the first person to work on a question; * You can work from our Melbourne or Sydney office 3 days per week. Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. P.S. If you don’t tick every box in this listing, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button! Our Story We’re on a mission to empower anyone to curate, grow, and monetize their digital universe. We created the “link in bio” category — and we’re just getting started. From creators, artists, and entrepreneurs to global brands, we’re redefining how people connect with their communities, showcase their content and promote products — all in one link. Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space. We’ve teamed up with some of the world’s biggest platforms including TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit, Laylo, and Kajabi, to unify Linkers’ digital spaces, and we partner with retail brands Amazon, Lululemon, Nike, Target, Sephora, Lululemon, and more to share products they love. We’re a tight-knit, passionate team building best-in-class tools that make online presence simple, powerful, and yours. If you're excited by the idea of shaping a new category, setting the standard, and making space for everyone to be seen and succeed, we’d love to meet you. Where And How We Work We're a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We work together flexibly and you can choose the setup that works best for you: fully remote or a hybrid mix of office and home. We offer autonomy in how you structure your days and weeks. While we’re mindful of time zones and occasionally collaborate outside the typical 9–5, we lean into async work to keep things flowing. Our culture is family-friendly and Zoom-casual where kids, pets, and delivery drivers are welcome. How We’ll Help You Thrive Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together (one of our values). Some ways we support you: * An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours! * 100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees. * Employer contribution towards your retirement. * Generous time off for vacation, holidays, parental leave, volunteer time, and other categories. * Employee stock option program - we want each and every employee to share in the company’s success. At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we’re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to fully participate in our opportunities, please don't hesitate to reach us at talent@linktr.ee – your needs are important to us.
The Role As a Senior Data Scientist on Linktree's Core Product Analytics team, you'll be at the centre of how we understand our product and decide what to build next. With 70+ million people using Linktree to connect with their audiences, and billions of visitors clicking through each year, you'll turn that activity into clear answers on what's working, what isn't, and where we should invest. You'll partner closely with Product, Engineering, Design and Marketing to define the metrics that matter, design and read the experiments behind our biggest launches, and dig into the growth, retention and monetisation questions that shape our roadmap. You'll design smart, scrappy tests that give us directional signal fast, and run more formal hypothesis tests when the stakes are high, always working in lean build-measure-learn cycles. As we bring core data analysis together under one team, you'll help set the standards for how Linktree measures, tests and reports. You'll stay hands-on across our modern data stack, building the datasets and models you need rather than waiting for someone else to. Most of all, your work will help Linktree achieve our mission: to empower anyone to curate and grow their digital universe. What You’ll Own * Define, own and evolve Linktree's core product metrics and the metric trees behind them, from acquisition and activation through engagement, retention and monetisation * Design, run and evaluate A/B tests and quasi-experiments across the core product, and turn the results into clear ship, iterate or kill recommendations * Lead deep-dive analyses on growth, retention and revenue questions, proactively surfacing opportunities and risks that aren't yet on the roadmap * Build and own trusted datasets, dbt models and dashboards that give squads reliable, self-serve visibility into product performance * Partner with PMs and engineering leads on roadmap prioritisation, opportunity sizing and success criteria for new launches * Set and champion standards for experimentation, metric definitions and analytical rigour across the company, and mentor others in using them * Communicate insights to product leadership and the executive team in clear, decision-ready narratives Who We're Looking For * 4–5+ years of experience as a Data Scientist or Product Analyst in a high-growth, product-led technology company * Hands-on experience running a wide range of experiments, from quick-and-scrappy tests to formal hypothesis tests, with a strong grounding in statistics, power analysis and causal inference * Advanced SQL and fluency in Python (or R) for analysis and modelling; comfortable building your own pipelines and datasets * Experience with modern data stacks (e.g. dbt, Dagster/Airflow, Snowflake/BigQuery) and BI tools such as Hex or Looker * A track record of defining product metrics and using data to change product decisions, with impact you can point to * Comfortable in ambiguity: you scope your own problems and can hold a clear point of view with senior stakeholders, and you change your mind when the data says so * Excellent communicator who can turn complex findings into clear recommendations for any audience * Bachelor's degree in mathematics, statistics, economics, computer science or a related field (MS/PhD a plus) Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. The base salary offered for this role is targeted at $147,000-$182,000 for roles based in San Francisco, Los Angeles or US-Remote. Final offers depend on multiple factors including location, experience, expertise, and role scope, and may vary from the range listed. P.S. If you don’t tick every box in this listing, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button! Our Story We’re on a mission to empower anyone to curate, grow, and monetize their digital universe. We created the “link in bio” category — and we’re just getting started. From creators, artists, and entrepreneurs to global brands, we’re redefining how people connect with their communities, showcase their content and promote products — all in one link. Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space. We’ve teamed up with some of the world’s biggest platforms including TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit, Laylo, and Kajabi, to unify Linkers’ digital spaces, and we partner with retail brands Amazon, Lululemon, Nike, Target, Sephora, Lululemon, and more to share products they love. We’re a tight-knit, passionate team building best-in-class tools that make online presence simple, powerful, and yours. If you're excited by the idea of shaping a new category, setting the standard, and making space for everyone to be seen and succeed, we’d love to meet you. Where And How We Work We're a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We work together flexibly and you can choose the setup that works best for you: fully remote or a hybrid mix of office and home. We offer autonomy in how you structure your days and weeks. While we’re mindful of time zones and occasionally collaborate outside the typical 9–5, we lean into async work to keep things flowing. Our culture is family-friendly and Zoom-casual where kids, pets, and delivery drivers are welcome. How We’ll Help You Thrive Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together (one of our values). Some ways we support you: * An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours! * 100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees. * Employer contribution towards your retirement. * Generous time off for vacation, holidays, parental leave, volunteer time, and other categories. * Employee stock option program - we want each and every employee to share in the company’s success. At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we’re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to fully participate in our opportunities, please don't hesitate to reach us at talent@linktr.ee – your needs are important to us.
We're the world's leading consumer healthcare platform, supporting millions of patients across the US, Australia, the UK, Germany, Japan, Spain and Canada. We're driven by the belief that good health should last a lifetime, and that to get there we need to deliver the personalised, high quality and empathetic care that the traditional system cannot support. You'll partner with our care teams of prescribers, nurses, health coaches, pharmacists and dietitians to support patients across preventative health, weight management and specific women's and men's health conditions. We joined Hims \& Hers so that you can do all of the above on a bigger scale, with more ambition, a stronger global brand and the resources to deliver care to patients in dozens of countries. We're looking for people who appreciate and are excited by the enormity and uniqueness of this challenge, and want to work in the most ambitious, smart, fast moving and positive sum environment of their lives to transform how healthcare is delivered globally. We hope that's you. About The Role AI now touches almost every conversation we have with patients — consultations, medical support, health coaching, AI assistants, and patient experience support. As we scale, we need one standardised way to answer: are these conversations safe, accurate, and high quality? That’s what you’ll build. You’ll own the development of a standardised evaluations layer across all of our support workstreams — clinical interactions (consultations, medical support), health coach conversations, AI assistant conversations, PX support, and health insights (wellness vs. clinical). You’ll build the services that monitor what is said to our patients and flag risky conversations and insights. You’ll also own how our AI assistants integrate with our in-house patient data models, so every assistant responds with accurate, well-grounded patient context. This is a rare junior role: real ownership of a safety-critical system from day one, with the support of experienced teams around you. You’ll report to the Head of Data and work closely with the ML Engineering, Data Engineering and Data Science teams. What You'll Own * Design and build a standardised evaluation framework covering clinical interactions, health coach conversations, AI assistant conversations, PX support, and health insights * Build and run services that monitor patient-facing conversations and automatically flag risky content for review and escalation * Develop eval datasets, metrics, and thresholds with clinicians, coaches, and support leads — turning “what good looks like” into something measurable * Own the technical integration between our AI assistants and our data models, making patient \& business context available to assistants safely, and consistently * Operate your systems in production: monitoring, alerting, and iterating as models and prompts evolve * Own and automate guardrail updates based on internal and patient feedback from interactions with our third-party support tools * Share results with the teams who own each workstream, and help them improve About You * A degree in computer science, engineering, data science, or a related field — or equivalent practical experience * Strong Python skills and the fundamentals to build reliable services, not just notebooks * Hands-on experience with LLMs: prompt engineering, and ideally exposure to eval frameworks or LLM-as-judge approaches (coursework, internships, or personal projects all count) * A careful, safety-first mindset — you care about what an AI system says to a real patient, and you sweat the edge cases * Clear communication — you can explain eval results to a clinician as well as an engineer * Comfortable with ambiguity: this layer doesn’t exist yet, and you’ll help define it Nice to have * Experience with eval tooling (e.g. promptfoo, Ragas, LangSmith, or in-house harnesses) * Exposure to healthcare, regulated industries, or other high-stakes AI applications * Familiarity with GCP, SQL, or modern data stacks 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. * 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, 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. We use AI-assisted tools across our business to help our teams work more efficiently, including within our recruitment process. These tools support our team — all hiring decisions are made by real people, and every application is reviewed by a member of our recruitment team.
