**Experienced Full Stack Data Scientist – Artificial Intelligence and Machine Learning for Cybersecurity**

Are you passionate about harnessing the power of data science, artificial intelligence, and machine learning to safeguard millions of customers worldwide from cyber threats? Do you thrive in a fast-paced environment where no two days are the same? If so, we want to hear from you! At blithequark, our Microsoft Security Response Center (MSRC) team is seeking a highly skilled Information Researcher to join our dynamic team. As an Information Researcher, you will collaborate with our experts, data scientists, and engineers to design, build, and deploy predictive, AI, and machine learning models to protect the Microsoft Cloud against known and emerging cyberattacks. Your work will involve analyzing large datasets, identifying patterns, testing hypotheses, exploring models, vetting tests, integrating quality checks, and deploying effective models to production. You will have the opportunity to work with partners across blithequark who have years of experience in security, research, and machine learning, and have access to the latest tools and technologies to develop your expertise in this field. **Key Responsibilities:** * Develop predictive, AI, and machine learning-based security models for online protection and threat detection that are scalable, adaptable, and meet business objectives. * Understand the challenges facing projects and use data science to uncover key factors that can impact results on specific products. * Develop a project plan to determine critical steps required for completion. * Evaluate the current situation for resources, opportunities, possibilities, requirements, assumptions, and constraints. * Mentor less experienced engineers on best practices and standards. * Understand organizational dynamics, interrelationships among teams, plan requirements, and resource constraints to effectively influence partners to take action on insights. * Grasp business strategy briefings and express data-driven systems for specific projects or cross-industry capabilities, such as Sales/Marketing, Projects, and new Data Adaptation Plans. * Connect with business partners to capture and significantly influence their thinking on data-driven techniques relevant to their value chain. * Lead client discussions to understand, define, and address business issues. * Secure and prepare datasets for the purpose of demonstration and ensure data integrity and protection. * Use knowledge of AI solutions (e.g., clustering, regression, clustering, estimation, NLP, image recognition, etc.) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average [ARIMA], recurrent neural networks [RNN], long short-term memory [LSTM] networks) to identify the best approach to achieve objectives. * Understand modeling methods (e.g., dimensionality reduction, cross-validation, regularization, encoding, clustering, activation functions) and choose the right approach to plan data, train and improve the model, and assess the result for statistical and business significance. * Identify the risks of data leakage, bias/difference tradeoff, strategic constraints, etc. * Write all essential content in the suitable language: T-SQL, U-SQL, KQL, Python, R, etc. * Develop hypotheses, design controlled tests, examine results using statistical tests, and communicate findings to business partners. * Successfully communicate with diverse audiences on data quality issues and drive. * Understand operational considerations of model deployment, such as execution, adaptability, monitoring, support, integration into the design production framework, stability. * Create operational models that run at scale through collaboration with data engineering teams. * Mentor less experienced engineers on data analysis and modeling best practices. * Develop a comprehension of the blithequark toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure AI, Azure Machine Learning Services, Azure Databricks). * Separate complex AI and ML concepts into digestible topics to explain to clients. * Assist the Solution Engineer and provide guidance on model operationalization that is integrated into the project approach using existing technologies, products, and services, as well as established patterns and practices. * Work with security threat experts to understand cyberattack strategies and build security models and make them available to our team. * Grasp the connection between chosen models and business objectives. * Ensure clear linkage between chosen models and desired business objectives. * Evaluate how much models meet business objectives. * Define and plan feedback and assessment strategies. * Mentor and tutor less experienced engineers on a case-by-case basis. * Present results and findings to senior client partners. **Capabilities:** * Required: + Graduate degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years of data science experience (e.g., managing structured and unstructured data, applying statistical methods, and revealing results). + Or Doctorate in Data Science, Math, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) of data science experience (e.g., managing structured and unstructured data, applying statistical methods, and revealing results). + Or comparable experience. + 2+ years of programming experience in Python OR Scala. **What We Offer:** * Competitive salary and benefits package * Opportunities for career growth and professional development * Collaborative and dynamic work environment * Access to the latest tools and technologies * Recognition and rewards for outstanding performance * Flexible work arrangements and work-life balance * Opportunities for professional growth and development **How to Apply:** If you are a motivated and experienced data scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you! Apply for this job