**Experienced Full Stack Data Scientist – AI/ML and Computer Vision Development**
Are you a data enthusiast with a passion for building innovative solutions using cutting-edge technologies? Do you thrive in a fast-paced environment where no two days are the same? Look no further! arenaflex is seeking an experienced Full Stack Data Scientist to join our team of talented professionals in Chicago, USA. As a key member of our Video Engineering organization, you will play a crucial role in developing and implementing AI/ML and computer vision solutions that will shape the future of arenaflex's products and services. **About arenaflex** arenaflex is a leading technology company that is revolutionizing the way people interact with technology. With a focus on AI/ML and computer vision, we are pushing the boundaries of what is possible and creating innovative solutions that will change the world. Our team is passionate about building products that are not only cutting-edge but also user-friendly and accessible to everyone. **Job Responsibilities** As a Full Stack Data Scientist at arenaflex, you will be responsible for: * Implementing algorithms and assessment strategies to drive business growth and improve customer experience * Conducting deep-dive failure analysis and sample mining to identify areas for improvement * Developing interpretation strategies for deep learning models to provide actionable insights to stakeholders * Producing and presenting significant data insights with visualizations to inform business decisions * Using intensive statistical analysis and big data evaluation to drive actionable insights for customers * Evaluating potential features based on customer needs to inform product development * Providing quantitative analysis of real-world trends and customer data to understand product performance * Creating mathematical models to inform strategic and business decisions * Capturing and analyzing customer feedback on shipped products to inform future product development and roadmap **Key Qualifications** To be successful in this role, you will need: * A Master's degree in Computer Science or a related field * 3+ years of experience in data science, AI/ML, or computer vision * Strong programming skills in languages such as Python, R, or Julia * Experience with deep learning frameworks such as TensorFlow or PyTorch * Familiarity with big data tools and technologies such as Hadoop or Spark * Excellent communication and presentation skills * Ability to work collaboratively with cross-functional teams * Strong problem-solving skills and attention to detail **Benefits** As a member of the arenaflex team, you will enjoy a range of benefits, including: * Competitive salary and bonus structure * Comprehensive health and dental insurance * Retirement plan with company match * Access to cutting-edge technology and tools * Opportunities for professional growth and development * Collaborative and dynamic work environment * Recognition and rewards for outstanding performance * Eligibility for discretionary bonuses or fee awards * Relocation assistance (if applicable) **Career Growth Opportunities** arenaflex is committed to helping our employees grow and develop their careers. We offer a range of opportunities for professional growth and development, including: * Mentorship programs * Training and development workshops * Conference and seminar attendance * Opportunities for advancement within the company * Access to industry-leading technologies and tools **Work Environment** arenaflex is a dynamic and collaborative work environment that values innovation, creativity, and teamwork. Our team is passionate about building products that make a difference in people's lives, and we are committed to creating a workplace that is inclusive, diverse, and supportive. **How to Apply** If you are a motivated and talented data scientist with a passion for building innovative solutions, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. We look forward to hearing from you! Apply Now! Apply for this job