applied ai engineer ii

data engineer ii

regulatory and data coordinator i Jobs in Redmond

regulatory and data coordinator i

ai software engineer ii

applied scientist

data scientist ii

Microsoft

<div>Overview 
Microsoft&rsquo;s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP&rsquo;s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries. We are looking for a Data Scientist II to join our team! 
 
Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business. 
 
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. 
Responsibilities 
Business Impact
<ul><li>Understands customer goals, project requirements, and how data structures support business strategy.
</li><li>Supports project scoping, risk assessment, and planning while learning to identify opportunities for ML impact.
</li><li>Contributes insights from analyses that inform decisions and align with customer and organizational objectives.
</li><li>Applies a customer‑focused mindset when evaluating work, ensuring clarity in expectations, timelines, and value delivered.
</li></ul>Coding &amp; Debugging<ul><li>
Writes clear, maintainable code for features or models.
</li><li>Contributes to testing, optimization, and debugging.</li><li>
Helps document production‑ready code.</li></ul> 
Customer &amp; Partner Orientation<ul><li>
Applies customer‑focused thinking to data science work.
</li><li>Manages expectations on progress and timelines.
</li><li>Supports interpretation and communication of results.</li></ul> 
Data Preparation and Understanding<ul><li>
Assists with data collection, exploration, and quality checks.</li><li>
Cleans, transforms, and organizes data using appropriate tools.
</li><li>Follows privacy and ethics policies while identifying data issues.</li></ul> 
Evaluating for Insight &amp; Impact
<ul><li>Understands how model outputs relate to business goals.</li><li>
Helps test and evaluate models using real and test data.
</li><li>Reviews analysis choices and incorporates feedback.</li></ul> 
Modeling &amp; Statistical Analysis
<ul><li>Learns and applies core modeling techniques.</li><li>
Supports research, prototyping, and productization of ML/AI methods.</li></ul> 

Qualifications 
<ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 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 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) OR equivalent experience.</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: 
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:<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) 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.
</li><li>4+ years of coding experience with Python OR R (Python Preferred)&ndash; (1,000 or more lines of code)</li><li>
Experience with large-scale parallel computing, PySpark and SparkR (or similar) strongly preferred.
</li><li>Prior experience using git (or similar) as a shared code repository for large projects preferred.</li><li>
Experience with Azure or similar cloud solutions preferred.
</li><li>Experience with forecasting, optimization, generative AI, or agentic AI strongly preferred.</li><li>
Strong background in statistical methods, data analysis and machine learning preferred</li></ul>
#CSCP #CSCPJobs
At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you're passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you. 
 
 
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.</div>

Data Scientist II

Nintendo

<div>Nintendo Technology Development

The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch&trade; system and the Nintendo 3DS&trade; family of portable systems. Since 1983, when it launched the Nintendo Entertainment System&trade;, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy&trade;, Game Boy Advance, Nintendo DS&trade; family of systems, Super NES&trade;, Nintendo 64&trade;, Nintendo GameCube&trade;, Wii&trade; and Wii U&trade; systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pok&eacute;mon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies.

Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other.
<div>
<div><div><div>DESCRIPTION OF DUTIES</div>
<ul><li>Train, evaluate, and optimize neural networks</li>
<li>Write scripts to facilitate neural network model development and use</li>
<li>Procure and clean data necessary for training and evaluating models</li>
<li>Effectively communicate with other teams, especially as it relates to domain-specific knowledge, model quality, and model performance</li>
<li>Document work according to defined processes</li>
</ul></div></div></div><div><div><div><div>SUMMARY OF REQUIREMENTS:</div>
<ul><li>3+ years of professional experience as a data scientist</li>
<li>3+ years of professional experience working with deep learning libraries (PyTorch and/or TensorFlow)</li>
<li>Proficient in Python</li>
<li>Possess strong debugging and troubleshooting skills</li>
<li>Familiar with Git workflow</li>
<li>Experience with C, C++, or C# is a plus</li>
<li>BS in CS/Applied Mathematics/Statistics/DS/ML or related field</li>
</ul> <div>This position is onsite in Redmond, WA, and not open to remote status at this time.</div></div></div></div></div>

CONTRACT - Engineer, Data Scientist (NTD)

<div>Overview 
We&rsquo;re building a Frontier Marketing organization where the Media Data Science &amp; Analytics team leads the way in transforming how Microsoft measures, analyzes, and optimizes media and digital experiences. Our team blends advanced analytics, experimentation, and AI-powered insights to drive smarter decision making and measurable business outcomes across paid media and owned digital properties. We operate with agility, prioritize outcomes over activity, and embrace rapid learning loops to unlock deeper audience understanding, maximize impact, and accelerate innovation in media and discovery strategy. 
To support this transformation, we are seeking a Senior Data Scientist to lead advanced experimentation and causal inference efforts that enable rigorous campaign measurement and drive data-informed marketing decisions at scale. In this role, you'll directly support Microsoft's mission by enabling data-driven marketing decisions that drive customer engagement and revenue growth. Shape What You Will Do As a Senior Data Scientist on the Media Data Science and Analytics team, you will design and implement advanced experimentation frameworks including Bayesian hypothesis testing, causal inference modeling, and heterogeneous treatment effect analysis, while building and deploying Machine Learning (ML) models and data pipelines to support portfolio impact measurement and campaign analytics at scale. This will include developing solutions that are reusable, readily discoverable by decision makers, and self-service oriented, driving meaningful interpretation of data, and supporting campaign optimization. 
This candidate thrives in fast-paced environments, demonstrates comfort with ambiguity, and collaborates effectively across teams and functional boundaries. Curiosity, a bias for action, and the ability to balance business context with technical experience are essential. In this role, you will support the rhythm of business by providing actionable recommendations to stakeholders based on rigorous analysis and clear insights. You will leverage statistical and machine learning techniques to develop scalable, efficient, and impactful data products while also diving deep into the details to uncover the story behind the data. You will bring sharp analytical thinking, communication skills, and the confidence to engage with executives and stakeholders across the business. 
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.
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 
<ul><li>
Experimentation and Causal Inference Design and implement advanced experimentation frameworks including Bayesian hypothesis testing and causal inference modeling.</li><li>
Develop heterogeneous treatment effect analyses to understand differential campaign impacts across customer segments.</li><li>
Establish clear linkage between A/B test results and desired business outcomes.</li><li>
Assess the degree to which campaigns meet business objectives and address gaps.</li><li>
Ensure alignment on definitions and standards across stakeholders.</li><li>
Define, design, and promote appropriate feedback and evaluation methods. Present results and findings to senior stakeholders.</li><li>
Build and deploy ML models to support portfolio impact measurement and campaign analytics at scale.</li><li>
Develop and maintain data pipelines that enable scalable, automated analysis.</li><li>
Evaluate the viability of automated methods for data collection, reporting, and analysis.</li><li>
Ensure solutions are reusable, easily discoverable, and self-service oriented.</li><li>
Identify and promote methods that enhance efficiency in analytics and reporting.</li><li>
Drive meaningful data interpretation to inform business decisions and shape organizational understanding through compelling storytelling.</li><li>
Recommend and socialize optimal methods for operationalizing, sharing, and scaling insights.</li><li>
Share knowledge and practical rationale for transitioning ad-hoc analyses to regular reporting features.</li><li>
Share domain knowledge to create clarity and ensure readiness to leverage data and insights effectively.</li><li>
Orchestration and Collaboration Leverage working relationships within and across teams to ensure alignment and quality execution.</li><li>
Drive the adoption of recommended data sources and analysis practices.</li><li>
Consult across teams and influence data strategy, experimentation culture, and measurement frameworks on decisions related to data sourcing, analyses, and interpretation of results.</li><li>
Coach and mentor less experienced analysts, as needed, and enable cross-functional partners to become data-savvy.</li><li>
Share insights and analytical experience through various means, including dashboards, reports, and visualizations.</li><li>
Synthesize and simplify details across analyses to highlight relevant findings. Identify opportunities to improve the efficiency of insights reporting techniques.</li><li>
Guide others and establish partnerships with stakeholders to ensure results are accessible and relevant.</li><li>
Embody our Culture and Values</li></ul> 

Qualifications 
Required/minimum qualifications<ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) experience in data science, applied statistics, machine learning, or quantitative research</li><li><ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li>
OR equivalent experience.</li></ul></li></ul> 
Additional or preferred qualifications<ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li><ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li>
OR equivalent experience.</li></ul></li></ul><ul><li>
4+ years of experience with Python or R for statistical analysis and machine learning.</li><li>
4+ years of experience with SQL and data pipeline development.</li><li>
3+ years of experience designing and analyzing A/B experiments or causal inference studies.</li><li>
2+ years of experience with Bayesian methods, causal inference techniques (e.g., difference-in-differences, instrumental variables, propensity score matching), or heterogeneous treatment effect estimation.</li><li>
2+ years of experience building and deploying ML models.</li><li>
4+ years of experience presenting complex technical findings to both technical and non-technical senior level stakeholders.</li><li>
Experience with marketing mix modeling (MMM) or attribution modeling.</li><li>
Experience with cloud-based ML platforms (e.g., Azure ML, Databricks).</li><li>
4+ years' experience analyzing marketing campaign performance.</li><li>
Experience with Microsoft Fabric, Power BI, or similar visualization platforms.</li></ul> 
 
 
Data Science 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 Data Scientist

