CrawlJobs Logo

Principal Applied Science Manager

https://www.microsoft.com/ Logo

Microsoft Corporation

Location Icon

Location:
United States , Redmond

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

163000.00 - 296400.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

Microsoft is on a mission to reinvent productivity with AI, and the Copilot for Calendar initiative is at the forefront of this transformation. We are seeking a Principal Applied Science Manager to lead, grow, and inspire the applied science team that powers the next generation of AI-driven calendar experiences. As a Principal Applied Science Manager, you will shape the foundations of Copilot for Calendar and build intelligent AI-powered experiences such as smart scheduling, conflict resolution, meeting preparation, time protection, day/week planning, and proactive calendar insights.

Job Responsibility:

  • Lead innovation with large language models (LLMs)
  • Drive the design and delivery of advanced ML/NLP models powering Copilot experiences
  • Leverage multi‑modal signals to build intelligent, context‑aware time and productivity solutions
  • Architect and evolve supervised and unsupervised models
  • Own experimentation and evaluation strategy
  • Partner closely with engineering and product teams to integrate models into production
  • Provide technical and scientific leadership in retrieval, embeddings, ranking systems, and evaluation
  • Build, mentor, and lead high‑performing applied science teams
  • Drive cross‑functional alignment and execution

Requirements:

  • Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 10+ years of relevant experience
  • OR Master’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 6+ years of relevant experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 3+ years of relevant experience
  • OR Equivalent experience
  • Ability to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
  • Master’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 10+ years of relevant experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 6+ years of relevant experience
  • OR Equivalent experience
  • 5+ years of experience producing scientific publications
  • Hands-on experience developing and deploying large language models (LLMs)
  • Experience designing, implementing, and optimizing retrieval-augmented generation (RAG) pipelines
  • Proficiency with modern LLM evaluation methods
  • Experience with MLOps best practices
  • Experience publishing at top-tier scientific venues
  • Solid ability to translate complex ML concepts into business value

Additional Information:

Job Posted:
February 13, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Microsoft Corporation - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Principal Applied Science Manager

Principal Data Science, GenAI

The Principal Data Scientist at T-Mobile encompasses tasks such as conducting ma...
Location
Location
United States , Bellevue; Overland Park; Frisco
Salary
Salary:
127400.00 - 229800.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years proven experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
  • 4+ years demonstrated ability writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations while articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • 4+ years experience with data querying, wrangling, cleaning, and feature engineering in big data environments such as AWS, Azure, and Google Cloud
  • 4+ years experience in deploying data mining, visualization, and machine learning solutions using tools like Python, R, SAS in big data environments
  • Proficiency in SQL for complex data querying and management
  • Expertise in designing and implementing algorithms for predictive analytics and decision-making
  • Ability to lead and mentor a team of data scientists, driving project completion and innovation
  • Hands-on development experience with Azure services (e.g., Logic Apps, Function Apps, App Services, Blob Storage, CosmosDB)
  • Proficiency in GenAI workflows, including embedding, chunking, and working with LLM models such as GPT-4
  • Familiarity with managed identities and security integration within Azure environments
Job Responsibility
Job Responsibility
  • Leads and mentors a team of data scientists in the development of data science solutions
  • Manages data science projects from inception to completion, applying advanced analytical techniques
  • Designs and implements algorithms in data analysis, machine learning, and artificial intelligence
  • Enhances the company's capabilities in predictive analytics and decision-making
  • Collaborates with various stakeholders to translate data-driven insights into strategic actions
  • Contributes to maintaining the company's position as a leader in the telecommunications industry
  • Participates in other duties or projects as assigned by business management as needed
What we offer
What we offer
  • medical, dental and vision insurance
  • a flexible spending account
  • 401(k)
  • employee stock grants
  • employee stock purchase plan
  • paid time off and up to 12 paid holidays
  • paid parental and family leave
  • family building benefits
  • back-up care
  • enhanced family support
  • Fulltime
Read More
Arrow Right

