Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders. Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Collaborates with others to perform data-science experiments using established methodologies and tools. Designs experiments, ana…
Responsibilities
Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity. Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems.
Required Qualifications
Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field, with proven 4 years of data science experience in business context. Be able to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges. Hands-on software engineering experience (e.g. Python, Scikit, PyTorch,C++) with main established data science frameworks. Familiarity with building and deploying largescale AI solutions into production within a cloud environment Experience dealing with internal and external stakeholders on large, complex projects.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page