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Microsoft

<div>Overview 
Cloud Operations + Innovation (CO+I) is the team behind one of the World&rsquo;s largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft&rsquo;s &ldquo;Cloud First&rdquo; mission. Our focus is on smart growth, high efficiency, and delivering trusted experience to customers and partners worldwide, and we are looking for passionate, high-energy Principal Data Scientist to help achieve that mission. 
 
If you want to have fundamental impact on how Microsoft&rsquo;s Cloud is deployed and operated globally, be involved with one of the most strategically important teams at Microsoft, and have strong technical and business acumen, leadership, creativity, and out-of-the-box thinking are some of the skills you bring to the table - this job is for you!
 
 
We are looking for an exceptional Principal Data Scientist to collaborate with our data science and engineering team to build solutions that improve our Data Center delivery cycle time. As a Principal Data Scientist, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision and partnering cross-functionally.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 
Responsibilities 
Responsibilities:<ul><li>
Lead end-to-end ownership of complex, ambiguous data science initiatives that drive measurable improvements to the global Data Center delivery lifecycle.</li><li>
Architect and deploy scalable statistical, optimization, and machine learning solutions in production to improve forecasting, planning, and operational efficiency.</li><li>
Translate advanced analytical insights into clear, actionable recommendations for senior leadership, influencing strategic and investment decisions.</li><li>
Partner cross-functionally across engineering, operations, supply chain, and finance teams to standardize data definitions and build durable, reusable data products.</li><li>
Establish best practices for experimentation, model validation, monitoring, and governance to ensure reliable and explainable solutions at scale.</li><li>
Mentor and provide technical leadership to other data scientists, raising the quality and impact of analytics across the organization.</li></ul> 
Qualifications 
Required Qualifications:<ul><li>
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis<ul><li>
OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis</li><li>
OR equivalent experience.</li></ul></li></ul>
Background Check 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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Statistics, Econometrics, Computer Science, Engineering, or related quantitative field AND 8+ years related experience, OR Doctorate AND 5+ years related experience, OR equivalent industry experience.</li><li>
Demonstrated experience leading large-scale, cross-functional analytics initiatives with measurable business impact.</li><li>
Deep expertise in statistical modeling, causal inference, forecasting, optimization, and machine learning techniques.</li><li>
Proven experience designing, deploying, and maintaining production-grade data science solutions in cloud or distributed environments.</li><li>
Advanced proficiency in Python and SQL, with experience building scalable data pipelines and model workflows.</li><li>
Strong executive communication skills with the ability to influence senior stakeholders and operate effectively in highly ambiguous environments.</li><li>
Experience building and operationalizing optimization, simulation, or large-scale forecasting models for infrastructure, supply chain, or complex operational systems.</li><li>
Demonstrated experience influencing data architecture, telemetry design, or platform strategy in partnership with engineering teams.</li><li>
Experience establishing experimentation frameworks, model governance standards, and model monitoring practices across teams.</li></ul>
#COICareers | #EPCCareers | #DCDCareers 
 
 
Data Analytics IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. 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 $165,600 - $272,300 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
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.</div>

Principal Data Scientist

<div>Overview 
Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge &amp; Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive!
MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced Principal Data Scientist to join our Growth and Analytics team.
Microsoft&rsquo;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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. 
Responsibilities 
<ul><li>
Partner with stakeholders as a trusted thought partner to drive data-informed business decisions and strategic planning.</li><li>
Collaborate with cross-functional teams to define features, estimate initiative impact, and support engagement and revenue growth through analytics.</li><li>
Build forecasting solutions and time-series models to project engagement, traffic, and revenue, and support scenario planning.</li><li>
Analyze large-scale data to identify trends, user behavior patterns, and content performance insights that improve product quality and recommendations.</li><li>
Develop dashboards, reporting tools, and automated monitoring to track business health and compare actual performance against forecast.</li><li>
Build metric frameworks to detect anomalies, diagnose root causes, and provide timely insights when key business metrics shift.</li><li>
Conduct business modeling to identify growth opportunities, evaluate trade-offs, and prioritize initiatives with solid long-term ROI.</li><li>
Design and analyze A/B tests to measure incremental impact, evaluate algorithm changes, and guide iterative improvements.</li><li>
Apply predictive modeling, time-series analysis, and experimentation methods to improve forecasting accuracy and business performance.</li><li>
Communicate insights, forecasts, and recommendations clearly to technical and non-technical stakeholders to support informed decision-making.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
Doctorate 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)<ul><li>
OR Master'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)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li></ul></li></ul> 
Preferred Qualifications:<ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li></ul></li><li>
7+ years of experience in data science, statistical modeling, business analytics, forecasting, or data-driven strategy.</li><li>
Experience in product, web, and/or content analytics, with the ability to connect user behavior to business outcomes.</li><li>
Solid communication and storytelling skills, with the ability to translate complex analyses into clear business recommendations.</li><li>
Proven ability to manage stakeholders, prioritize effectively, and deliver actionable, data-driven insights.</li><li>
Experience working with large-scale event-level data and transforming raw data into metrics, dashboards, and analytical solutions using PySpark, Scala, or similar tools.</li><li>
Familiarity with content ecosystems, advertising, online shopping metrics, and the key drivers of engagement and monetization.</li></ul> 
#MicrosoftAI 
 
