CrawlJobs Logo

Principal Data Scientist & Analytics

United States, Redmond 139900.00 - 274800.00 USD / Year · Job Posted March 01, 2026
Apply Position
Job Link Share

Job Description

We are inviting you to join the Microsoft Monetization Marketplace Management Team. The Microsoft Advertising platform is a single stop shop for global publisher and advertiser monetization needs. Our team owns the health and performance of the marketplace—monitoring and defining business metrics, building analytics and experimentation frameworks, and enabling leadership to make high‑confidence, data‑driven decisions. We partner closely across Engineering, Product, and Business to solve complex data science, analytics, and product operations challenges spanning users, advertisers, and publishers. We are looking for high‑energy, creative science and analytics leaders with a solid strategic product and GTM mindset who thrive in fast‑moving environments and enjoy solving real‑world problems using data. In this role, you will help drive data‑informed go‑to‑market strategy, product‑led growth, and monetization initiatives across diverse industries, shaping how products scale from early experimentation through broad adoption. The ideal candidate brings proven experience launching and scaling products from beta to public release, achieving rapid user and revenue growth through disciplined experimentation, solid product adoption strategies, continuous UX improvement, and developing metrics. You are comfortable operating in ambiguity, challenging the status quo, and translating insights into clear actions that accelerate business impact. You will also play a key leadership role—building and scaling high‑impact teams, fostering solid cross‑team collaboration, and bridging strategy and execution to deliver measurable outcomes in entrepreneurial, fast‑paced environments. We are especially excited about candidates who are AI‑native and passionate about product and technology innovation, with a desire to empower creators, enable partners, and build scalable ecosystems that amplify both creative expression and business results. If you are curious, analytically rigorous, and motivated to drive durable growth at the intersection of data, product, and marketplace dynamics, this role offers a unique opportunity to shape the future of monetization at Microsoft.

Job Responsibility

  • Product Insights: Deliver and interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve products
  • Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components
  • Experimental Design & Implementation: Think critically about sampling and experimental design across User and Demand dimensions. Translate strategy into plans that are clear and measurable, with progress shared out to stakeholders
  • Collaboration: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
  • Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-driven workflows that influence product and service improvements
  • Make independent decisions for the team and handle difficult tradeoffs
  • Translate strategy into plans that are clear, actionable and measurable to drive impact

Requirements

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
  • OR equivalent experience
  • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++
  • Great organizational, analytical, data science skills and intuition
  • Fantastic problem solver: ability to solve problems that the world has not solved before
  • Interpersonal skills: cross-group and cross-culture collaboration
  • Experience with real world system building and data collection, including design, coding and evaluation
  • Excellent communication to be able to communicate insights to senior leaders
  • Experience with driving large collaboration across multiple teams
  • Experience with communicating with different audiences to provide insights
  • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights

Nice to have

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience
  • 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

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Principal Data Scientist & Analytics

8 matching positions

Principal Data Scientist

We are seeking a Principal Data Scientist with deep expertise in forecasting and...
Location
Location
United States
Salary
Salary:
Not provided
duettocloud.com Logo
Duetto
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
  • 10+ years of experience delivering impactful data science solutions in production environments
  • Expertise in time series forecasting, including classical methods (e.g., ARIMA, Exponential Smoothing, State Space Models) and deep learning (e.g., RNNs, Temporal Fusion Transformers)
  • Practical experience with Bayesian modeling, including hierarchical models and probabilistic programming (e.g., PyMC3, Stan)
  • Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
  • Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
  • Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
  • Experience designing model evaluation and impact measurement frameworks, including causal inference
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of forecasting and pricing models using a blend of classical time series, deep learning and Bayesian statistical techniques
  • Develop hierarchical forecasting frameworks, including multi-level Bayesian models, that scale across thousands of hotel properties
  • Build uncertainty quantification frameworks to increase trust and robustness in forecasts
  • Guide model architecture choices—balancing complexity, interpretability, and operational feasibility
  • Collaborate closely with engineering to deploy and monitor models in production (e.g., using AWS SageMaker)
  • Translate model outputs into actionable insights in partnership with product and business stakeholders
  • Define and execute model performance measurement strategies, including causal inference and uplift modeling
  • Present findings, experimental results, and strategic recommendations to senior leadership
Read More
Arrow Right

