CrawlJobs Logo

Senior Applied Scientist

India, Hyderabad · Job Posted February 07, 2026
Apply Position
Job Link Share

Job Description

Join the team that powers the most widely used operating system in the world. Windows is evolving into a secure, agent-first platform, and the Windows AI Platform team is at the forefront of this transformation. The team's mission is to lay the foundation for an agent-first Windows experience, driving innovation and reliability for users worldwide. The Windows Developer Platform team is responsible for creating the foundational capabilities that allow developers to build rich and modern applications for Windows. The team’s work has a profound impact, influencing the daily computing experience of more than a billion users around the globe. This role offers the unique opportunity to shape next-generation platform capabilities, collaborate across engineering teams, and contribute significantly to the ongoing evolution of the Windows app platform.

Job Responsibility

  • Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques
  • Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies
  • Review business requirements and incorporate research to meet business goals
  • Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact
  • Participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams
  • Identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline
  • Document work in progress and experimentation results and share findings to promote innovation
  • Use deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection

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)
  • Strong customer focus and passion for doing the right thing for the customer
  • Proven ability to establish trusted, effective relationships across diverse sets of stakeholders
  • Excellent communication skills and cross group collaboration
  • Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques
  • Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc. will be a plus

Nice to have

  • Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, 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 with Computer Science with Data Science focus, Mathematics, Statistics, 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
  • 3+ years of working in an AI research facility or working with software services / experiences infused with AI

Looking for more opportunities?

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

Similar Jobs for

Senior Applied Scientist

8 matching positions

Senior Applied Scientist

Have you ever wondered how Amazon launches and maintains a consistent customer e...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 5+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
Job Responsibility
Job Responsibility
  • Lead and innovate in applying advanced NLP and LLM techniques to solve complex language translation challenges in e-commerce, driving product-level improvements for our international marketplaces. Drive innovation on Image and Video translation.
  • Architect and implement novel, scalable machine learning solutions that enhance translation quality evaluation and improve translation pipeline efficiency across multiple teams and systems.
  • Spearhead cross-functional collaborations to define strategic project requirements, establish organization-wide success metrics, and deliver high-impact solutions aligning with broader business objectives.
  • Drive comprehensive data analysis to uncover non-obvious insights in multilingual data, relaying findings into actionable strategies that influence product roadmaps and capabilities for language technologies.
  • Pioneer and implement modeling techniques for machine translation quality assessment and pipeline optimization, leading the team's scientific agenda. Invent new methodologies when existing approaches fall short, advancing the state-of-the-art.
  • Serve as a recognized expert in LLM applications for e-commerce translation, communicating complex concepts to diverse stakeholders including senior leadership. Influence organization-wide adoption of innovative approaches in language translation technologies.
  • Actively mentor team members, elevating scientific capabilities and fostering a culture of innovation and rigorous inquiry in machine translation and evaluation.
  • Fulltime
Read More
Arrow Right
New

Senior Applied Scientist

Frontier Tuning is Microsoft’s AI customization platform that enables enterprise...
Location
Location
United Kingdom , Multiple Locations
Salary
Salary:
74700.00 - 122600.00 GBP / 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 advanced 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 solid related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND some related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
  • Experience contributing to research, open‑source systems, or production deployments involving model training or adaptation
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required 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 related field AND extensive related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND advanced related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
Job Responsibility
Job Responsibility
  • Design and develop methods to adapt foundation models (e.g., language, diffusion, or multimodal models) for enterprise‑specific tasks such as document understanding, workflow automation, or content generation
  • Contribute to one or more aspects of the post-training stack, including: Reinforcement learning or fine-tuning methods
  • Architectural or parameter‑efficient adaptation techniques
  • Inference‑time steering or controllability approaches
  • Tooling for evaluation, debugging, or model development
  • Privacy- or security‑preserving training techniques (e.g., differential privacy)
  • Harnesses
  • Implement and evaluate adaptation approaches under real‑world enterprise deployment constraints such as latency, safety, privacy, policy compliance, and compute efficiency
  • Partner with research and engineering teams to translate product or customer requirements into scalable model adaptation solutions
  • Explore post‑training techniques that improve domain specialization, tool use, planning, or agentic behaviors in enterprise environments
  • Fulltime
Read More
Arrow Right
New

