Key Skills

Job Description

Overview This posting is internal only and only open to employees already working within the Frontier Company organization. In the Microsoft Frontier Company, you won’t just build software; you’ll deliver real outcomes for some of the world’s most complex organizations. 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. As a Principal 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. Our work is powered by AI, applying the mindset and tooling across the entire development lifecycle to move from idea to production in days while maintaining the highest standards of security, quality, and trust. This Role Offers The Opportunity To Work with messy, real-world datasets and turn them into scalable, production-ready solutions Run experiments that directly influence business strategy and customer outcomes Collaborate with leading global organizations across industries Apply the latest advancements in AI and data science to solve problems at scale 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. Responsibilities You will oversee acquisition of the data sets necessary for your project delivery and ensure data is properly formatted and described. You will address any gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation. 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. 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 in best practices. You’ll also write extensible code that spans multiple features and develops expertise in proper debugging techniques. You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also commit to a customer-oriented focus by acknowledging their needs and offering customer pragmatic solutions that align with their data capabilities. As the expert data scientist, you will also coach engineers and cross-disciplinary partners in data science best practices and scale knowledge within the cross discipline team. Qualifications Required/Minimum Qualifications (RQs/MQs) Doctorate 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) OR Master'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 structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Core Responsibilities

Lead data acquisition, preparation, analysis, experimentation, and model development, evaluating solutions against business outcomes and deploying scalable operational models. Set data science and customer solution strategy, uphold ethical and privacy practices, collaborate with multidisciplinary teams, and coach partners in data science best practices.

Requirements

Requires a doctorate with at least 5 years of data science experience, a master's degree with at least 7 years, a bachelor's degree with at least 10 years, or equivalent experience. Candidates must also have experience partnering directly with customers or internal stakeholders to deliver end-to-end solutions.