Data Scientist Jobs in Melbourne

Data Scientist - Product Analytics

From $200/yr

Who is Quantium? Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world. Product Analytics has embraced AI-native ways of working across our analytical workflows, and we're now moving from adoption to transformation — systematically advancing our analytical assets through an agentic maturity framework we designed ourselves. The Role As a Data Scientist you are curious, analytically capable, and excited about learning AI-native ways of working. You'll build upon your foundations in data science, Python, and SQL while learning to combine them with AI tools that are central to how our team operates. How will you make an impact? * Apply Data Science methodology: including feature engineering, model development, and testing with attention to quality * Build AI-native analytical solutions: Move from simple AI assistance through to agentic workflows, contributing to our agentic maturity framework with guidance from senior team members. * Apply and critically evaluate AI outputs: Use AI tools daily to enhance your workflows and develop the skill of knowing when to trust, refine, or override what AI generates. * Contribute technically across the data lifecycle: Work across data extraction, cleaning, feature engineering, and model development using cloud platforms such as GCP, Azure, and AWS. * Design scalable, reusable approaches: Create specifications engineering teams can implement and build analytical solutions that can be applied across different business challenges. * Collaborate and share knowledge across teams: Work alongside analysts, engineers, and product specialists across geographies — sharing what you learn and contributing to AI-native practices. * Support delivery and continuous improvement: Contribute to project delivery, help resolve analytical questions, and suggest improvements to our processes, timelines, and methods. The Superpowers You’ll Be Bringing To The Team * 1-5 years of experience in data science, AI/ML development, or technical consulting * Strong Python and SQL programming skills for data analysis and manipulation * Solid understanding of data science fundamentals: data preparation, modelling approaches, and validation methods * Familiarity with version control and documentation practices * Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) * Strong communicator — able to explain complex technical concepts clearly to non-technical audiences * Experience using AI tools (Claude, ChatGPT, GitHub Copilot, or similar) in your work or studies — or genuine enthusiasm and a clear willingness to learn * Understanding of ML/AI fundamentals including how LLMs work, transformer architectures, and when to apply different approaches Remember – you might not tick all the boxes, but don’t let that from stopping you applying. We’re more interested in how you work, your ability to solve problems and think big. What could your Quantium Experience look like? Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision and by asking great questions – but it also means you can think big, outside the box and push your problem-solving skills to the max. By Joining The Quantium Team, You’ll Get To * Forge your path: So many of our team have moved around different teams or offices. You’ll be in the driver’s seat, and we empower you to make your career your own. * Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). * Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. But wait, there’s more! We’ve Got Some Pretty Sweet Perks * Flexible work arrangements: Achieve work life balance at your own pace with hybrid and flexible work arrangements. * Continuous learning: Our vision is empowering analytics talent to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice. * Remote working: Embrace the opportunity to work outside of your assigned home location for up to 30 days every year. Apply now and let's forge a better, more intelligent world together! Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use \& store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.