<div>Overview 
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are looking for a senior applied scientist to join and shape the research and product roadmap for the team in this space.
We are looking to hire a Applied Scientist - Security Research, you will have the opportunity to design and lead the implementation of advanced security solutions, leveraging cutting-edge machine learning and data-driven approaches to protect millions of users worldwide. You will collaborate with people at the forefront of their field from across the organization and see your ideas turn into reality with real-world impact at Microsoft scale. This is a hands-on role.
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. 
Responsibilities 
<ul><li>
Model development &amp; optimization. Design, develop, fine‑tune, and evaluate models, summarization, and reasoning</li><li>
Data &amp; evaluation at scale. Build/extend data pipelines for curation/labeling/feature stores; author offline eval harnesses; run A/Bs; define guardrails and success metrics.</li><li>
Production ML engineering. contribute to service code and configs; add monitoring, tracing, dashboards, and auto‑scaling; participate in on‑call and postmortems to improve live‑site reliability.</li><li>
Collaboration &amp; mentoring. Partner across PM/ENG/Research teams and beyond; identify AI technologies to create an adaptive and scalable solution to provide protection for our customers, share methods and code, review PRs, improve reproducibility and documentation; mentor junior scientists.</li><li>
Prototype end to end solutions (working in partnership with other stakeholders) to quickly prove out emergent technologies.</li><li>
Seek out experts across Microsoft and industry to learn about potential solutions and bring back the best and most relevant to solve our most critical problems.</li><li>
Serves as a subject matter expert by owning models and participate in oncall</li><li>
Let a deep empathy for customers guide you to improvements that make a tangible difference.</li></ul> 

Qualifications 
Required/minimum qualifications<ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field</li><li>
OR equivalent experience.<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:<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>
Additional or preferred qualifications<ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) 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)<ul><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><li>
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).</li></ul><ul><li>
1+ years experience bringing new technology and approaches into production by applying long-term research efforts to solve immediate product needs.</li><li>
4+ years applied ML/NLP experience delivering models and features to production at scale.</li><li>
Languages and Technology - Python, R, C, SQL, Kusto / Azure Data Explorer, Power BI</li><li>
Experimentation &amp; evaluation: sound experimental design, metric design (quality, safety, latency, cost), and statistical analysis; experience running A/B tests.</li><li>
Proven collaboration with partners and stakeholders to integrate ML into shipped product and to drive measurable business impact.</li><li>
Experience with fraud/security a plus</li><li>
Experience with developing Agentic AI (Artificial Intelligence) in a COGS (Cost of Goods Sold) efficient manner</li><li>
Experience working across multiple product teams to deliver combined innovations and features and representing innovative work across the greater organization and/or the industry</li><li>
Able to deliver impact through collaborative work across organizational boundaries and thrive in an agile environment balancing committed work with emerging innovative solutions</li><li>
Model serving/inference (e.g., ONNX Runtime, vLLM, Triton, quantization, distillation, caching, dynamic batching, rate limiting).</li><li>
Experimentation: A/B &amp; interleavings, guardrail metrics (quality/safety/latency/cost), sequential testing, eval governance.</li></ul></div></li></ul></li></ul> 
 
 
Applied Sciences 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.</div>

Applied Scientist - Security Research

<div>Overview 
We&rsquo;re hiring a Senior Applied Scientist with expertise in natural language processing (NLP), deep learning, and Ads recommender systems in Redmond, WA or Mountain View, CA.
In this role, you will design and implement cutting-edge machine learning models and algorithms that power relevance systems across all surfaces for Microsoft Ads and Shopping including Bing, Copilot, and beyond.
You will have a direct impact on millions of users and advertisers, delivering scalable solutions to enhance ad relevance and optimize user experiences. This role is part of Microsoft Artificial Intelligence (MAI)-Ads Engineering and is responsible for the end-to-end relevance problem for our ads and shopping products.
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>
Own high‑impact and open-ended relevance problem areas across Product Ads and Shopping including providing strategic direction to solve problems and applying deep subject matter knowledge to support business impact.</li><li>
Drive algorithmic and modeling improvements to the system using primarily deep learning techniques from NLP and computer vision, including latest LLM models, to deliver clear and measurable product impact</li><li>
Exercise solid technical judgment on metrics, evaluation strategies, and tradeoffs optimizing for overall product ROI rather than isolated metrics.</li><li>
Act as a technical leader and mentor, providing design reviews and documenting to share modeling guidance and evaluation best practices for other applied scientists to promote innovation.</li><li>
Collaborate deeply across disciplines (Engineering, PM, Research, Data Science), translating scientific intent into production‑ready systems and constraints.</li><li>
Operate with high independence and accountability, anticipating risks, planning for unknowns, and requiring minimal oversight to deliver sustained impact at scale.</li><li>
Use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
Bachelor's Degree in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)<ul><li>
OR Master's Degree in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR Doctorate in Data Science, Machine Learning, Statistics, Computer Science 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>
Preferred Qualifications:<ul><li>
Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) 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)<ul><li>
OR equivalent experience.</li></ul></li><li>
4+ years working experience in statistical natural language processing (NLP) with the latest deep learning technologies including transformer and LLMs OR 4+ years working experience in Computer Vision (CV) with latest deep learning technologies including Vision Transformers.</li><li>
4+ years working experience with coding in production systems using C++, C#, Java or Python.</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 Scientist

