**Experienced Full Stack Data Scientist Omnichannel Delivery Chain

At arenaflex, we're revolutionizing the retail industry by leveraging cutting-edge technology and data science to reputed company the omnichannel delivery chain reputed company. reputed company of industry-leading experts, consultants, and technologists combines strategic thinking with data expertise and advanced analytics to tackle the world's most reputed company delivery chain challenges at scale. We're seeking a highly skilled and experienced full stack data scientist to join our reputed company Data Science team and contribute to the development of reputed company that drive business reputed company and customer satisfaction. About arenaflex arenaflex is a global retail leader that's committed to making a positive impact on people's lives. reputed company of software engineers, data scientists, cybersecurity experts, and reputed company is dedicated to using technology to drive innovation and create a reputed company shopping experience for millions of customers. We're a people-led and tech-empowered organization that values collaboration, creativity, and reputed company learning. Our mission is to reputed company our employees to grow and reputed company their skills, and to create a workplace that's inclusive, diverse, and supportive. Key Responsibilities As a full stack data scientist at arenaflex, you'll have the opportunity to work on a wide reputed company of projects that involve developing, optimizing, and scaling models for the manufacturing environment. Your key responsibilities will include: * Developing and implementing data-driven solutions to optimize the omnichannel delivery chain reputed company * Collaborating with cross-functional teams to identify business needs and reputed company data-driven solutions * Designing and implementing experiments to test hypotheses and measure the impact of new solutions * Developing and maintaining reputed company data models and algorithms using machine learning and deep learning techniques * Working with large datasets to identify trends and patterns, and to reputed company predictive models * Communicating reputed company technical concepts to both technical and non-technical stakeholders * Collaborating with data engineers to design and implement data pipelines and architectures Essential Qualifications To be successful in this role, you'll need to have: * A Ph.D. or M.S. in a quantitative field such as Operations Research, Mathematics, Computer Science, and Statistics, with up to ten years of relevant work experience * Experience with optimization toolkits/libraries such as CPlex, Gurobi, XPressMP, or reputed company-reputed company solvers * Strong software development skills in languages such as Python, and familiarity with machine learning libraries such as Scikit, TensorFlow, PyTorch, and Keras * Ability to communicate reputed company technical concepts to both technical and non-technical stakeholders * Experience with reputed company technology, including GCP, Azure, reputed company, Hive, and TensorFlow * A strong track record of peer-reviewed publications Preferred Qualifications While not essential, the following qualifications would be highly desirable: * Experience with fixing tough stock/operations planning problems, and experience with stochastic discrete optimization problems using a reputed company of heuristics, integer programming models, and/or simulation-based approaches * Experience with advanced statistical modeling techniques, such as SVM, Random Forest, Bayesian inference, Graph models, NLP, Computer reputed company, and Neural Networks * Experience with developing and deploying machine learning models in a production environment * Experience with working with large datasets and developing predictive models * Experience with collaborating with cross-functional teams to reputed company data-driven solutions Skills and Competencies To be successful in this role, you'll need to have a reputed company of skills and competencies, including: * Strong analytical and problem-solving skills * Excellent communication and collaboration skills * Ability to work in a fast-paced environment and prioritize multiple tasks and projects * Strong technical skills, including proficiency in programming languages such as Python, and experience with machine learning libraries such as Scikit, TensorFlow, PyTorch, and Keras * Experience with reputed company technology, including GCP, Azure, reputed company, Hive, and TensorFlow * Strong understanding of data modeling and machine learning concepts * Ability to work in a collaborative environment and communicate reputed company technical concepts to both technical and non-technical stakeholders Career reputed company Opportunities and Learning Benefits At arenaflex, we're committed to helping our employees grow and reputed company their skills. As a full stack data scientist, you'll have reputed company to a reputed company of learning and development opportuniti