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Microsoft Senior Data Scientist United Kingdom 852164344
10.12.2024
You will work with diverse data sets, apply advanced statistical and computational techniques, and communicate your findings and recommendations to various audiences. You will also collaborate with Microsoft engineering teams to provide feedback and insights on Microsoft products and solutions. You will uphold the highest standards of ethics, privacy, and trustworthiness in your work.
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 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 data-science experience (e.g., managing structured and unstructured data, applying statistical technology
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field data-science experience (e.g., managing structured and unstructured data, applying statistical technology
- OR equivalent experience.
- Customer-facing, project-delivery experience, professional services, and/or consulting experience.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Extensive data science experience, including managing structured and unstructured data, applying statistical techniques, and reporting results.
- Proficiency in geospatial data analysis tools and frameworks (e.g., ArcGIS, QGIS, GDAL, GeoPandas) and knowledge of geospatial data formats, standards, protocols, and methods.
- Programming skills in languages such as Python, R, C#, or Java, along with experience in software development techniques like CI/CD, Docker, or REST API.
- Expertise in data science tools and frameworks (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Hadoop, Spark, Delta Lake, MLflow, TensorFlow) and deployment technologies (e.g., Azure ML, Kubernetes, Azure Functions).
This role will require UK security clearance. Applicants must also be willing to undergo security clearance checks by the UK Government.
Responsibilities
- Understand the business objectives and challenges of customers and partners and formulate data-driven solutions.
- Acquire, prepare, and analyse data from various sources, ensuring data quality and integrity.
- Select and apply appropriate machine learning models and algorithms to address specific problems and scenarios.
- Train, optimize, evaluate, and deploy machine learning models at scale, using Microsoft tools and frameworks.
- Present and explain the results and implications of data analysis and modeling to senior customer stakeholders.
- Research and keep up with the latest industry trends, technologies, and advances in data science, machine learning, and artificial intelligence.
- Collaborate with Microsoft program managers, engineers, and cross-functional teams to deliver high-quality solutions and customer satisfaction.
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