<div>Overview 
With continued growth in digital data and the desire to leverage data to address problems that touch all aspects of our lives, Microsoft&rsquo;s AI Platform is growing to meet these challenges! The AI Platform is hiring experienced engineers to join agile and diverse engineering teams in MAI.
As an Applied Scientist in MAI, you would be responsible for data analysis, training and building models and shipping to production high quality experiences improving Bing products. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your selling skills, and become adept at deal structuring.
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>
You will gain a basic understanding of a broad area of research and applicable research techniques. You&rsquo;ll also develop a basic knowledge of industry trends and share your knowledge with immediate team members.</li><li>
You will apply strategies provided by senior team members. Following guidance from team leaders you&rsquo;ll also research relevant tools and technologies being used in the community.</li><li>
You will reinforce a positive environment by learning and adopting best practices. And you will maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked.</li><li>
You will assist with documentation for senior team members, as needed. You&rsquo;ll also learn and follow ethics and privacy policies while executing research processes or collecting information.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field</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> 
#MicrosoftAI 
 
 
Applied Sciences 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.</div>

Applied Scientist

SpaceX

<div>
 SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
 
 
 
 DATA ENGINEER (STARLINK GROWTH)
 
 
 
 At SpaceX, we are leveraging our experience in building rockets and spacecraft to deploy Starlink, the world&rsquo;s most advanced broadband internet system. Starlink is the world&rsquo;s largest satellite constellation and is providing fast, reliable internet to 8M+ users worldwide. We design, build, test, and operate all parts of the system &ndash; thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We&rsquo;ve only begun to scratch the surface of Starlink&rsquo;s potential global impact and are looking for best-in-class engineers to rapidly accelerate our growth around the globe.
 
 
 As a Data Engineer in the Starlink Growth Analytics &amp; Automation Team, you will be responsible for developing the strategy, key metrics, tools, models, and processes for assessing the health of Starlink business. You will extract valuable insights from data across all business units and the Starlink network itself. You will work closely with technical and business teams to make customer acquisition as efficient as possible. You will bring in the latest and greatest machine learning and statistical technologies to turn data insights into action and autonomous applications.
 
 
 
 Responsibilities
 
 
 
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 Build high-visibility, high-confidence, statistically-based dashboards and analytics tools to uncover new or breaking trends in customer growth or experience.
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 Transform insights into action items for business and engineering teams, based on statistically-driven evidence.
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 Develop and implement monitoring systems and strategies to quickly detect trends and regressions as they arise.
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 Work closely with software and production teams to optimize user experience.
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 Develop and validate models to forecast customer acquisition.
 
 
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 </ul>
 
 Basic Qualifications
 
 
 
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 Bachelor&rsquo;s degree in computer science, physics, mathematics, statistics, or a STEM discipline
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 1+ years of professional experience building solutions with Python and SQL
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 1+ years of professional experience with statistical modeling and machine learning algorithms
 
 
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 </ul>
 
 Preferred Skills And Experience
 
 
 
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 1+ years of professional experience in analytics, data science, or machine learning
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 Experience building predictive models and machine learning pipelines (clustering analysis, anomaly detection, survival analysis, time series models)
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 Experience with data visualization skills, including experience in geospatial data representations
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 Excellent verbal and written communication skills
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 Experience with developing and deploying tools used for data analysis, machine learning, and statistical modeling
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 Demonstrated capability to parse technical subjects on a deep level
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 Demonstrated ability to jump into ill-defined problem spaces and drive positive outcomes
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 Self-starter attitude, energy, and the ability to communicate effectively across business and technical disciplines
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 Experience designing and utilizing relational database (SQL)
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 Background in statistics or computational physics
 
 
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 </ul>
 
 Additional Requirements
 
 
 
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 Must be willing to work extended hours and weekends as needed
 
 
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 Compensation And Benefits
 
 
 
 Pay range:
 
 
 Level I: $122,500.00 - $145,000.00/per year
 
 
 Level II: $140,000.00 - $170,000.00/per year
 
 
 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
 
 
 Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.
 
 
 
 Itar Requirements
 
 
 
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 To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
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 1157, or (iv) Asylee under 8 U.S.C.
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 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 
 
 </li>
 </ul>
 SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
 
 
 Applicants wishing to view a copy of SpaceX&rsquo;s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com
 
 .
 
</div>

Data Engineer (Starlink Growth)

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