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Data Science - Forward Deployed Engineer: PhD Internship Opportunities

Microsoft Corp
  • Redmond, WA
  • $6,810–$13,480 Per Year
3 days ago

Job Description

Overview

Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential, and excitement for the journey ahead.

Microsoft Frontier Co. is a new line of business and one of the industrys first customer outcome-driven organizations, bringing together industry expertise, strategic partnerships and engineering as part of Microsoft Customer and Partner Solutions Its teams will work side-by-side with customers to co-design, deploy, and continuously improve AI systems that deliver measurable, customer-defined outcomes. The organization is built around end-to-end Frontier Transformation, helping customers turn AI into real, lasting business value. For those joining, its a chance to help build a new growth engine for Microsoft and shape how the industry moves from delivering technology to delivering outcomes.

Step into a role where your ideas spark innovation and your impact is felt every day. As part of Frontier Co, you will work with real-world datasets to develop scalable, production-ready solutions and run experiments that inform business strategy and customer outcomes. You will collaborate with global organizations across industries and apply current advances in artificial intelligence and data science to solve problems at scale.

As a Data Science PHD Forward Deployed Engineer Intern, you will develop models, evaluate results, and translate evidence into decisions that support measurable business outcomes. You will partner with engineers, product managers, and domain experts throughout the lifecycle from data discovery through deployed solutions. Join the team to help organizations realize greater value from their data.

At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. Youll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.

At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth‑mindset culture, we innovate responsibly and measure success by shared progress, people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.

Participation in this internship does not guarantee future employment. While successful interns may be considered for full-time opportunities, Microsoft is unable to sponsor a work visa for any full-time position associated with this internship due to the nature of the roles job duties.

Responsibilities

  • Prepare and assess data by using querying, visualization, and reporting techniques to identify key attributes, quality considerations, and project impact.

  • Develop, train, optimize, and evaluate models using appropriate statistical and machine learning approaches to address business objectives.

  • Design and analyze controlled experiments, communicate findings to stakeholders, and connect technical metrics with business outcomes.

  • Partner with engineering teams to operationalize models, supporting performance, scalability, monitoring, maintenance, and integration into production systems.

  • Collaborate with cross-functional partners to define evaluation metrics and improve artificial intelligence system and product performance.

Qualifications

Required/Minimum Qualifications

  • Currently pursuing a Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field, with at least one academic quarter or semester remaining after completion of the internship.
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship.
  • Candidate must be enrolled in a full time bachelors, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship.

Preferred Qualifications

  • 2+ years of programming experience in data science, machine learning, statistical computing, or a related technical area.

  • 1+ year of experience delivering data science or machine learning projects in collaborative, cross-functional teams.

  • 2+ years of experience developing and applying statistical methods, machine learning algorithms, data structures, or optimization techniques.

  • Coursework, research, or applied experience in machine learning, statistical modeling, experimentation, causal inference, data mining, databases, data engineering, or distributed systems.

  • Experience with SQL and programming languages commonly used in data science, such as Python, R, Java, Scala, C#, or similar.

  • Familiarity with data pipelines, large-scale data processing frameworks, model evaluation, telemetry systems, visualization or reporting tools, or cloud-based data and machine learning platforms.

  • Interest in large-scale data science, machine learning systems, experimentation, model optimization, data quality, and translating analytical findings into business and customer impact.

#FDE #MicrosoftFrontierCompany #EIP

The base pay range for this internship is USD $6,810.00 - $13,480.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,920.00 - $14,610.00 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-intern-pay

Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar

(September - April)

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.

Numbers & Facts

LocationRedmond, WA
IndustryComputer Software
Salary$6,810–$13,480 Per Year
Company Size10,000 employees or more
Year Founded1975
Websitehttp://www.microsoft.com

About Company

DO WHAT YOU LOVE
Make your mark on the world’s most used technologies. Develop the next hit mobile application. Pioneer a startup that could be the next big thing. At Microsoft, you choose your path.

Headquartered in Redmond, Washington, Microsoft is a top innovator in both the consumer and enterprise technology industry. Just a few of the many things our products do are unleash creativity, connect businesses, and make learning more fun. But our continued success is based on one thing: our employees. We hire amazing, talented people and give them the opportunities—and the tools—to succeed.

WHY MICROSOFT?
As a Microsoft employee, you’re surrounded by a diverse group of the smartest people in your field. This fosters new ideas, better business results, and creates a dynamic work environment. In the office, you’re constantly challenged and supported by your colleagues. Every day holds something new and exciting.

We also offer unparalleled depth and breadth of career opportunities. As an industry leader in multiple fields, working for Microsoft means being able to do whatever you feel passionate about—and being able to make an impact in that field. From day one, we give our employees significant responsibility. This means that you’ll know that you directly contributed to something that has a positive impact on people worldwide. Whether you choose to work in management, dive deep into the newest technology, or explore multiple professions, you’ll find everything you need at Microsoft to drive your career—and to make a difference.

WE GET IT – YOU’RE MORE THAN YOUR JOB
Everyone works differently and is motivated by different things. We also understand that there’s more to you than your job. That’s why we offer competitive pay and a wide assortment of benefits-- to help you make the most of life at work and away from it.

GET THE BALL ROLLING

Skills

  • Algorithmsunmatched
  • Alliance/Partner Managementunmatched
  • Analysis Skillsunmatched
  • Artificial Intelligence (AI)unmatched
  • Business Administrationunmatched
  • Business Strategyunmatched
  • Business Supportunmatched
  • Cloud Computingunmatched
  • Collaborative Learningunmatched
  • Communication Skillsunmatched
  • Computer Scienceunmatched
  • Continuous Improvementunmatched
  • Cross-Functionalunmatched
  • Customer Support/Serviceunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Miningunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Scienceunmatched
  • Data Setsunmatched
  • Data Structuresunmatched
  • Database Programmingunmatched
  • Distributed Computingunmatched
  • Econometricsunmatched
  • Economicsunmatched
  • Improvement Metricsunmatched
  • Javaunmatched
  • Leading Edge Technologyunmatched
  • Machine Learningunmatched
  • Mathematicsunmatched
  • Metricsunmatched
  • Microsoft C# (C Sharp)unmatched
  • Microsoft Product Familyunmatched
  • Microsoft Windows System Internals/Programmingunmatched
  • Operational Supportunmatched
  • Operations Researchunmatched
  • Performance Modelingunmatched
  • Problem Solving Skillsunmatched
  • Production Systemsunmatched
  • Programming Languagesunmatched
  • Python Programming/Scripting Languageunmatched
  • R Programming Languageunmatched
  • SQL (Structured Query Language)unmatched
  • Scala Programming Languageunmatched
  • Scalable System Developmentunmatched
  • Statistical Modelingunmatched
  • Statisticsunmatched
  • Technical Deliveryunmatched
  • Telemetryunmatched

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