Data Scientist / Applied Scientist (Mid and Senior Levels) at Microsoft

Remote - Brasil

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We are hiring multiple Data Scientists and Applied Scientists across LATAM to join the Microsoft 365 team. These are remote positions, allowing you to work from the comfort of your home! As part of our team, you will help shape one of Microsoft’s fastest-growing cloud services. Your work will directly impact Copilot, enabling personalized, context-aware experiences that empower millions of users across Microsoft 365.

Do you want to collaborate closely with software engineers, product managers, and researchers to design, implement, and evaluate models and algorithms that continuously adapt and improve based on user interactions and feedback? Do you want to leverage advanced machine learning and information retrieval to predict and optimize memory content selection, representation, and lifecycle management.

You will work at the forefront of applied AI and machine learning, shaping the future of intelligent productivity tools. You will contribute to a culture of innovation, continuous learning, and experimentation.

Requirements

Education

  • Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field
  • Master’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field

Experience

  • 4+ years of experience in predictive analytics, statistics, or research
  • At least one year of experience publishing patents or peer-reviewed papers

Skills

  • predictive analytics
  • statistics
  • research
  • synthetic data generation
  • data management
  • machine learning model development
  • debugging
  • customer-centric solutions
  • cross-functional collaboration
  • research projects
  • evaluation
  • experiment design
  • ML pipelines
  • privacy and compliance
  • communication

Languages

  • English

Responsibilities

  • 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.
  • Drive customer-centric solutions by aligning with business goals and managing stakeholder expectations.
  • Collaborate cross-functionally to define success metrics and improve AI quality at scale.
  • Lead research projects that yield new algorithms, tools, or insights solving open problems.
  • Analyze evaluation outputs to identify gaps in coverage, quality, and usability.
  • Design experiments, define metrics, and develop ML pipelines for encoder-decoder and cross-encoder models, semantic search, and user intent understanding.
  • Work with large-scale data while championing privacy and compliance.
  • Engage with customers and internal teams to identify pain points and drive impactful improvements.
  • Stay engaged with the latest research and foster a strong applied science culture. Publishing is encouraged.

Technologies

language modelslarge language model evaluationmachine learning pipelinesencoder-decoder modelscross-encoder modelssemantic searchuser intent understandingembedding modelstransformer architecturesreinforcement learningdistributed computing platformsHeronAMLEuclidtelemetryperformance metricsDevOpsAzureagile development

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