**Experienced Full Stack Data Scientist – AI and Machine Learning Development**

At arenaflex, we're not just building innovative products – we're revolutionizing industries. It's the collective passion and expertise of our team members that drives the groundbreaking advancements we're known for, from cutting-edge technology to industry-leading sustainability initiatives. Join arenaflex, and be part of a movement that's shaping a better future. We're seeking a highly skilled and motivated Data Scientist to join our Cloud Advancements Application Stage (AP) team. As a key member of our team, you'll play a critical role in designing and implementing our AI strategy to elevate our designer experience platform and accelerate application development within arenaflex. You'll collaborate with cross-functional teams and apply advanced analytics to large-scale data to drive business insights and inform strategic decisions. **Key Responsibilities:** * Develop and implement AI and machine learning models using quantitative programming languages such as Python, R, and SQL with distributed storage solutions like S3, Flash, and Vector Dataset. * Design and train models for experimentation and validation, leveraging expertise in cutting-edge AI (ML) algorithms, deep learning, statistics, and large language models. * Ensure data quality and integrity through analysis, data modeling, and handling missing values, anomalies, and outliers. * Select and calibrate ML algorithms, train models, and optimize hyperparameters to achieve optimal predictive performance. * Collaborate with data engineers and scientists to integrate AI-powered solutions into our designer experience platform. * Develop and communicate complex AI model insights to non-technical stakeholders, distilling technical expertise into actionable recommendations. * Apply ML methods to drive engineer efficiency and productivity, with a focus on automation and process optimization. **Qualifications:** * Bachelor's degree in Computer Science, Data Science, or related field; Master's degree or Ph.D. preferred. * Proven experience in AI and machine learning development, with a strong track record of delivering high-impact projects. * Expertise in quantitative programming languages, including Python, R, and SQL, with experience working with distributed storage solutions. * Strong understanding of advanced AI algorithms, deep learning, statistics, and large language models. * Experience with data modeling, data quality, and data visualization, with a focus on ensuring data integrity and accuracy. * Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. **Benefits:** * Comprehensive health insurance, including medical, dental, and vision coverage for employees and their qualified dependents. * Health and wellness programs, including fitness classes, mental health resources, and employee assistance programs. * Retirement savings plans, including a 401(k) plan with potential employer matching contributions. * Investment opportunities and Employee Stock Purchase Plan (ESPP) to enable employees to purchase arenaflex stock at a discounted rate. * Paid time off, including vacation days, sick leave, and holidays for eligible employees. * Employee discounts on arenaflex products and services. * Professional development opportunities, including training programs, conferences, and workshops. * Disaster insurance and Employee Assistance Program (EAP) to support employees with personal or professional challenges. * Flexible work arrangements, including remote work options, contingent upon the role. **Why Join arenaflex?** At arenaflex, we're committed to creating a workplace that's inclusive, diverse, and supportive. We believe in empowering our employees to grow and develop their careers, with opportunities for professional growth, learning, and advancement. Join our team and be part of a movement that's shaping the future of technology and innovation. **How to Apply:** If you're a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply now. Don't miss this opportunity to make a meaningful impact and join our team of innovators and thought leaders. Apply for this job