Principal Data Scientist - AI Context Architect

In this vital role you will serve as a senior individual-contributor authority o...
Location
Location
United States , Thousand Oaks
Salary
Salary:
163136.00 - 214390.00 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate degree and 2 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
  • Master’s degree and 4 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
  • Bachelor’s degree and 6 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
  • Associate’s degree and 10 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
  • High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
  • 10–12+ years applying data science in enterprise environments with demonstrated principal-level influence
  • Deep expertise in semantic modeling: ontologies, taxonomies, entity resolution, knowledge graphs, metadata and data contracts
  • Strong understanding of machine learning fundamentals and performance drivers, especially feature engineering and evaluation rigor
  • Practical experience implementing RAG / retrieval / vector search / knowledge graph solutions with clear governance patterns
  • Working knowledge of reinforcement learning concepts
Job Responsibility
Job Responsibility
  • Define enterprise-grade semantic representations for healthcare/life-sciences concepts
  • Create and maintain semantic schemas / ontologies / knowledge-graph models
  • Establish context engineering standards
  • Lead feature engineering strategy tied directly to model performance
  • Perform exploratory data analysis on complex, high-dimensional datasets
  • Build and evaluate context-aware ML/GenAI solutions
  • Apply reinforcement learning concepts
  • Prototype and benchmark algorithms and approaches
  • Architect and implement retrieval and memory patterns
  • Define data quality and semantic quality gates
What we offer
What we offer
  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Fulltime
Read More
Arrow Right

Principal Data Scientist - Machine Learning Engineering

Atlassian is looking for a Principal Data Scientist to uncover valuable insights...
Location
Location
United States , San Francisco
Salary
Salary:
175100.00 - 233400.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
  • 8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)
  • Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems and a strong sense of when to apply them to the problem at hand
  • Experience in managing ML projects end-to-end including deployment and monitoring
  • Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
  • A very high bar for output quality, while balancing 'having something now' vs. 'perfection in the future'
  • Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts
  • Proficiency in visualization tools (e.g. Streamlit, Tableau)
Job Responsibility
Job Responsibility
  • Influence strategy & important decisions around customer friction by surfacing data driven insights
  • Define, set and report on department level metrics or KRs to the CSS Executive team
  • Build and implement measurement frameworks, machine learning models and NLP/LLM tooling to accelerate Atlassian’s growth and improve product quality
  • Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Principal Rwd Strategy Lead

We are currently looking to recruit an experienced Principal RWD Strategy Lead t...
Location
Location
Multiple , Remote
Salary
Salary:
Not provided
parexel.com Logo
Parexel
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of industry experience (CRO/Pharma/Data Vendor)
  • Strong data science/data analytics experience
  • Strong understanding of the clinical research process and business, medicines and medical device development, healthcare market, and related sectors
  • Fluent English with a fluency in Chinese an advantage also
  • Demonstrated ability to apply scientific or real-world data solutions to address clinical or commercial questions and needs
  • Experienced in budgets and cost evaluation of RWD based solutions
  • Strong understanding of project management principles
  • Advanced degree in biomedical informatics, public health, data science, life sciences, or related field required
  • Excellent oral and written communication skills
  • Strong customer focus
Job Responsibility
Job Responsibility
  • Lead the development and deployment of a RWD strategy for client opportunities and proposals as well as awarded work
  • Serve as relationship manager and primary point of contact for data providers
  • Participate in establishment of governance structure for data relationship building
  • Identify ways in which the partnership can be strengthened
  • Ensure data partners' needs/expectations are being met
  • Work with Procurement/LRM to establish/manage MSAs
  • Handle complex issues related to data applications and/or analysis requirements and how to remedy them
  • Serve as a SME to the business on the use of the data in clinical research
  • Identify, assess, and recommend appropriate options to expand access to RWD
  • Develop working knowledge of RW data sets assigned to strategy leader, keep specifications up-to-date in the data catalog
Read More
Arrow Right

Principal Data Science Manager

Lead a team of data scientists as they work with software engineering teams to h...
Location
Location
United States , Boston
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience
  • OR equivalent experience
  • 5+ years people-management experience
Job Responsibility
Job Responsibility
  • Support and manage your team’s activities in constructing final datasets from raw data, ensuring data is prepared in a multi-functional approach
  • Help your team understand key data exploration tools, and coach junior engineers in data analysis best practices
  • Develop new predictive and prescriptive models with the goal of producing viable solutions and oversee data and statistical analyses across multiple teams
  • Communicate results of assessments and process reviews to upper management and drive the deployment of evaluation results
  • Oversee collaboration efforts with other engineering teams, and share industry and research knowledge through conferences, white papers, and more
  • Be responsible for enabling the team from both technology and business acumen perspectives
  • Champion innovative principles that affect Microsoft’s long-term business goals, while looking for opportunities across multiple customers and developing novel designs for future products
  • Establish and implement a customer-oriented focus within the team and organization
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Principal Data Scientist

T-Mobile’s Strategy and Corporate Development (S&CD) team is looking for a Princ...
Location
Location
United States , Bellevue; Overland Park
Salary
Salary:
127400.00 - 229800.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
  • Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
  • 7-10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
  • 7-10 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • 7-10 years of Experience with data scripting languages (e.g., SQL, Python, R) and Extended experience working with relational database using SQL
  • 4-7 years of Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
  • 4-7 years of Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks
  • 4-7 years of Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc
  • 4-7 years of Experience in data visualization
  • 2-4 years Management consulting, investment banking, or corporate strategy
Job Responsibility
Job Responsibility
  • Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming
  • Identify critical and emerging technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities
  • Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science team
  • Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
  • Provide senior level guidance to the data science and measurement science teams on approach and methodologies
  • Communicate important information and insights to business leaders using verbal, written, and data visualization skills
What we offer
What we offer
  • competitive base salary and compensation package
  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • access to free, year-round money coaches
  • medical, dental and vision insurance
  • flexible spending account
  • employee stock grants
  • paid time off
  • up to 12 paid holidays
  • Fulltime
Read More
Arrow Right

Principal Data Scientist

You will be part of a world-class Data Science team that leverages data to drive...
Location
Location
United States , San Francisco
Salary
Salary:
167100.00 - 268400.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in analytics or related fields
  • 2+ years of experience managing teams of 4+
  • Advanced proficiency in SQL and knowledge of another data science programming language (e.g Python, R)
  • Proficiency in at least one analytics & visualization tool such as Tableau, Mode, Looker
  • Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
  • Proven experience influencing business strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses
Job Responsibility
Job Responsibility
  • Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
  • Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
  • Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
  • Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
  • Partner with cross-functional teams to inform, influence, and execute strategy decisions
  • Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
  • Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
  • Use storytelling techniques to communicate insights broadly, including to company leadership teams
  • Help structure, build, and grow teams of Data Scientists to deliver strategic impact across product and business areas you support
  • Work with your team to help them grow through coaching in technical, analytical, and soft skills
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Principal Applied Scientist

The MSAI Search Relevance team is at the forefront of delivering world-class sea...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • OR equivalent experience
  • 4+ years experience in applied science projects from ideation to production-in high-scale environments such as search, recommendation, or conversational AI
  • 4+ years experience in data analysis at scale, including working with logs, telemetry, and large datasets
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
  • 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker
  • 5+ years experience conducting research as part of a research program (in academic or industry settings)
  • 3+ years experience developing and deploying live production systems, as part of a product team
Job Responsibility
Job Responsibility
  • Drive end-to-end applied science projects: From ideation and design to implementation, experimentation, and shipping, you will lead high-impact projects that directly improve Copilot Chat, Copilot Search, and BizChat experiences
  • Inspire help to grow a high-performing applied science team: mentor, and empower a team of applied scientists-owning their technical direction, project execution, and career development
  • Innovate with scientific rigor: Invent and apply cutting-edge techniques in machine learning, natural language processing, and information retrieval to address real-world challenges at enterprise scale
  • Document, share, and amplify learnings: Promote a culture of transparency and innovation by capturing experimental results, documenting methodology, and publishing internal learnings
  • Translate business goals into scientific strategy: Partner closely with product and business stakeholders to align team efforts with high-priority objectives
  • Collaborate across organizations and time zones: Work cross-functionally with platform engineering teams, peer science orgs, and product managers to ensure alignment, resolve dependencies, and unblock progress
  • Embody our Culture and Values
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy