CrawlJobs Logo
Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Senior Applied Scientist

India, Bangalore · Job Posted April 23, 2026
Apply Position
Job Link Share

Job Description

Microsoft Advertising is building the next generation of intelligent systems that power how users discover relevant ads and how advertisers connect with customers across search, native, display, video, and emerging AI experiences. We operate at global scale, serving billions of requests. We are seeking a Senior Applied Scientist to work across a broad portfolio of applied machine learning problems in Ads. This role spans retrieval, ranking, marketplace quality, fraud and abuse detection, content understanding, moderation, and emerging foundation-model-powered experiences. The work entails developing and applying LLMs, large retrieval models, multimodal systems, and agentic or deep-research-style workflows to high-impact advertising scenarios at scale. This is an opportunity to work on frontier machine learning problems with direct production impact, improving relevance, quality, safety, efficiency, and advertiser outcomes at massive scale.

Job Responsibility

  • Design and improve large-scale learning systems for matching, relevance, prediction, classification, and decision-making in production environments
  • Partner closely with product, and platform teams to productionize models and measure impact through rigorous offline and online experimentation
  • Analyze large-scale data to identify modeling opportunities, understand failure modes, and drive continuous improvements in product quality and system performance
  • Contribute to technical innovation through prototyping, experimentation, publications, patents, and strong scientific rigor

Requirements

  • Bachelor's Degree in Computer Science, Statistics, Electrical Engineering, Computer Engineering, or related field AND 6+ years of related experience in applied science, machine learning, recommender systems, information retrieval, or related areas
  • OR Master's Degree in a related field AND 4+ years of related experience
  • OR Doctorate in a related field AND 2+ years of related experience
  • OR equivalent experience
  • Strong foundation in machine learning and depth in one or more relevant areas such as retrieval, ranking, recommender systems, representation learning, fraud detection, content quality, moderation
  • Experience building, evaluating, and shipping machine learning models in production environments
  • Ability to design experiments, analyze results, and make data-driven decisions in complex systems
  • Strong problem-solving, communication, and cross-functional collaboration skills

Nice to have

  • Experience in Ads, search, recommendation systems, trust and safety, marketplaces, or other large-scale online platforms
  • Familiarity with large-scale distributed training, online inference systems, and latency-sensitive production services
  • Track record of technical impact through shipped systems, research publications in top tier conferences
Microsoft Corporation - All Job Offers

Looking for more opportunities?

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

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Applied Scientist

8 matching positions

New

Senior Applied Scientist

RBS (Retail Business Services) Tech team works towards enhancing the customer ex...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD, or Master's degree and 5+ years of applied research experience
  • Specialization in machine learning, Deep Learning, NLP, Computer Vision, GenAI or related fields
  • Strong working knowledge of programming languages such as C/C++, Java, or Python
  • Proven ability to relate to and solve business problems through machine learning, data mining and statistical algorithms
  • Published and/or presented papers at ACL, ICML, NIPS, KDD, CVPR or similar top-tier conferences and events
  • Technical fluency
  • comfort understanding and discussing architectural concepts and algorithms, schedule trade-offs and new opportunities with technical team members
  • Strong problem solving skills
  • Excellent communication skills
Job Responsibility
Job Responsibility
  • Design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues
  • Develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems
  • Define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time
  • Partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation
  • Help the team leverage your expertise, by coaching and mentoring
  • Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices
  • Independently as well as guide team to file for patents and/or publish research work where opportunities arise
  • Fulltime
Read More
Arrow Right
New