Data Scientist

Wesfarmers OneDigital is building Australia's leading data and digital retail ecosystem, underpinned by AI across everything we do. We operate across four pillars - loyalty, data, retail media and AI, turning millions of customer interactions into insights that shape how Australians shop, live and connect. We have an exciting, new opportunity for a Data Scientist to join our team! This role will work across the full lifecycle of data science projects—from exploration and experimentation to deployment and monitoring. You’ll collaborate with stakeholders to solve business problems by applying machine learning, advanced analytics and generative / agentic AI to data across the Wesfarmers group. You’ll contribute to the development of scalable AI solutions and help embed data science into decision-making processes across the organisation. What you’ll do * Translate business challenges into analytical problems and develop data-driven solutions. * Perform exploratory data analysis and generate actionable business insights. * Design and execute A/B tests and other statistical experiments. * Create clear visualisations and reports to communicate findings to non-technical audiences. * Experiment, build and deploy machine learning and AI solutions. * Evaluate ML/AI outputs for quality, cost, and safety. * Monitor and maintain deployed solutions, ensuring reliability and performance. * Leverage AI tools including coding agents, skills and plugins to accelerate experiments and enhance the quality of data science outcomes. * Contribute to the development and adoption of data science best-practices, reusable patterns and delivery standards. What you’ll need * Several years of experience in data science, analytics, or AI. * Experience with statistical analysis and hypothesis testing. * Familiarity with machine learning algorithms and data driven AI applications. * Proficiency in Python and SQL for data analysis and model development. * Experience with Snowflake or other cloud data platforms. * Familiarity with cloud ML and AI platforms such as Google Agent Platform (formerly Vertex AI). * Experience with AI coding tools, GenAI / agentic AI solutions and LLM evaluation. * Experience with PowerBI or visualization tools. Experience using Snowflake, SQL, Python, Codex * Experience with unsupervised learning, graph algorithms or causal inference. * Application of ML / AI best practices and responsible AI. * Google Agent Platform (Vertex AI) * Ability to communicate technical concepts to non-technical audiences. * Bachelor’s degree in Data Science, Statistics, AI, Computer Science, or a related field. About Wesfarmers As one of Australia’s largest listed companies, we’re proud of our longstanding contribution to Australians. We continually reinvent ourselves and invest in the businesses we own and operate, including leading retailers like Bunnings, Kmart, Target, Officeworks and Priceline. We also have an online offering, including OnePass and the Group shared data asset. Our work doesn’t stop there, we operate in the industrials sector which supplies the nation with chemicals, energy and fertilisers, and industrial and safety products. And we participate in an integrated lithium joint venture, including the operation of a mine and concentrator and the development of a refinery. Join the team at Corporate Office which provides support and advice across the Wesfarmers Group The Corporate Office provides corporate services and support to the autonomous businesses within the Wesfarmers Group, enabling the achievement of Group objectives. It leads capital allocation and portfolio management for the Group and focuses on leveraging and enhancing the Group’s reputation to support attraction and retention of talent, securing investment opportunities and maintaining a low-cost capital. To do this, we need great people, working together and role modelling our values and ways of working. Our culture We’re results focused, but we’re a business that cares. Here we are less about titles and more about everyone playing a valuable role. We provide autonomy and space with freedom to operate, quickly learning from mistakes because we know they are part of the way forward. We’re curious, open minded, and collaborative. And although we’re thought leaders, we’re humble, and willing to share knowledge and learn from one another. We know that diversity fosters greater innovation and better customer connection, so we strive to create an inclusive and diverse work environment.

Senior Data Scientist - Product Analytics

From $200/yr

Who is Quantium? Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world. Product Analytics has embraced AI-native ways of working across our analytical workflows, and we're now moving from adoption to transformation — systematically advancing our analytical assets through an agentic maturity framework we designed ourselves. The Role As a Senior Data Scientist, you are analytically strong and genuinely excited about AI-native ways of working. You'll bring solid foundations in data science, Python, and SQL — and combine them with AI tools to build, transform, and scale analytics solutions. We operate globally across Australia, India, the UK, and North America. You'll work within cross-functional teams alongside Product Leads, Delivery Managers, and engineers — taking on increased technical responsibility while developing coordination and mentoring capabilities. How will you make an impact? * Design and build analytics solutions using AI-native workflows from prompt-driven exploration through to agentic code generation — and progress analytical assets along our agentic maturity framework * Critically evaluate AI-generated outputs and develop reusable approaches, Claude skills, and specifications that scale across teams and geographies * Take responsibility for significant components of analytics solutions including models, algorithms, and optimisation approaches, with attention to quality and scalability * Apply advanced data science methods including experimental design, feature engineering, statistical modelling across complex datasets using cloud platforms such as GCP, Azure, and AWS * Create detailed specifications for analytics work that engineering teams can implement, and contribute to technical discussions on approach, effort, and timelines * Support and coordinate technical work with analysts at different experience levels, sharing knowledge and building capability — particularly around AI-native practices * Identify opportunities for workflow transformation and process improvement, and support client project delivery and ongoing engagement requirements The Superpowers You’ll Be Bringing To The Team * 4–7 years of experience in data science, AI/ML development, or technical consulting * Strong Python and SQL programming skills for complex data challenges * Solid understanding of data science methods: experimental design, feature engineering, statistical modelling, and model development — with practical commercial application * Familiarity with software engineering practices including version control, testing, documentation, and deployment workflows such as CI/CD pipelines and containerised environments * Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) * Strong communicator — able to explain complex technical concepts clearly to non-technical audiences * Interest in agentic development patterns and comfort working in a team where AI-native methods are the default, not the exception * Strong problem-solving approach with the ability to work independently and collaboratively across diverse, distributed teams * Experience using AI tools (Claude, ChatGPT, GitHub Copilot, or similar) in your work or studies or a compelling demonstration of rapid learning and genuine enthusiasm * Strong understanding of ML/AI fundamentals including how LLMs work, transformer architectures, and when to apply different approaches Remember – you might not tick all the boxes, but don’t let that from stopping you applying. We’re more interested in how you work, your ability to solve problems and think big. What could your Quantium Experience look like? Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision and by asking great questions – but it also means you can think big, outside the box and push your problem-solving skills to the max. By Joining The Quantium Team, You’ll Get To * Forge your path: So many of our team have moved around different teams or offices. You’ll be in the driver’s seat, and we empower you to make your career your own. * Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). * Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. But wait, there’s more! We’ve Got Some Pretty Sweet Perks * Flexible work arrangements: Achieve work life balance at your own pace with hybrid and flexible work arrangements. * Continuous learning: Our vision is empowering analytics talent to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice. * Remote working: Embrace the opportunity to work outside of your assigned home location for up to 30 days every year. Apply now and let's forge a better, more intelligent world together! Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use \& store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.

Data Scientist - Technical AI Solutions

From $200/yr

Who is Quantium? Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world. We're ALL in on AI — transforming ourselves into an AI-native organisation while helping our clients do the same. With 23 years of domain expertise, proprietary data partnerships, and industry-leading AI adoption (90% weekly active usage), we are at the forefront of what's possible with data. The Role As a Data Scientist in the AI Technical Solutions team, you will contribute to the design and delivery of GenAI solutions for some of Australia's largest organisations. This is a hands-on technical role where you will work on production-grade AI applications — from initial design through to client handover — developing your technical expertise alongside a consultative mindset. You will work alongside experienced data scientists, engineers, and client teams to solve complex business problems using large language models (LLMs), machine learning, and modern cloud technologies. If you are eager to grow your skills in an environment where technical rigour meets real-world impact, this role is for you. What You'll Do * Contribute to building production-grade GenAI and LLM applications using Python and modern AI frameworks (e.g. LangChain, LangGraph) * Work with cloud platforms (AWS, Azure, or GCP) and containerisation tools to support the delivery of AI solutions * Apply a range of AI approaches under guidance — from classical ML through to LLM prompts, workflows, and agents * Support the design of evaluation frameworks and observability metrics to ensure solution quality and performance * Develop APIs and build data pipelines using SQL, DBT, and orchestration tools * Collaborate with clients and domain experts to understand problems, validate approaches, and communicate technical concepts clearly * Participate in code reviews and contribute to team technical standards * Identify and communicate technical risks and trade-offs clearly and proactively What You'll Bring * A degree in a quantitative field such as computer science, mathematics, statistics, engineering, or equivalent demonstrated capability in data science or AI/ML * 2–4 years of experience in data science, AI/ML development, or a related technical role * Solid Python programming skills with an appreciation for good software engineering practices — testing, code quality, and version control * Some practical exposure to GenAI/LLM applications, including frameworks such as LangChain, LangGraph, or equivalent * Familiarity with at least one major cloud platform (AWS, Azure, or GCP) and an understanding of containerisation concepts (Docker) * A foundational understanding of ML/AI concepts, including how LLMs work and when to apply different approaches * Working knowledge of SQL and data pipeline concepts * Clear communication skills — able to explain technical concepts to non-technical audiences * Experience contributing to AI/ML solutions end-to-end, ideally in a professional setting Nice to Have * Exposure to data orchestration tools (Airflow, Vertex AI Pipelines) and transformation frameworks (DBT) * Familiarity with ML algorithms (GBM, GLM) and experimentation frameworks, including A/B testing * Some experience in consulting or client-facing delivery environments Our Values * Move fast with care — we hustle with humility and heart, even under pressure * Reach for remarkable — we respectfully challenge the status quo, with courage, passion, and discipline * Share our superpowers — we recognise, value, and celebrate what makes each of us unique * Balance tomorrow with today — we weigh short- and long-term trade-offs thoughtfully in our decision-making * Drive for impact — we own the responsibility to deliver tangible value to our partners and clients What could your Quantium experience look like? Working at Quantium will allow you to challenge your imagination. You will get to solve complex business problems using rigour, precision, and by asking great questions — but it also means you can think big, outside the box, and push your problem-solving skills to the max. By Joining The Quantium Team, You'll Get To * Forge your path: So many of our team have moved around different teams or offices. You'll be in the driver's seat, and we empower you to make your career your own. * Find your kind: Embrace diversity and connect with your tribe — think foodies, dog lovers, readers, or runners. * Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. Benefits On top of the Quantium experience, you will enjoy a range of great benefits that go beyond the ordinary, including: * Flexible work arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements * Remote working: Embrace the opportunity to work outside of your assigned home location for up to 30 days every year (eligibility criteria apply) * Global mobility: As we expand globally, there are lots of exciting opportunities to work abroad with Quantium Apply now and let's forge a better, more intelligent world together! Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use \& store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.

