Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovatenew solutionsto complex problems? Do you jump with excitement at the opportunity toidentifytrends and provide unique business solutions? Do you want to join a team where learning abouta new technologyor solution is part of our work every day?Then, come join us!

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking toleveragethe latest technologies to address their toughest challenges.

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization.We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud.We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development ofbroadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring aSeniorData Scientistto help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services.Data scientistshavedata management andexpertisein developing statistical techniques to analyze data and find patterns.You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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 willacquirethe data necessary for your project plan and develop usable data sets for modeling.You’llalso update internal best practices for data collection andpreparation, andcontribute to data integrity conversations with customers.

• You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.You’llalso conduct thorough reviews of data analysis and modelingtechniques, andidentifyand invent new evaluation methods.

• You will research andmaintaina deep knowledge of the industry, including trends and technologies, so that you canidentifystrategy opportunities and contribute to thoughtleadershipbest practices.You’llalso write extensible code that spans multiplefeatures, anddevelopexpertisein proper debugging techniques.

• You will define business, customer, and solution strategy goals, and partner with other teams toidentifyand explore new opportunities.You’llalso apply a customer-oriented focus to understand theirneeds, andhelp drive realistic customer expectations.

• 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) 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) 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) OR equivalent experience., * 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) 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) 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 structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

ISEngineering

WSS