Job Description
Overview/n /n /n In the Microsoft Frontier Company Engineering team, you won’t just build software; you’ll deliver real outcomes for some of the world’s most complex organizations. /n /n /n /n /n /n We are a global team of world-class engineers who have been working in a Forward Deployed Engineering (FDE) model for more than a decade, embedding directly within customer teams to solve their toughest challenges, side-by-side, and shipping production-ready solutions in days, not months. /n /n /n /n /n /n As a Senior Data Scientist, you will help transform how organizations use data, developing models, running experiments, and driving evidence-based decisions that have measurable business impact. You’ll work in small, multidisciplinary crews alongside engineers, product managers, and domain experts, owning the full lifecycle from data discovery through to deployed solutions. /n /n /n /n /n /n /n /n /n /n /n /n This role offers the opportunity to: /n /n /n /n
- /n Work with messy, real-world datasets and turn them into scalable, production-ready solutions /n /n /n /n /n
- /n Run experiments that directly influence business strategy and customer outcomes /n /n /n /n /n
- /n Collaborate with leading global organizations across industries /n /n /n /n /n
- /n Apply the latest advancements in AI and data science to solve problems at scale /n /n /n /n /n /n /n Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. /n /n /n Responsibilities/n /n /n




- You will acquire the data necessary for your project plan and develop usable data sets for modeling. You’ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. /n
- You will evaluate your team’s models using metrics tied to genuine business outcomes and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. /n
- You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. /n
- You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore current opportunities. You’ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. /n
- You will embody our culture and values. /n /n /n Qualifications/n /n Required/Minimum Qualifications (RQs/MQs) /n /n
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,



or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)/n /n
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) /n
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) /n
- OR equivalent experience. /n /n
- 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. /n /n /n /n Additional or Preferred Qualifications (PQs) /n /n
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)/n /n
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) /n
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing s

📌 Senior Data Scientist (Sydney)
🏢 Microsoft
📍 Sydney