* Bring your expertise in Python, SQL, machine learning and agentic AI to turn complex challenges into scalable solutions. * Shape the future of AI at Zip, building intelligent solutions that solve real customer problems and make a meaningful impact. * Collaborate with talented teams across Data, Product and Engineering in Sydney. Write your story with a career at Zip A role in Zip’s Data \& AI Squad will see you partner with key stakeholders to deliver reliable, future ready data and AI solutions that power smarter decisions. As a Senior Data Scientist in our Customer Data Science team, you'll take ideas from experimentation to production, using machine learning and emerging AI technologies to improve how we work and the experiences we create for our customers. What You’ll Own * Lead the design, development and deployment of machine learning and agentic AI solutions that deliver measurable customer and business outcomes. * Turn complex problems into practical solutions through advanced analytics, experimentation and statistical modelling. * Partner with Product, Engineering and business teams to bring AI innovation to life, while sharing your expertise to help others grow. What You’ll Bring To The Team Zipsters bring different experiences and perspectives. What matters most is your curiosity, willingness to grow and connection to our values. Even if you don't tick every box, we'd love to hear from you. * 5+ years' experience in Data Science, with a track record of delivering impactful machine learning and AI solutions. * Advanced Python and SQL skills, with strong knowledge of statistical modelling, experimentation and modern data platforms. * Hands-on experience building and deploying production ready ML models and agentic AI solutions, including LLMs. * Strong problem solving and communication skills, with the ability to turn complex insights into clear recommendations. * A mindset that embraces AI and new tools to adapt, learn and grow. * An aptitude for identifying and managing risks. Whether you are a People Manager or an Individual Contributor, we are all leaders at Zip, therefore effective risk management is important to how we run our business and part of all our roles. * Our values in your DNA: Customer First, Own It, Stronger Together and Change the Game What You’ll Get In Return As we write this next exciting chapter in our story, we will continue to move at pace and embrace change. For you, this might mean opportunities to learn new skills with hands-on experience, broader responsibilities, or the buzz of seeing your work impact customers faster. Zip is a place where you’ll get out exactly what you put in. When you join the team, we'll do our best to make sure you can be yourself and surround yourself with smart, friendly colleagues and leaders who have your back, so that you can make the big things happen. Zipsters tell us these are just some of the best things about working here. You’ll also receive: * 25 days paid leave annually, including birthday leave and quarterly wellbeing days * 16 weeks paid parental leave for primary carers, and 4 weeks for supporting carers * Family support policies including miscarriage bereavement leave and domestic violence leave * Mental health and wellness initiatives, including $299 annual wellbeing allowance, free access for you and family members to our EAP service Sonder, discounted private health insurance, and great rates on fitness sessions through ClassPass * 2 days paid volunteering leave per year * Access to the Flare Benefits Hub and Novated Leasing for savings across lifestyle, essentials and wellbeing * Fee-free Zip products, and discounts with Zip merchant partners * Team social events, epic offices, free breakfast daily, and weekly free lunches Be a part of a team that reflects the diversity of our customers We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique. Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience. And finally…get to know us Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together. Operating in two core markets - Australia and the US, Zip offers point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do.