Senior Applied Scientist

As a Senior Applied Scientist, you will build and ship the AI/ML that powers the...
Location
Location
France , Paris
Salary
Salary:
Not provided
pro.bsport.io Logo
Bsport
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience building and shipping machine learning in production, including models that reached a real product and moved meaningful metrics
  • You think of yourself as a builder first, writing production-grade code and taking responsibility for getting models live rather than leaving them in a notebook
  • Genuine depth in modern machine learning, recommendation and personalization systems, embeddings, and forecasting
  • Fluent in Python and worked hands-on on ML solutions
  • Track record of taking work developing solutions, from an open problem to a validated solution running in production
  • Communicates with clarity and moves comfortably between technical peers and product stakeholders
Job Responsibility
Job Responsibility
  • Take end-to-end ownership of product-facing models, from problem definition and experimentation through to a deployed and dependable solution
  • Develop the AI&ML capabilities users experience directly, spanning personalisation, recommendations, LLM-powered and generative features, embeddings, and forecasting
  • See your work through to production rather than handing it over, partnering with Engineering on questions of deployment, latency, cost, and ongoing monitoring
  • Establish a clear definition of success for each initiative, designing the metrics and evaluation that demonstrate genuine product impact
  • Contribute to the technical direction of applied AI&ML at bsport
  • Support the development of fellow scientists and engineers, leading through the example of the work you deliver
What we offer
What we offer
  • Attractive compensation package
  • Competitive salary packages based on your experience and role
  • Hybrid model with 3 days per week in the office
  • Up to 15 days of remote work from abroad each year
  • Specially discounted HelloCSE membership
  • Multicultural colleagues, after-work events, team-building & more
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

Zalando Payments is looking for a Senior Applied Scientist to help us further de...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando-lounge.de Logo
Zalando Lounge
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • You are experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring
  • You are familiar with payments (wider fintech), risk, or fraud domain
  • You enjoy researching new ML methods that could improve model performance
  • You are interested in collaborating with different functional areas (operations, internal tool developers) to drive business outcomes
  • You think finding the “why” in datasets is the most interesting part of your job
  • You think about how to tackle experiments but also how to put those findings into production and generate value
  • You are coming from an analytics background, e.g. A/B testing, SQL
Job Responsibility
Job Responsibility
  • participate in the full ML lifecycle: data deep dives and gaining insights
  • and model creation, deployment, and monitoring
  • drive innovation and improve models through research, design and development of new ML features to create measurable business impact
  • develop and maintain scalable ML pipelines
  • make a substantial financial impact on Zalando’s business
  • engage with the wider applied science community at Zalando
What we offer
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
Read More
Arrow Right

Senior Applied Scientist

Zalando Payments is looking for a Senior Applied Scientist to help us further de...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.se Logo
Zalando Sverige
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring
  • familiar with payments (wider fintech), risk, or fraud domain
  • enjoys researching new ML methods
  • interested in collaborating with different functional areas
  • thinks finding the "why" in datasets is the most interesting part of your job
  • thinks about how to tackle experiments and put findings into production
  • coming from an analytics background, e.g. A/B testing, SQL
Job Responsibility
Job Responsibility
  • participate in the full ML lifecycle: data deep dives and gaining insights
  • model creation, deployment, and monitoring
  • drive innovation and improve models through research, design and development of new ML features
  • develop and maintain scalable ML pipelines
  • make a substantial financial impact on Zalando's business
  • engage with the wider applied science community at Zalando
What we offer
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
Read More
Arrow Right

Senior Applied Scientist

We are looking for a Senior Applied Scientist with deep expertise in modern retr...
Location
Location
United Kingdom , London
Salary
Salary:
73800.00 - 121300.00 GBP / 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 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
  • Microsoft Cloud Background Check
Job Responsibility
Job Responsibility
  • Advance Retrieval Science
  • Design and run experiments, define offline and online evaluation metrics, and develop scalable retrieval pipelines and models for enterprise-scale search systems
  • Drive Product Innovation
  • Partner with Engineering, PM and Design to translate product requirements and research advances into scalable and reliable retrieval infrastructure supporting Copilot Search, Chat and Agent experiences
  • Collaborate Across Microsoft
  • Work closely with Microsoft Research, Azure AI platform teams and product organizations to bring cutting-edge retrieval and ranking advances into large-scale production systems
  • Champion Customer Impact
  • Deeply understand user retrieval pain points and enterprise grounding challenges, and develop solutions that materially improve relevance, answer quality, freshness and personalization
  • Lead and Mentor
  • Provide technical leadership and mentorship to scientists and engineers working on retrieval, ranking and recommendation systems
What we offer
What we offer
  • Other compensation
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

Senior Applied Scientist (all genders) The Demand Data & Analytics, Planning, S...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.de Logo
Zalando
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
  • Familiarity with Databricks and Tableau is a plus
  • 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, 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

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