**Experienced Full Stack Data Scientist – Cybersecurity and AI Model Development**

At arenaflex, we're on a mission to harness the power of information science, AI, and machine learning to safeguard millions of customers worldwide from cyber threats. If you're passionate about applying your skills to make a real impact, we want to hear from you! **About arenaflex** arenaflex is a leading technology company that's revolutionizing the way we approach cybersecurity and AI. Our team of experts is dedicated to developing innovative solutions that protect our customers from the ever-evolving landscape of cyber threats. We're committed to fostering a culture of collaboration, creativity, and continuous learning, and we're looking for talented individuals like you to join our team. **Job Summary** We're seeking an experienced Full Stack Data Scientist to join our Microsoft Security Response Center (MSRC) team. As a key member of our team, you'll work closely with our experts, data scientists, and engineers to develop and deploy AI and machine learning models that detect and prevent cyber threats. You'll have the opportunity to work on a wide range of projects, from data analysis and model development to deployment and maintenance. **Key Responsibilities** * Develop and deploy AI and machine learning models to detect and prevent cyber threats * Collaborate with cross-functional teams to understand business needs and develop solutions * Design and implement data pipelines to collect, process, and analyze large datasets * Develop and maintain high-quality, scalable, and maintainable code * Work with security threat experts to understand cyberattack strategies and develop security models * Present results and findings to senior client partners and stakeholders * Mentor and guide less experienced engineers on data science and machine learning best practices * Stay up-to-date with industry trends, technologies, and advancements in AI and machine learning **Essential Qualifications** * Bachelor's or Master's degree in Information Science, Mathematics, Statistics, Econometrics, Finance, Operations Research, Computer Science, or related field * 2+ years of experience in information science, including data analysis, machine learning, and data visualization * 2+ years of programming experience in Python or Scala * Strong understanding of AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing * Experience with data analysis and visualization tools, such as Tableau, Power BI, or D3.js * Strong communication and collaboration skills, with the ability to work with cross-functional teams **Preferred Qualifications** * Doctorate in Information Science, Mathematics, Statistics, Econometrics, Finance, Operations Research, Computer Science, or related field * Experience with cloud-based platforms, such as Azure or AWS * Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases * Experience with DevOps practices, including continuous integration and continuous deployment * Strong understanding of cybersecurity concepts and threat models **What We Offer** * Competitive salary and benefits package * Opportunity to work on a wide range of projects and collaborate with cross-functional teams * Collaborative and dynamic work environment * Professional development and growth opportunities * Flexible work arrangements, including remote work options * Access to cutting-edge technologies and tools * Recognition and rewards for outstanding performance **How to Apply** If you're passionate about applying your skills to make a real impact, we want to hear from you! Please submit your resume and cover letter to [arenaflex Careers Page]( We can't wait to hear from you! **About arenaflex** arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. We're committed to creating a workplace that's inclusive, respectful, and supportive of all employees. If you're passionate about making a difference and want to join a team that's changing the world, we want to hear from you! **Contact Us** If you have any questions or would like to learn more about this opportunity, please don't hesitate to contact us at [arenaflex Careers Email](mailto:[email protected]). We look forward to hearing from you! ** arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. ** Apply for this job