Description AWS Networking operates one of the largest and most complex networks on the planet. The team you'd join is responsible for the availability of that network — measuring how it performs for customers, predicting where it is most likely to degrade, and reshaping how we operate it as the workload grows. We are in the middle of a significant change in how network operations are run. Lessons from our recent work on automation, AI, and ML — including agentic systems that triage and mitigate incidents alongside engineers — are feeding into a broader rethink of where humans focus, where automation takes over, and how we measure whether either is working. We are looking for a Data Scientist to join the team in Sydney to drive the data science strategy behind that change. You will define the metrics that matter, own the evidence the team uses to make decisions, and measure whether each decision delivered the outcomes we expected. You'll be the data science voice on a team of senior network and software engineers — the person who decides what we measure, how we measure it, and what the numbers actually mean. Concretely, that means setting the analytical bar for the program, designing risk and reliability models against telemetry from millions of network devices, surfacing the patterns that drive customer-impact incidents, and turning that analysis into the dashboards and metrics our leaders use to set priorities. It also means owning the evaluations that tell us when a new piece of automation — including the agents we are rolling out to support engineers on the front line — is actually moving the needle on availability, and not just adding noise. If you are a scientist who wants to shape how a tier-one production network is run — using data to drive program strategy, not just to support it — at a scale no academic lab or startup can match, and you're at your best as the data science voice embedded in a team of engineers, this is the team for you. Key job responsibilities * Define and drive the data science strategy for the program — the metrics, the experiments, and what counts as evidence that a change worked * Lead the design and deployment of predictive risk and reliability models for network availability, using device failures, alarm telemetry, ticket data, and traffic signals * Own the evidence behind program decisions: where availability is at risk, where automation is ready to expand, where engineering effort has the highest leverage. Defend recommendations to senior technical and business audiences * Design and own the operational analytics and dashboards (Amazon QuickSight, Amazon CloudWatch, Python) used by senior leadership to track network health and the impact of operational change * Design and run experiments to evaluate the automation we are rolling out — including agentic systems supporting engineers on incidents — measuring whether each rollout improved availability * Drive data quality and classification improvements — event categorisation, root-cause attribution — so the program's metrics rest on solid ground * Build and own event-driven scoring pipelines (Python, SQL, AWS Lambda, Amazon S3, Amazon Athena) that keep the decide / measure / improve loop running * Bring statistical rigour to the engineers you partner with — review experiment designs, push back on unsupported assumptions, and raise the bar on how the team uses evidence A day in the life You might start the morning defining how the team will measure a new initiative — the success metrics, the counterfactual, the bar for calling it a win. By mid-morning you're with the engineering team turning a proposal into a decision: walking through trade-offs, pushing back where the data doesn't support an assumption. The afternoon is outcome measurement — refining the evaluation pipeline that tracks last week's rollout, updating the CloudWatch dashboard senior leadership uses to gate the next expansion, and prepping the data for an upcoming Director review. About The Team We sit inside AWS Networking with a strong Sydney presence and a remit that spans network availability, the data and analytics that support it, and the automation we are building to change how operations are done. You'd be the data science voice in a small, senior team of network and software engineers in Sydney, partnering with the broader network engineering organisation across Seattle and Dublin. Small team, high autonomy, direct line to senior leadership, and a roadmap with real production impact rather than research demos. Basic Qualifications * 2+ years of data scientist experience * 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience * 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience * 1+ years of working with or evaluating AI systems experience Preferred Qualifications * Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM) * Knowledge of machine learning concepts and their application to reasoning and problem-solving * Experience in Python, Perl, or another scripting language * Experience in a ML or data scientist role with a large technology company * Experience in defining and creating benchmarks for assessing GenAI model performance Acknowledgement Of Country In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Support Services Pty Ltd Job ID: A10460021