Principal Scientist – Synthetic Separations

Amgen is seeking a highly motivated Senior Principal Scientist for their Discove...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Chemistry, Analytical Chemistry, or related field with 8+ years of relevant experience, or M.S. with 12+ years of relevant experience in analytical or discovery chemistry within the biopharmaceutical industry
  • PhD in Analytical Chemistry or a related discipline with 8+ years of relevant industry experience in chromatographic analysis and/or purification of small molecules within a pharmaceutical R&D environment
  • Minimum of 5 years in a leadership or people management role
  • Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, HRMS, and related techniques) for purity assessment, structural confirmation, quantitative analysis, and reaction monitoring of synthetic compounds
  • Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, etc.) for purity assessment, structural confirmation, and reaction monitoring of synthetic compounds
  • Design, qualify, and maintain high-throughput or automated analytical workflows to support medicinal chemistry cycles
  • Collaborate with cross-functionally digital and automation groups to enable data-driven analytics and AI-supported structure prediction
  • Drive continuous improvement in analytical workflows and laboratory efficiency through process automation and robotics
  • Excellent written and verbal communication skills
  • Prepare concise, high-quality reports and presentations for internal review and external disclosure
Job Responsibility
Job Responsibility
  • Lead analytical strategy and execution for drug discovery-stage projects, enabling medicinal chemistry and early candidate selection through deep expertise in analytical and separation sciences
  • Bridge synthetic and analytical chemistry, ensuring rapid, reliable characterization of novel compounds and intermediates that drive Amgen’s small molecule discovery pipeline
  • Lead and manage the Synthetic Separations group, providing strategic direction, technical leadership, and mentorship to staff while prioritizing workloads, optimizing team performance, and serving as both a people manager and subject matter expert in synthetic separations
  • Design and qualify automated workflows enabling rapid turnaround and consistent data quality for purification and analysis of diverse compound libraries
  • Utilization of a diverse set of instruments and technologies, such as (but not limited to) HPLC, SFC, MS, mass-directed purification, and preparative-scale SFC and LC is necessary
  • Lead library purification efforts across multiple scales, ranging from microgram-level purification of screening compounds to hundreds of milligrams for advanced characterization
  • Assist in research efforts directed at improving process efficiencies, expanding the range of assays and applications, building state-of-the-art analytical capabilities, and improving technologies and infrastructure
Read More
Arrow Right

Principal Data Scientist

Cloud Operations + Innovation (CO+I) is the team behind one of the World’s large...
Location
Location
United States , Redmond
Salary
Salary:
130900.00 - 251900.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
  • 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
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Lead end-to-end ownership of complex, ambiguous data science initiatives that drive measurable improvements to the global Data Center delivery lifecycle
  • Architect and deploy scalable statistical, optimization, and machine learning solutions in production to improve forecasting, planning, and operational efficiency
  • Translate advanced analytical insights into clear, actionable recommendations for senior leadership, influencing strategic and investment decisions
  • Partner cross-functionally across engineering, operations, supply chain, and finance teams to standardize data definitions and build durable, reusable data products
  • Establish best practices for experimentation, model validation, monitoring, and governance to ensure reliable and explainable solutions at scale
  • Mentor and provide technical leadership to other data scientists, raising the quality and impact of analytics across the organization
  • Fulltime
Read More
Arrow Right

Principal Data Infrastructure Engineer

As Microsoft continues to push the boundaries of AI, we are on the lookout for p...
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
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR equivalent experience
  • 4+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering
  • 3+ years of hands-on experience managing and scaling distributed systems—from bare-metal to cloud-native environments
  • 2+ years deploying containerized applications using Kubernetes and Helm/Kustomize
  • Solid scripting and automation skills using Python, Bash, or PowerShell
  • Proven success in CI/CD pipeline management, release automation, and production troubleshooting
  • Experience working with Databricks for scalable data processing and analytics
  • Familiarity with security practices in infrastructure environments, including IAM, OAuth, and Kerberos administration
Job Responsibility
Job Responsibility
  • Architect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications
  • Champion DevOps and SRE best practices—automated deployments, service monitoring, and incident response
  • Build a self-service big data platform that empowers data and platform engineers and researchers
  • Develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools (Bicep, Terraform, ARM)
  • Collaborate with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure, seamless big data workflows
  • Lead technical design reviews and uphold a clean, secure, and well-documented codebase
  • Proactively identify and resolve bottlenecks in data pipelines and infrastructure
  • Optimize system performance across storage, compute, and analytics layers
  • Partner with Security teams to enhance system security (IAM, OAuth, Kerberos)
  • Embody and promote Microsoft’s values: Respect, Integrity, Accountability, and Inclusion
  • Fulltime
Read More
Arrow Right

