▷ [High Salary] Data Scientist Ii

Security represents the most critical priorities for our customers in a world awash in digital threats regulatory scrutiny and estate complexity Microsoft Security aspires to make the world a safer place for all We want to reshape security and empower every user customer and developer with a security cloud that protects them with end to end simplified solutions The Microsoft Security organization accelerates Microsoft s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms devices and clouds in our customers heterogeneous environments as well as ensuring the security of our own internal estate Our culture is centered on embracing a growth mindset a theme of inspiring excellence and encouraging teams and leaders to bring their best each day In doing so we create life-changing innovations that impact billions of lives around the world The Defender Experts DEX Research team is at the forefront of Microsoft s threat protection strategy combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks Our mission is to move protection left disrupting threats early before damage occurs by transforming raw signals into intelligence that powers detection disruption and customer trust We re looking for a passionate and curious Data Scientist to join this high-impact team In this role you ll partner with researchers hunters and detection engineers to explore attacker behavior operationalize entity graphs and develop statistical and ML-driven models that enhance DEX s detection efficacy Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security This is an opportunity to work on problems that matter with cutting-edge data a highly collaborative team and the scale of Microsoft behind you Microsoft s mission is to empower every person and every organization on the planet to achieve more As employees we come together with a growth mindset innovate to empower others and collaborate to realize our shared goals Each day we build on our values of respect integrity and accountability to create a culture of inclusion where everyone can thrive at work and beyond Responsibilities Understand complex cybersecurity and business problems translate them into well-defined data science problems and build scalable solutions Design and build robust large-scale graph structures to model security entities behaviors and relationships Develop and deploy scalable production-grade AI ML systems and intelligent agents for real-time threat detection classification and response Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development Drive end-to-end ML lifecycle from data ingestion and feature engineering to model development evaluation and deployment Work with large-scale graph data create query and process it efficiently to extract insights and power models Lead initiatives involving Graph ML Generative AI and agent-based systems driving innovation across threat detection risk propagation and incident response Collaborate closely with engineering and product teams to integrate solutions into production platforms Mentor junior team members and contribute to strategic decisions around model architecture evaluation and deployment Qualifications Bachelor s or Master s degree in Computer Science Statistics Applied Mathematics Data Science or a related quantitative field 6 years of experience applying data science or machine learning in a real-world setting preferably in security fraud risk or anomaly detection Proficiency in Python and or R with hands-on experience in data manipulation e g Pandas NumPy modeling e g scikit-learn XGBoost and visualization e g matplotlib seaborn Strong foundation in statistics probability and applied machine learning techniques Experience working with large-scale datasets telemetry or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently take ownership of problems and drive solutions end-to-end Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex including pregnancy sexual orientation or any other characteristic protected by applicable laws regulations and ordinances If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process please send a request via the