Senior Applied Scientist

The Demand Data & Analytics, Planning, Steering, and Performance Measurement Tea...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.se Logo
Zalando Sverige
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in a data-driven scientific field such as Statistics, Econometrics, Machine Learning or Mathematics
  • at least 5 years in a similar analytical context with comparable questions to the area of marketing measurement (MMM, incrementality testing incl. geo-testing & conversion lift studies) with a preference of a Saas/consultancy background
  • Deep understanding of Causal Inference, Bayesian statistics and experimental design methodologies
  • Professional experience in Python or R for scientific computing and advanced SQL for data extraction from Redshift
  • Ability to work backwards from customer/business problems to discover new research opportunities and explain technical results to non-experts
  • Quick thinking and proactive attitude, able to adapt to change and work independently
Job Responsibility
Job Responsibility
  • Innovate on MMM Architecture: Advance our modeling by developing custom solutions that account for the unique dynamics of a Flash Sales model, implementing time-varying coefficients and stock availability constraints to ensure high-precision forecasting
  • Drive the Causal Inference & Incrementality Roadmap: Design and lead a comprehensive research plan for Geo-Lift and Incrementality tests to serve as the definitive 'ground truth' for validating and calibrating our Media Mix Models
  • Establish Validation Excellence: Act as the gatekeeper of scientific integrity by implementing rigorous Out-of-Sample validation, Bayesian calibration, and Multicollinearity diagnostics before models influence multi-million euro budget decisions
  • Master Large-Scale Data Environments: Leverage the AWS Ecosystem (S3 & Redshift) as well as Databricks to engineer complex features and process high-velocity datasets, turning raw signals into robust inputs for causal modeling
  • Bridge Science and Strategy: Take accountability for technical relationships with external MMM partners, aggressively challenging methodologies that conflict with Lounge business reality. Collaborate with main stakeholders like Marketing, Analytics and Engineering as well as external partners to translate complex Causal Inference outputs into actionable investment reallocations for Marketing leadership
  • Act as an Expert of Marketing Data Science: Keep up to date with the newest trends in the area of marketing, analytics and data science and exchange closely with your peers across the business by providing guidance
What we offer
What we offer
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right
New

Senior Applied Scientist

The Demand Data & Analytics, Planning, Steering, and Performance Measurement Tea...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando-lounge.de Logo
Zalando Lounge
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in a data-driven scientific field such as Statistics, Econometrics, Machine Learning or Mathematics
  • at least 5 years in a similar analytical context with comparable questions to the area of marketing measurement (MMM, incrementality testing incl. geo-testing & conversion lift studies) with a preference of a Saas/consultancy background
  • Deep understanding of Causal Inference, Bayesian statistics and experimental design methodologies
  • Professional experience in Python or R for scientific computing and advanced SQL for data extraction from Redshift
  • Ability to work backwards from customer/business problems to discover new research opportunities and explain technical results to non-experts
  • Quick Thinking and Proactive Attitude, ability to easily adapt to change and work independently
Job Responsibility
Job Responsibility
  • Innovate on MMM Architecture
  • Drive the Causal Inference & Incrementality Roadmap
  • Establish Validation Excellence
  • Master Large-Scale Data Environments
  • Bridge Science and Strategy
  • Act as an Expert of Marketing Data Science
What we offer
What we offer
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

Are you ready to make a global impact that has visible impact on consumers? Join...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 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 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.
Job Responsibility
Job Responsibility
  • Leverages data analysis knowledge to clean, transform, analyze, integrate, and organize data to the level required by the analysis techniques selected
  • Develops useable datasets for modeling purposes
  • Scales the feature ideation and data preparation
  • Takes cleaned or raw data and adapts data that for machine learning purposes
  • Uses understanding of which features are important that come out of the model and identifies the optimal features
  • Identifies gaps in current datasets and drives onboarding of new datasets
  • Works with team to optimize signal system design
  • Identifies gaps in current datasets and drives onboarding of new datasets (e.g., bringing on third-party datasets)
  • Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared and guides team to do so
  • Influences the direction of the team
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