Principal Data Scientist

Microsoft AI (MAI) creates innovative AI-powered and personalized web experience...
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
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
  • OR equivalent experience
  • 7+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy
  • Previous product analytics, web analytics and or content analytics experience
  • Interpersonal communication and ability to leverage the data to tell a story
  • Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights
  • Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala)
  • Knowledge of Content ecosystem, Ads and online shopping metrics
Job Responsibility
Job Responsibility
  • Work with a host of engaged stakeholders who value your skills and consider you a thought partner in driving the business
  • Collaborate with cross-functional teams to understand features, estimate impacts and drive engagement improvements based on insights from big data
  • Enhance products by evaluating performance metrics and user feedback
  • Develop self-service dashboards and reports for various stakeholders using reporting platforms
  • Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems
  • Build a metrics system to measure Business Health and quickly identify the root cause when metrics move
  • Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI
  • Design and conduct A/B tests to evaluate algorithm performance and propose iterative improvements based on the results
  • Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making
  • Fulltime
Read More
Arrow Right

Principal Data & Analytics Scientist

We are inviting you to join the Microsoft Monetization Marketplace Management Te...
Location
Location
United States , Redmond; Mountain View; New York; Atlanta
Salary
Salary:
139900.00 - 274800.00 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 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
  • OR equivalent experience
  • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++
  • 5+ years of experience with real world system building and data collection, including design, coding and evaluation
  • Experience in organizational, analytical, data science skills and intuition
  • Ability to solve problems that the world has not solved before
  • Cross-group and cross-culture collaboration
  • Experience to communicate insights to senior leaders
Job Responsibility
Job Responsibility
  • Product Insights: Deliver and interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve products
  • Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components
  • Experimental Design & Implementation: Think critically about sampling and experimental design across User and Demand dimensions. Translate strategy into plans that are clear and measurable, with progress shared out to stakeholders
  • Collaboration: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
  • Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-driven workflows that influence product and service improvements
  • Make independent decisions for the team and handle difficult tradeoffs
  • Translate strategy into plans that are clear, actionable and measurable to drive impact
  • Fulltime
Read More
Arrow Right

Principal Data Scientist

The Principal Data Scientist is a highly skilled subject matter expert, tasked w...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field
  • Extended demonstrated experience in a data science role in a corporate environment and/or related industry
  • Extended demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing
  • Extended demonstrated experience in programming languages (R, Python, etc.)
  • Extended demonstrated experience working with and creating data architectures
  • Extended demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data
  • Extended demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business
  • Excellent understanding of data modelling, statistical methods and machine learning techniques
  • Excellent ability to thrive in a dynamic, fast-paced environment
  • Advanced quantitative and qualitative analysis skills
Job Responsibility
Job Responsibility
  • Develops, designs, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement
  • Partners with stakeholders to identify opportunities for leveraging data to drive business solutions and leverage other data sources to enhance analysis
  • Works cross functionally to research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge complex business issues
  • Designs and enhances data collection procedures to include information that is relevant for building analytic systems
  • Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
  • Responsible for providing meaningful insights from large data and metadata sources
  • interprets and communicates insights and findings from analysis and experiments to product, service, and business managers
  • Responsible for performing analysis using programming languages or statistical packages such as Python and R etc
  • Responsible for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business
  • Creates SQL queries for the analysis of data and visualizes the output of the models
  • Fulltime
Read More
Arrow Right

Principal Data Scientist & Analytics

We are inviting you to join the Microsoft Monetization Marketplace Management Te...
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
  • 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)
  • 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)
  • 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)
  • OR equivalent experience
Job Responsibility
Job Responsibility
  • Deliver and interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve products
  • Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components
  • Think critically about sampling and experimental design across User and Demand dimensions
  • Translate strategy into plans that are clear and measurable, with progress shared out to stakeholders
  • Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
  • Engage with stakeholders to produce clear, compelling, and actionable insights and data-driven workflows that influence product and service improvements
  • Make independent decisions for the team and handle difficult tradeoffs
  • Translate strategy into plans that are clear, actionable and measurable to drive impact
  • Fulltime
Read More
Arrow Right