Data and Applied Scientist Job at Microsoft Corporation (Redmond)

Data and Applied Scientist

Cloud Operations + Innovation (CO+I) is the organization behind one of the world...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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
Ability to meet Microsoft, customer and/or government security screening requirements
Pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Build scalable data assets (dashboards, underlying data models, and workflows) to provide reliable and high velocity decision support
Oversee the lifecycle of analytics artifacts from data analysis, creation to deployment, and ensure robustness and scalability
Assist with extract transform load (ETL), address data quality issues, apply the right analysis techniques and leverage the right data exploration technologies and tools
Build end-to-end Business Intelligence (BI) Solutions: Own business customer relationship, BI reporting, Data Quality/Security aspects by adopting standard architectural standards
Apply statistical methods, causal inference, and machine learning to inform data center business decisions, and optimize our processes and systems
Deeply understand the data center delivery cycle and underlying data to support leadership and stakeholders make data-driven decisions and continuous process improvements
Partner closely with cross functional stakeholders to build and deliver world-class support and data insights
Guide business leaders with confidence in your analytics and reporting to ensure smooth execution
Collaborate with stakeholders to take an ambiguous business problem statement, refine the scope, conduct the analysis, and use the results to drive informed decisions
Summarize and clearly communicate data analysis assumptions and results

Fulltime

Data and Applied Scientist

Are you passionate about Cloud Computing technology and driving growth in one of...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
Excellent communication and leadership skills to drive projects and build buy-in and support.
Demonstrated experience leading and managing a business-critical function.
Technical certifications relevant to data analysis/BI
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Build and maintain ADO pipelines, maintain Azure Assets (subscription, blob storage, SQL database, key vault, etc.) in a secure and compliant manner
Connect to and build APIs for turning data science models into a full production system
Ability to develop and productionize E2E models in Python – including data manipulation, model building and business applications
Apply expertise in quantitative analysis, data mining, and the presentation of data to develop demand forecasting models
Embody our Culture and Values

Fulltime

Senior Applied Scientist and Principal Applied Scientist

The Core AI Speech Group brings together talents in the areas of signal processi...

Location

United States , Redmond

Salary:

119800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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) 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) 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) OR equivalent experience
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

Job Responsibility

Developing novel speech algorithms to advance state-of-the-art speech technologies for real world user scenarios, especially in integrating speech with LLM for multimodal modeling
Helps address scalability problems by adjusting to stakeholder needs
Works with large-scale computing frameworks, data analysis systems, and modeling environments to improve models
Applies the model to real products, and then verifies effects through iterations
Experiments by putting multiple models in production and evaluating their performance. Continues to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails

Fulltime

Senior Applied Scientist and Principal Applied Scientist

Are you passionate about advancing Artificial Intelligence through innovative re...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Additional or Preferred Qualifications: Bachelor's Degree AND 6+ years related experience
OR Master's Degree AND 4+ years related experience
OR Doctorate AND 3+ years related experience
OR equivalent experience

Job Responsibility

Collaborate with AI researchers, engineers, and multidisciplinary teams within M365 Core to design, build, and deliver end-to-end machine learning solutions optimized for human-human and human-AI interactions across productivity and collaboration scenarios
Lead and contribute to research and development initiatives in language model training, evaluation, and quality assessment with a specific focus on advancing the foundational capabilities and enterprise solutions of M365 Core
Design, develop, and refine robust ML pipelines, including data cleaning, feature engineering, model training, evaluation, deployment, and optimization
Adapt, extend or enhance the capability of large language models (LLMs) using a combination of supervised finetuning, reinforcement learning, and apply advanced techniques such as chain of thought prompting, agent orchestration, and synthetic data generation to meet evolving business needs
Remain current with the latest advancements in ML, AI, digital signal processing, and responsible AI practices, contributing to intellectual property portfolios through publications, patents, and libraries
Develop and deploy live production systems as part of integrated product teams, supporting all phases of the product cycle from ideation to shipping, post-launch optimization, and ongoing improvements
Champion ethics, fairness, and privacy in AI system development, contributing to policy creation and ensuring responsible research and data collection practices
Document work in progress, experimentation results, and share findings to promote a culture of innovation and transparency
Mentor and develop early-in-career team members, establish best practices, and collaborate with academic communities to build a robust recruiting pipeline for research talent
Present research findings at conferences and industry events, shaping the dialogue around AI-powered solutions for enterprise and communication platforms

Fulltime

Applied Scientist II and Senior Applied Scientist

Come build community, explore your passions and do your best work at Microsoft. ...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
2+ years experience delivering, scaling, and maintaining highly successful and innovative machine learning products
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
Experience with Large Language Models: Demonstrated experience working with LLMs, such as GPT, BERT, or similar models, including knowledge of their strengths, limitations, and capabilities
Understanding of NLP: In-depth knowledge of natural language processing (NLP) techniques and concepts, including tokenization, semantic analysis, and text generation
Understanding of state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (TensorFlow, PyTorch, Keras, etc.)
Algorithmic and analytical background and understanding on how to apply advanced knowledge to solve real problems
Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE

