**Experienced Full Stack Data Scientist – GenAI Development and Deployment**

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a seasoned Full Stack Data Scientist, you'll join our esteemed team of experts in GenAI development and deployment, driving innovation and excellence in our cutting-edge predictive models. With a strong focus on collaboration, creativity, and results-driven thinking, you'll play a pivotal role in shaping the future of arenaflex's data science capabilities. **Job Summary:** We're seeking an exceptional Full Stack Data Scientist to join our Information Sciences group, where you'll work closely with a talented team of data scientists, engineers, and product designers to develop and deploy GenAI-powered solutions. As a key member of our team, you'll be responsible for designing, building, and maintaining large-scale GenAI frameworks, collaborating with cross-functional teams to drive business outcomes, and staying up-to-date with the latest advancements in the field. **Key Responsibilities:** * Design and develop unified GenAI tools and services to assess and control GenAI model result quality across the organization * Collaborate with product designers and engineers to plan and execute the scaling and adoption of GenAI features * Develop at-scale GenAI framework structures, brief motor development, and ideal model choice procedures * Create continuous monitoring and assessment tools to ensure the quality and performance of GenAI models * Work with data scientists and engineers to develop and deploy GenAI-powered solutions that drive business outcomes * Participate in code reviews, ensure adherence to best-practice programming standards, and maintain a high-quality, well-documented codebase * Develop and present work to technical and non-technical peers, and lead instructional courses to share knowledge and expertise * Build a deep understanding of business needs and objectives, and use this knowledge to inform the development of GenAI-powered solutions **About You:** * 3-year degree in quantitative disciplines (Science, Engineering, Mathematics, or Design) or equivalent experience * 3 years of professional experience or equivalent industry experience * Experience in planning and developing deep learning, AI, enhancement, and statistical models * Strong programming skills in Python, with knowledge of SQL, Hadoop/Hive, Flash, and Scala * Excellent working knowledge of numerical and statistical concepts, calculations, and computational complexity * Strong analytical and problem-solving skills, with the ability to develop innovative and creative solutions to real-world business problems * Excellent communication and presentation skills, with the ability to clearly tell data-driven stories through visualizations, diagrams, and narratives * Self-motivated and results-driven, with the ability to meet tight deadlines and collaborate effectively across geographies **Nice to Have:** * MS or PhD in a quantitative field * Experience with creating GenAI-based frameworks * Demonstrated expertise in applied ML and deep learning systems **What We Offer:** * Competitive salary and benefits package * Opportunities for professional growth and development in a dynamic and innovative environment * Collaborative and supportive team culture * Flexible work arrangements and remote work options * Access to cutting-edge technologies and tools * Opportunities to work on high-impact projects and contribute to the development of arenaflex's data science capabilities **How to Apply:** If you're a motivated and experienced Full Stack Data Scientist looking to join a dynamic and innovative team, we encourage you to apply today. Please submit your resume, cover letter, and any relevant work samples or projects that demonstrate your skills and experience. **About arenaflex:** arenaflex is a leading provider of innovative data-driven solutions, dedicated to helping organizations make informed decisions and drive business outcomes. With a strong focus on collaboration, creativity, and results-driven thinking, we're committed to delivering exceptional results and exceeding our customers' expectations. Join our team and be part of a dynamic and innovative environment that's shaping the future of data science. Apply for this job