 
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. 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 $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
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.</div>

<div>Overview 
Microsoft Advertising empowers the world&rsquo;s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Applied Data Scientist to join our dynamic team. The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities.
Microsoft&rsquo;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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. 
Responsibilities 
<ul><li>
Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.</li><li>
Review business requirements and incorporate research to meet business goals.</li><li>
Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li></ul>
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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul> 
Preferred Qualifications:<ul><li>
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li><li>
3+ years experience conducting research as part of a research program (in academic or industry settings).</li><li>
1+ year(s) experience developing and deploying live production systems, as part of a product team.</li><li>
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</li><li>
Experience with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs.</li></ul> 
#MicrosoftAI 
 
 
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
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.</div>

Senior Applied Data Scientist

<div>
 
 Overview
 
 
 
 The Bing organization is looking for a Data and Applied Scientist for its online metric team. The team is pushing the boundaries regarding online A/B experimentation capabilities and methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences, and then translates the insights into actionable metrics. These metrics provide direction to the the Bing and MAI organization and help engineers make the right ship decisions for their thousands of online controlled experiments.
 
 
 Hundreds of millions of users visit Bing.com worldwide monthly, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is a great opportunity to make solid, and even multiplicative impact on the org.
 
 
 As a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments. Come join us!
 
 
 Microsoft&rsquo;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.
 
 
 Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, analyze, and interpret A/B online experiments to evaluate user engagement and generate actionable, trustworthy insights that inform product decisions.
 </li>
 <li>
 Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
 </li>
 <li>
 Develop and monitor key success metrics to measure and improve Bing customer satisfaction, engagement, and retention.
 </li>
 <li>
 Formulate data-driven strategies to understand correlations among critical Bing metrics and deliver clear, rigorous ship decisions.
 </li>
 <li>
 Effectively communicate analytical methodologies, data visualizations, and evidence-based recommendations across cross-functional teams to drive alignment and impact.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
 </li>
 <ul>
 <li>
 OR Master's Degree 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 consulting experience
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 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)
 </li>
 <ul>
 <li>
 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)
 </li>
 <li>
 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)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Experience with SQL-like query languages.
 </li>
 <li>
 Hands on experience in design &amp; problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ .
 </li>
 <li>
 Ability to work independently, influence others, and solid communication and collaboration skills.
 </li>
 <li>
 Familiarity with search engines, dealing with online instrumentation.
 </li>
 <li>
 Experience with large datasets and interest in consumer online search behaviors.
 </li>
 <li>
 Experience with building machine learning models on large scale data.
 
 </li>
 </ul>
 #MicrosoftAI #Search #MAI #nextplay
 
 
 Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. 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 $131,400 - $215,400 per year.
 
 
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 
 
 https://careers.microsoft.com/us/en/us-corporate-pay
 
 
 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.
 
</div>

Data Scientist

<div>Overview<div> 
Microsoft Teams is the hub for teamwork that brings together people, content, and tools to drive productivity and engagement. As part of Microsoft&rsquo;s modern work, life, and education vision, Teams is transforming how people communicate and collaborate globally.
We are seeking a Principal Applied Scientist to join the Enterprise Voice Calling team within the Teams Calling, Meeting &amp; Devices group. This role is ideal for someone passionate about building intelligent, scalable, and secure voice communication experiences powered by cutting-edge AI.
Microsoft&rsquo;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.</div> 
Responsibilities 
<div><ul><li>
Collaborate with cross-functional teams including product managers, engineers, and researchers to design and deliver next-generation voice calling experiences.</li><li>
Apply and fine-tune large foundation models to enhance real-time voice communication, transcription, and summarization.</li><li>
Lead prompt engineering efforts to optimize generative AI capabilities for enterprise-grade calling scenarios.</li><li>
Drive innovation for Microsoft Copilot and other AI-powered features within Teams Calling.</li><li>
Analyze user behavior and system performance to identify opportunities for improvement and personalization.</li><li>
Contribute to the development of scalable machine learning pipelines and experimentation frameworks.</li><li>
Mentor junior scientists and engineers, fostering a culture of technical excellence and growth.</li></ul></div> 