Job Responsibility

Building and maintaining production machine learning models for ad retrieval, quality prediction and creative generation
Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization, p-values analysis
Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
Craft and Optimize Prompts for Effective LLM Performance: Design, test, and refine prompts to elicit accurate, relevant, and useful responses from LLMs. This involves understanding the nuances of how the model interprets different inputs, experimenting with various prompt formulations, and iterating based on performance metrics and user feedback
Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, R, C#, C++, Java, and SQL
Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decision

Fulltime

Senior Data and Applied Scientist

Imagine shaping the future of local search for millions of users worldwide. At B...

Location

Spain , Barcelona

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND relevant data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND relevant data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND relevant data-science experience
OR equivalent experience
Relevant years customer-facing, project-delivery experience, professional services, and/or consulting experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design and implement new relevance metrics to measure and improve local search quality
Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments
Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy
Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance
Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks
Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency
Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments

Fulltime

New

Applied Scientist - B2B Data Science and Algorithms

The ZEOS department is responsible for all partner-facing Zalando Logistics Solu...

Location

Germany , Berlin

Salary:

Not provided

Zalando

Expiration Date

Until further notice

Requirements

Educational background in a quantitative field - Masters degree or higher preferred
3+ years of hands-on industry experience in an Applied Scientist, Data Scientist, or Research Scientist role, applying scientific methods to solve business problems
Industry demonstrated knowledge and skills in at least one the following areas: Machine Learning or Deep Learning, particularly applied for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers, Nixtla, Darts,...)
Machine Learning Engineering (e.g. service design, batch processing, GPU computing, git, docker, CI/CD, software testing)
Operations Research and Optimization, (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations, …)
Agentic AI & MCP evaluation frameworks
Proficiency in SQL and experience working with large-scale datasets
Strong communication skills with the ability to explain complex scientific concepts to product managers and business stakeholders
A collaborative, product-oriented mindset and a desire to see your work create real-world impact
An entrepreneurial mindset, you value a diverse and fast-paced business environment, and hence balance your passion for research with pragmatism to drive actions and create impact for our customers

Job Responsibility

Build innovative and impactful ML/Optimization systems for our B2B logistics partners
Build various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services and emerging Agentic AI systems that generate key insights for our partners
Enable partners to make data-driven decisions about their article assortment and inventory
Play a key role in a cross-functional team
Shape the Product from Day One as a core scientific partner
Solve high-stakes, complex scientific problems in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems
Pioneer Agentic AI and design/implement rigorous Agentic AI evaluation frameworks/metrics
Have end-to-end ownership from research to production
Drive impact at a multi-merchant scale

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

New

Applied Scientist (all genders) - B2B Data Science and Algorithms

The ZEOS department is responsible for all partner-facing Zalando Logistics Solu...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Educational background in a quantitative field - Masters degree or higher preferred
3+ years of hands-on industry experience in an Applied Scientist, Data Scientist, or Research Scientist role, applying scientific methods to solve business problems
Industry demonstrated knowledge and skills in at least one the following areas: Machine Learning or Deep Learning, particularly applied for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers, Nixtla, Darts,...)
Machine Learning Engineering (e.g. service design, batch processing, GPU computing, git, docker, CI/CD, software testing)
Operations Research and Optimization, (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations, …)
Agentic AI & MCP evaluation frameworks
Proficiency in SQL and experience working with large-scale datasets
Strong communication skills with the ability to explain complex scientific concepts to product managers and business stakeholders
A collaborative, product-oriented mindset and a desire to see your work create real-world impact
An entrepreneurial mindset, you value a diverse and fast-paced business environment, and hence balance your passion for research with pragmatism to drive actions and create impact for our customers

Job Responsibility

Building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services and emerging Agentic AI systems that generate these key insights for our partners and enable them to make data-driven decisions about their article assortment and inventory
Shape the Product from Day One: You won't be a 'model factory' stuck in a silo! You will be a core scientific partner, working directly with product and user research to define the problem, not just solve it
Solve High-Stakes, Complex Scientific Problems: You'll be tackling cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting (including returns and lead-times), and building recommender systems for assortment planning
Pioneer Agentic AI & Robust Evaluations: You will contribute to defining how we measure their performance/success in the user’s agentic journey
End-to-End Ownership: You will have the autonomy to see your ideas through from initial research and prototyping all the way to production
Drive Impact at a multi-merchant scale: You will be building platform-level services that scale across hundreds of diverse partners/merchants

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

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