Staff Data Scientist - Product

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.

Staff Data Scientist, Office of the Founders

From $48/yr

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.

Senior Data Scientist

From $147,000/yr

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.

Data Scientist

From $20,000/yr

Job Description At Publicis Sapient, We’re Building Something Truly Exceptional ! Our Data \& AI practice designed to redefine how businesses operate, grow, and deliver value. We re not talking about trendy buzzwords—we re talking about real impact. AI is transforming industries, enriching customer experiences, and unlocking untapped potential—and we re leading that change every day Join Publicis Sapient as a Senior Associate, Data Science and help shape the future of data-driven digital transformation. In this role, you will help to drive the Data \& AI practice by playing a critical role in delivering solutions for our clients and contributing to business development activities. This is a hands-on role where you will apply advanced techniques for data analytics, machine learning, and AI as a core building block for our services. You will leverage your experience across industries to understand business requirements, identify approaches and designs, and work with multi-disciplinary teams to develop solutions. As an evangelist for Analytics, you will engage with broader data, engineering, product, and strategy practices to provide insights into best practices and emerging technologies and techniques, ensuring that the solutions we develop are data and insight driven. What you will do: * Design and implement advanced analytical solutions and machine learning models that drive measurable business value, selecting appropriate methodologies based on problem context, ensuring models are robust and interpretable, to ensure solutions meet client needs, not just basic requirements. * Build client relationships and deliver end-to-end data science engagements, from problem framing and exploratory analysis through to model deployment and impact measurement, translating complex analytical findings into actionable business recommendations and managing stakeholder expectations throughout the project lifecycle. * Thrive in cross-functional team environments, working closely with data engineers, analysts, software engineers, experience and strategy specialists, and business stakeholders to deliver integrated solutions, facilitating effective communication across technical and non-technical audiences, and driving consensus on complex decisions. * Help shape and grow our Data practice, invest in continuous learning and support development of others, stay current with emerging technologies and methodologies, and contribute to a collaborative team culture where knowledge sharing and growth are valued. Establish standards to ensure consistency across projects and teams. * Contribute to business development and firm visibility by participating in proposal development and client pitches, creating thought leadership content through, engaging with the broader data engineering community, and identifying opportunities to expand existing client relationships. Experience and Skills required: * 8+ years of relevant professional experience working as a data scientist. * A passion for using AI and data for business transformation and a thirst to continually learn and keep pace with the latest innovations and applications. * Experience in statistical methods and modelling techniques (e.g., Random Forests, Clustering, Linear Regression) and expertise in key areas such as customer intelligence (segmentation, behavior analysis, personalization, recommender systems, forecasting). * Experience using and integrating generative AI models and platforms, agentic solutions, and context engineering techniques. * Experience with programming languages (Python, R, SQL) and AI/ML platforms (e.g. Databricks, and cloud platforms (e.g. Azure Synapse, AWS SageMaker, Google Cloud Vertex AI). * Experience with data science, data visualization, and data analysis tools (e.g., scikit-learn, pandas and NumPy, Apache Spark, matplotlib, ggplot2). * Experience working with large volume data sets and multiple data formats and interfaces (SQL, JSON, REST, Parquet, streaming, geospatial, unstructured). * Technical knowledge of reporting and data visualization tools (Tableau \& Power BI), graphing and chart libraries (e.g., matplotlib, plotly). * Experience working in a client-facing (ideally) consulting role, having great written and verbal communication skills, and the ability to work closely with stakeholders, or having been part of a project team. * Flexibility and the willingness to travel are required for this role, as you might need to spend time on-site with our clients. * Experience in agile methodologies and relevant tools (Confluence, Jira, git). * Experience working in cross-cultural and cross-disciplinary teams. Desired Qualifications * Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation, etc.). * Experience in production environments for Machine Learning products, knowledge of the tools that are needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes). * Solid knowledge of software engineering principles \& deployment methods (preferably in cloud environments). Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP, etc. * Industry experience in the Finance, Automotive, Logistics, Energy, or public sector. Additional Information * An inclusive workplace that promotes diversity and collaboration. * Access to ongoing learning and development opportunities. * Competitive compensation and benefits package. * Flexibility to support work-life balance. * Generous paid leave and holidays. * Wellness program and employee assistance. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.