CrawlJobs Logo

Senior Data and Applied Scientist

Spain, Barcelona · Job Posted March 19, 2026
Apply Position
Job Link Share

Job Description

Imagine shaping the future of local search for millions of users worldwide. At Bing Places, you’ll join a team that powers business entity relevance on the search results page. You’ll work on cutting-edge tools and metrics that ensure users find the most accurate and meaningful local results. Our team thrives on innovation, leveraging large and small language models, and advanced measurement systems to deliver exceptional quality. As a Data Scientist in Bing Places, you will design new relevance metrics, build labeling pipelines, and fine-tune language models to improve search quality. You’ll work on prompt engineering, implement modern language models techniques like Retrieval Augmented Generation, and create scalable workflows for measurement and evaluation.

Job Responsibility

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

Requirements

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

Looking for more opportunities?

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

Similar Jobs for

Senior Data and Applied Scientist

8 matching positions

Applied Scientist II and Senior Applied Scientist

Come build community, explore your passions and do your best work at Microsoft. ...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 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 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
  • 2+ years experience delivering, scaling, and maintaining highly successful and innovative machine learning products
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
  • Experience with Large Language Models: Demonstrated experience working with LLMs, such as GPT, BERT, or similar models, including knowledge of their strengths, limitations, and capabilities
  • Understanding of NLP: In-depth knowledge of natural language processing (NLP) techniques and concepts, including tokenization, semantic analysis, and text generation
  • Understanding of state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (TensorFlow, PyTorch, Keras, etc.)
  • Algorithmic and analytical background and understanding on how to apply advanced knowledge to solve real problems
  • Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE
Job Responsibility
Job Responsibility
  • Building and maintaining production machine learning models for ad retrieval, quality prediction and creative generation
  • Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization, p-values analysis
  • Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
  • Craft and Optimize Prompts for Effective LLM Performance: Design, test, and refine prompts to elicit accurate, relevant, and useful responses from LLMs. This involves understanding the nuances of how the model interprets different inputs, experimenting with various prompt formulations, and iterating based on performance metrics and user feedback
  • Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, R, C#, C++, Java, and SQL
  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decision
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist and Principal Applied Scientist

The Core AI Speech Group brings together talents in the areas of signal processi...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 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 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Developing novel speech algorithms to advance state-of-the-art speech technologies for real world user scenarios, especially in integrating speech with LLM for multimodal modeling
  • Helps address scalability problems by adjusting to stakeholder needs
  • Works with large-scale computing frameworks, data analysis systems, and modeling environments to improve models
  • Applies the model to real products, and then verifies effects through iterations
  • Experiments by putting multiple models in production and evaluating their performance. Continues to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist and Principal Applied Scientist

Are you passionate about advancing Artificial Intelligence through innovative re...
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
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
  • Additional or Preferred Qualifications: Bachelor's Degree AND 6+ years related experience
  • OR Master's Degree AND 4+ years related experience
  • OR Doctorate AND 3+ years related experience
  • OR equivalent experience
Job Responsibility
Job Responsibility
  • Collaborate with AI researchers, engineers, and multidisciplinary teams within M365 Core to design, build, and deliver end-to-end machine learning solutions optimized for human-human and human-AI interactions across productivity and collaboration scenarios
  • Lead and contribute to research and development initiatives in language model training, evaluation, and quality assessment with a specific focus on advancing the foundational capabilities and enterprise solutions of M365 Core
  • Design, develop, and refine robust ML pipelines, including data cleaning, feature engineering, model training, evaluation, deployment, and optimization
  • Adapt, extend or enhance the capability of large language models (LLMs) using a combination of supervised finetuning, reinforcement learning, and apply advanced techniques such as chain of thought prompting, agent orchestration, and synthetic data generation to meet evolving business needs
  • Remain current with the latest advancements in ML, AI, digital signal processing, and responsible AI practices, contributing to intellectual property portfolios through publications, patents, and libraries
  • Develop and deploy live production systems as part of integrated product teams, supporting all phases of the product cycle from ideation to shipping, post-launch optimization, and ongoing improvements
  • Champion ethics, fairness, and privacy in AI system development, contributing to policy creation and ensuring responsible research and data collection practices
  • Document work in progress, experimentation results, and share findings to promote a culture of innovation and transparency
  • Mentor and develop early-in-career team members, establish best practices, and collaborate with academic communities to build a robust recruiting pipeline for research talent
  • Present research findings at conferences and industry events, shaping the dialogue around AI-powered solutions for enterprise and communication platforms
  • Fulltime
Read More
Arrow Right

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...
Location
Location
United States , Boston, MA/San Ramon, CA
Salary
Salary:
100000.00 - 160000.00 USD / Year
bhspecialty.com Logo
Berkshire Hathaway Specialty Insurance
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Master’s or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline
  • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics
  • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)
  • Strong applied statistics skills for: Risk modeling
  • Predictive analytics
  • Pricing & underwriting analytics
  • Catastrophe exposure analysis
  • Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs)
  • Time-series forecasting
  • Gradient boosting, random forests, and other tree-based models, neural networks models
Job Responsibility
Job Responsibility
  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
  • Work with domain experts across teams and perils to enhance our use of available data
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
  • Conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities
What we offer
What we offer
  • Comprehensive Health, Dental and Vision benefits
  • Disability Insurance (both short-term and long-term)
  • Life Insurance (for you and your family)
  • Accidental Death & Dismemberment Insurance (for you and your family)
  • Flexible Spending Accounts
  • Health Reimbursement Account
  • Employee Assistance Program
  • Retirement Savings 401(k) Plan with Company Match
  • Generous holiday and Paid Time Off
  • Tuition Reimbursement
  • Fulltime
Read More
Arrow Right

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...
Location
Location
United States , Atlanta, GA/Boston, MA/San Ramon, CA
Salary
Salary:
100000.00 - 160000.00 USD / Year
bhspecialty.com Logo
Berkshire Hathaway Specialty Insurance
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
  • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
  • Advanced knowledge of probability theory, statistics, and machine learning methods is required
  • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
  • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
  • Strong written and verbal communication skills
  • Strong programming skills in Python (preferred), R, and SQL
  • Experience and understanding of relational and non-relational databases preferred
  • Comfort working within git-based version-control environments
Job Responsibility
Job Responsibility
  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
  • Work with domain experts across teams and perils to enhance our use of available data
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
What we offer
What we offer
  • Comprehensive Health, Dental and Vision benefits
  • Disability Insurance (both short-term and long-term)
  • Life Insurance (for you and your family)
  • Accidental Death & Dismemberment Insurance (for you and your family)
  • Flexible Spending Accounts
  • Health Reimbursement Account
  • Employee Assistance Program
  • Retirement Savings 401(k) Plan with Company Match
  • Generous holiday and Paid Time Off
  • Tuition Reimbursement
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist / Principal Applied Scientist

We are hiring multiple Senior Applied Scientists and Principal Applied Scientist...
Location
Location
Costa Rica , Multiple Locations
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/Computer Engineering, or related field
  • OR equivalent experience in lieu of academic degrees
  • At least 5 years of experience in predictive analytics, statistics, or research
  • Experience with synthetic data generation and data management for evaluation/training
  • At least one year of experience publishing patents or peer-reviewed papers
  • Proficiency in English and cross-functional collaboration
  • Deep motivation for user-centric AI and interest in human cognition, memory, and AI
Job Responsibility
Job Responsibility
  • Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models
  • Write production-quality code, apply debugging best practices, and stay current with industry trends
  • Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
  • Shape product direction by integrating rigorous scientific methods into the product lifecycle
  • Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
  • Serving as a bridge between research and product
  • Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
  • Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
  • Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts
  • Fulltime
Read More
Arrow Right

Senior Data Scientist - Applied AI

Working at Uber means solving hard problems in a high-stakes, fast-moving enviro...
Location
Location
Brazil , Sao Paulo
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience (or Ph.D. equivalent) in an Applied Science, Machine Learning, or Data Science role
  • Specialized domain expertise in Ranking, Recommender Systems (RecSys), or Search
  • Proven experience in training and deploying Deep Learning models at scale within a production environment
  • Proficiency in Python and SQL with experience handling large-scale datasets using Spark, Hive, or PySpark
  • Solid understanding of statistical methods, experimental design, and A/B testing
  • BSc., M.S., or Ph.D. in Computer Science, Machine Learning, Statistics, Economics, or a related quantitative field
Job Responsibility
Job Responsibility
  • Design and implement ML models and objective functions that unify competing business interests like organic relevance and sponsored content into a single value space
  • Act as the science lead for foundational machine learning initiatives, unblocking technical debt and optimizing feature engineering for high-scale, real-time systems
  • Navigate the ambiguity of user behavior by designing sophisticated experiments and causal inference frameworks that go beyond standard A/B testing
  • Collaborate across disciplines (Product, Engineering, and Data Science) to translate high-level business goals into theoretically sound and performant technical roadmaps
  • Research and apply advancements in Deep Learning, Reinforcement Learning, and GenAI to solve complex, high-impact problems without a clear starting point
  • Own your models end-to-end, from the first scientific hypothesis to debugging production issues in real-time, low-latency environments
  • Fulltime
Read More
Arrow Right

Senior Data & Applied Scientist

At Global Skilling, our mission is to inspire every person and organization on t...
Location
Location
United States , Multiple Locations
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
  • 4+ years of experience in data science, product/journey analytics, causal inference, and user behavioral modeling
  • Experience driving product improvements through data and insights
  • Proficiency in Python, R, SQL, KQL, PySpark, and modern analytics frameworks
  • Experience designing experiments, defining standardized metrics, performing causal analyses, and delivering behavior-driven insights
  • Experience with learning platforms and/or learner competency and skill modeling (e.g., proficiency, mastery, and skill signals)
  • Experience levering AI to deliver accelerate time to insight and depth of insights
  • Hands-on experience with large-scale enterprise data platforms (e.g., Fabric, Synapse, ADX, Delta Lake, ADF, Databricks, Snowflake)
Job Responsibility
Job Responsibility
  • Own product/program analytics and insights for Microsoft skilling experiences to drive product/program strategy and improve the end-to-end learner experience
  • Design and analyze learner journeys and funnels to understand behavior across discovery, engagement, completion, and retention
  • Define and operationalize product/program success metrics (north star, input metrics, and guardrails), and content quality/relevance metrics. Conduct data quality checks
  • Build measurement frameworks and new metrics to quantify learner proficiency and skill growth (e.g., consumption signals, certifications, and expertise indicators)
  • Conduct deep-dive analyses to identify drivers of engagement, proficiency, and retention
  • surface opportunities and risks
  • Plan and evaluate experiments (A/B tests) and causal analyses to measure impact of new features and changes
  • communicate actionable recommendations
  • Set up operating rhythms (weekly business review metrics, experiment readouts, KPI health dashboards) so insights consistently change product decisions
  • Partner with Engineering and Product/Program Management to shape product telemetry, data instrumentation, and scalable reporting to enable self-serve insights
  • Fulltime
Read More
Arrow Right