Senior Data Scientist

Overview

As a Senior Data Scientist, you will use your expertise in data science, machine learning, and artificial intelligence to solve real-world problems for customers. You will have the opportunity to impact both Microsoft’s strategy and the world-wide mission of one of the largest and most forward-leaning customers. The customer’s scenarios will be lighthouses for their markets and present an opportunity for Azure and Microsoft to learn and grow, create transformative technology offerings, and advance competitive advantages.

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.

This role is fully remote, and successful candidates can be located anywhere within the United Kingdom (UK). Travel would eventually be 10-20% and the role requires the ability to work with clients remotely.

Our team values collaboration, craftsmanship, and continuous learning. As a member of the team, you will be able to shape and grow a positive and productive engineering culture.

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.

Qualifications

Required Qualifications: 

Doctorate, Master's, or Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field, or equivalent experience. Doctorate or Masters of data science experience, including managing structured and unstructured data, applying statistical techniques, and reporting results. Experience with geospatial data analysis tools and frameworks, such as ArcGIS, QGIS, GDAL, or GeoPandas, and knowledge of geospatial data formats, standards, protocols, and methods. Proficiency in data science experimentation methods, such as cross validation, regularization, encoding, or activation functions.

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.

Additional / Preferred Qualifications: 

This role will require UK security clearance. Applicants must also be willing to undergo security clearance checks by the UK Government.
In depth experience in programming languages, such as Python, R, C#, or Java, and software development techniques, such as CI/CD, Docker, or REST API.
Proficiency in data science tools, deployment technologies, and frameworks, such as Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Kubernetes or Azure Functions, Hadoop, Spark, Delta Lake, MLflow, or TensorFlow.
Proficiency in communicating with clarity and impact, such as influencing others, oral communication, storytelling, technical communication, or written communication.

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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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect