Microsoft · 5 hours ago
Senior Data Scientist
Redmond, WA
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft’s Identity organization is seeking a Senior Data Scientist to enhance adaptive threat detection and improve service reliability. The role involves leading data science efforts to design models that detect and mitigate abusive patterns in real-time, ensuring customer safety across Microsoft services.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Design, build, and operate machine-learning–based detections to prevent fraud and abuse across Microsoft Identity services
Lead signal and model design by defining features, labels, heuristics, and training approaches using supervised and unsupervised techniques
Analyze large-scale authentication, access, and traffic data to identify emerging abuse patterns and translate them into automated detections
Productionize models for low-latency online scoring, implementing guardrails, dynamic thresholds, and safety mechanisms to minimize customer impact
Design and analyze experiments (A/B tests, holdouts) to evaluate detection effectiveness and quantify tradeoffs such as false positives and false negatives
Define and monitor key metrics and dashboards to track model performance, data quality, and drift, enabling rapid iteration and response
Partner cross-functionally with engineering, product, and security teams to harden pipelines, align on success metrics, and support incident response and investigations
Document designs and findings clearly and contribute to reviews, readiness checks, and continuous improvement of detection systems
Qualification
Required
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
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
Preferred
MS/PhD in computer science, machine learning, statistics, or quantitative domain
Expertise in Python (or Scala/R) and ML tooling (e.g., PyTorch, scikitlearn, Spark); strong SQL skills for largescale analysis. Hands on experience with anomaly detection, timeseries, class imbalance techniques, and online evaluation in realtime systems
Demonstrated strength in experiment design (A/B, CUPED or equivalent), causal inference basics, and metric stewardship
Proven ability to collaborate across engineering, product, and operations; clear written and verbal communication with executive and technical audiences
Background in security, antiabuse, fraud prevention, threat intelligence or traffic defenses at internet scale
Experience with streaming and telemetry platforms (e.g., Kafka/Event Hubs), feature stores, and MLOps (training, deployment, monitoring)
Familiarity with edge/proxy concepts (rate limiting, backpressure, routing), and reliability practices (SLOs, error budgets)
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
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2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
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