Qualifications 
Required Qualifications:<div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li></ul></div><div> 
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:<div><ul><li>
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li><li>
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li><li>
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li><li>
5+ years experience conducting research as part of a research program (in academic or industry settings).</li><li>
3+ years experience developing and deploying live production systems, as part of a product team.</li><li>
3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</li><li>
5+ years of experience in applied machine learning or AI, preferably in voice or communication technologies.</li><li>
Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and cloud platforms (e.g., Azure).</li><li>
Experience with foundation models, prompt engineering, and generative AI.</li><li>
Proven track record of delivering production-grade ML solutions.</li><li>
Experience in real-time voice processing, speech recognition, or NLP.</li><li>
Familiarity with enterprise communication systems and security requirements.</li><li>
Solid collaboration and communication skills across discipline.</li></ul></div></div> 
 
 
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. 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 $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
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.</div>

Principal Applied Scientist

<div>Overview<div> 
The IDEAS team (Insights, Data, Employee Experience, Agents, and Science), is one of the largest data science groups at Microsoft, our team plays a key role in providing data and analytics for M365 and owns the end to end ML and decision sciences charter. By joining our team, you will be at the heart of data, insights, machine learning, AI, and technology, lighting up actionable insights that drive key business decisions for the entire M365 organization. 
 
As a Senior Applied Scientist in IDEAs team, you will be bringing relevant data into a central systems to create the single version of truth and perform opportunity analysis and hypothesis generation for stages throughout the end-to-end customer lifecycle. This opportunity will allow you to gain experience in designing, prototyping, implementing and testing descriptive, predictive analytics, forecasting, causal inference models and also thrive in a team environment that values cross team collaboration and building on the success of others.
Microsoft&rsquo;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.</div> 
Responsibilities 
<div><ul><li>
You will build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance.</li><li>
As you identify and explore opportunities for the application of machine learning, AI and predictive analysis, you will partner with teams across product, marketing, sales and engineering teams.</li><li>
You will work with engineers to architect and develop operational models that run at scale.</li><li>
You will communicate with technical and non-technical audiences, and contribute with your modeling experience as a team player.</li><li>
You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results.</li></ul></div> 

Qualifications 
Required Qualifications:<div><ul><li>
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)<ul><li>
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)</li><li>
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)</li><li>
OR equivalent experience.</li></ul></li></ul></div>
Other Requirements:<ul><li>
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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul></li></ul>
Preferred Qualifications:<div><ul><li>
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)<ul><li>
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)</li><li>
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)</li><li>
OR equivalent experience.</li></ul></li><li>
4+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.</li><li>
1+ years experience on large scale computing systems like COSMOS, Hadoop, Spark, Flink, MapReduce and/or similar systems.</li><li>
Familiarity with deep learning toolkits, e.g. CNTK, PyTorch.</li></ul>
#DPG
#IDEAS
#DPGHiring</div> 
 
 
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
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.</div>

Senior Applied Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Leo is Amazon&rsquo;s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. 
 
Key job responsibilities 
<ul><li>Solve large scale and complex optimization problems for operating satellite constellations</li><li>Work with our peer teams and customers to design suitable software systems to fulfill the mission needs.</li><li>Write code for production cloud native software systems in Java and Python.</li><li>Utilize AWS and other Amazon technologies to build high-available software services.</li><li>Help on-board and mentor new team members.</li><li>Lead technical roadmap definition efforts and decide what software services to build.</li></ul> 
Export Control Requirement 
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. 
 
A day in the life 
As a Senior Applied Scientist, you will play a crucial role in the development of services to support the automation of the Leo mission. You will work with a dynamic group of passionate engineers and collaborators across peer teams to identify automation needs, design novel solutions that meet customer requirements, and write software to automate key behaviors for our constellation's space and ground assets. You will be building low-latency, highly-scalable architecture to generate and execute our mission plans safely and effectively. 
 
About the team 
The team builds software which supports the automated planning and execution of satellite activities, empowering humans to automate key tasks and take themselves out of the loop as we scale the Leo constellation. We own services that model spacecraft behaviors, predict future vehicle state, capture operational constraints on our system, and generate mission schedules that serve our customers while preserving vehicle health and safety.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Master's degree</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of mathematics optimization such as linear programming and nonlinear optimization experience</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Redmond - 167,100.00 - 226,100.00 USD annually</div>

Sr. Applied Scientist, Leo Autopilot

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