The Marketing Science team acts as the engine behind Zalando's growth, partnerin...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.de Logo
Zalando
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A strong academic foundation (Master's or PhD preferred) in Econometrics, Statistics, Machine Learning, or Causal Inference
  • At least 5 years of practical industry experience specifically within marketing science or measurement
  • Proven experience building, deploying, and maintaining Marketing Mix Models (MMM)
  • Deep theoretical understanding of adstock transformations, saturation curves, and Bayesian priors
  • Deep proficiency in Python, SQL, and PySpark
  • Commitment to high coding standards, including active participation in code reviews
  • Self-starter with a proven track record of architecting measurement frameworks in high-ambiguity environments where user-level tracking is limited
  • Demonstrated experience guiding, upskilling, and mentoring mid-to-junior data scientists
  • Exceptional communication and negotiation abilities, capable of aligning incentives between Performance Marketing, Brand Marketing, and Finance leaders
Job Responsibility
Job Responsibility
  • Take ownership of highly ambiguous, macro-level research questions
  • Apply advanced Deep Learning, Bayesian time-series, and CausalML methodologies to bridge offsite brand awareness to long-term value add
  • Champion MLOps best practices
  • Mentor junior and mid-scientists
  • Bridge the gap between deeply technical methodologies and commercial strategy
What we offer
What we offer
  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week
  • Work from abroad for up to 30 working days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando
  • 30% off Lounge by Zalando
  • Discounts from external partners
  • Relocation assistance available
  • Family services, including counseling and support
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.se Logo
Zalando Sverige
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A strong academic foundation (Master's or PhD preferred) in Econometrics, Statistics, Machine Learning, or Causal Inference, paired with at least 5 years of practical industry experience specifically within marketing science or measurement
  • Proven experience building, deploying, and maintaining Marketing Mix Models (MMM) and a deep theoretical understanding of adstock transformations, saturation curves, and Bayesian priors
  • Deep proficiency in Python, SQL, and PySpark, with a commitment to high coding standards, including active participation in code reviews and elevating the team's engineering culture
  • A self-starter with a proven track record of architecting measurement frameworks in high-ambiguity environments where user-level tracking is limited (e.g., ATT, cookieless environments)
  • Demonstrated experience guiding, upskilling, and mentoring mid-to-junior data scientists and driving the team's technical roadmap
  • Exceptional communication and negotiation abilities, capable of aligning incentives between Performance Marketing, Brand Marketing, and Finance leaders while maintaining absolute technical precision
Job Responsibility
Job Responsibility
  • Measure: Design and implement advanced, non-linearly scaled experimentation frameworks (such as quasi-experiments and synthetic controls) to measure the causal impact of online and offline brand marketing investments where traditional RCTs are unavailable
  • Optimize: Develop, calibrate, and scale sophisticated Marketing Mix Models (MMM) to provide strategic investment recommendations that optimize toward long-term business goals
  • Steer: Directly influence how Zalando allocates marketing investment, ensuring we mathematically attribute value correctly across the entire funnel and optimize for long-term equity growth
  • Take ownership of highly ambiguous, macro-level research questions, prioritizing pragmatic, rapid solutions to establish causal baselines before iterating for algorithmic complexity
  • Apply advanced Deep Learning, Bayesian time-series, and CausalML methodologies to bridge offsite brand awareness to long-term value add
  • Champion MLOps best practices by ensuring models are production-ready, thoroughly tested via automated unit/integration tests, and robustly documented
  • Mentor junior and mid-scientists, conduct rigorous code/methodology reviews, and foster a culture of continuous learning and scientific excellence within the team
  • Bridge the gap between deeply technical methodologies and commercial strategy, confidently defending scientific integrity to executive stakeholders and translating model parameters into actionable business decisions
What we offer
What we offer
  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

Join the team building Azure's nextgeneration Model Router and shape how the wor...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
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 8+ years related experience
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
  • Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ year(s) related experience
  • or equivalent experience
Job Responsibility
Job Responsibility
  • Bringing the State of the Art to Products
  • Capability Management and Networking
  • Documentation
  • Ethics and Privacy
  • Leveraging Applied Research
  • Machine Learning Functionality, Insights, and Technical Tools
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

AWS Elastic Compute Cloud (EC2) Capacity Org is looking for an experienced appli...
Location
Location
United States , Seattle
Salary
Salary:
167100.00 - 226100.00 USD / Year
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience
  • Knowledge of optimization mathematics such as linear programming and nonlinear optimization
  • Knowledge of databases (querying and analyzing) such as SQL, MYSQL, and ETL Manager and working with large data sets
  • In-depth knowledge of continuous and discrete optimization methods accompanied by associated expertise in the use of tools and the latest technology (e.g. CPLEX, Gurobi, XPRESS).
  • Experience in prototyping and developing software in traditional programming languages (e.g., C++, Java, Python, Julia) using mathematical solver interfaces.
  • Good writing skills to document the models and analyses and for presenting business cases with results/conclusions in order to influence important decisions.
Job Responsibility
Job Responsibility
  • Design, implement, and scale decision-making algorithms to manage EC2’s virtual and physical capacity systems
  • Analyze large volumes of data, and then develop a prescriptive optimization model with inputs from ML or statistical models and business users
  • Be hands-on with the mathematical modeling and implementation
  • Contribute to the design of the engineering system with the scalability, extensibility, maintainability, and correctness of the optimization engine in mind
  • Review approaches by other scientists and engineers in terms of business relevance, technical validity, engineering / science interface, and computational performance
  • Mentor and lead junior scientists by example
  • Communicate results to guide the direction of the business and working with software development teams to implement ideas in code
  • Write technical, and less frequently, business documents that influence engineering investments and business direction
  • Collaborate with other scientists, software engineers, and product managers to develop creative, novel, and data-driven approaches
What we offer
What we offer
  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Sign-on payments
  • Restricted stock units (RSUs)
  • Fulltime
Read More
Arrow Right