**Experienced Full Stack Data Scientist – Omnichannel Delivery Chain Optimization**

At arenaflex, we're revolutionizing the retail industry by leveraging cutting-edge technology and data science to transform the omnichannel delivery chain strategy. Our team of industry-leading experts, consultants, and technologists combines strategic thinking with data expertise and advanced analytics to tackle the world's most complex delivery chain challenges at scale. We're seeking a highly skilled and experienced full stack data scientist to join our CENTROID Data Science team and contribute to the development of innovative solutions that drive business growth and customer satisfaction. **About arenaflex** arenaflex is a global retail leader that's committed to making a positive impact on people's lives. Our team of software engineers, data scientists, cybersecurity experts, and service experts is dedicated to using technology to drive innovation and create a better shopping experience for millions of customers. We're a people-led and tech-empowered organization that values collaboration, creativity, and continuous learning. Our mission is to empower our employees to grow and develop 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 range 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 strategy * Collaborating with cross-functional teams to identify business needs and develop data-driven solutions * Designing and implementing experiments to test hypotheses and measure the impact of new solutions * Developing and maintaining complex data models and algorithms using machine learning and deep learning techniques * Working with large datasets to identify trends and patterns, and to develop predictive models * Communicating complex 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 open-source 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 complex technical concepts to both technical and non-technical stakeholders * Experience with cloud technology, including GCP, Azure, Spark, 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 variety 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 Vision, 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 develop data-driven solutions **Skills and Competencies** To be successful in this role, you'll need to have a range 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 cloud technology, including GCP, Azure, Spark, Hive, and TensorFlow * Strong understanding of data modeling and machine learning concepts * Ability to work in a collaborative environment and communicate complex technical concepts to both technical and non-technical stakeholders **Career Growth Opportunities and Learning Benefits** At arenaflex, we're committed to helping our employees grow and develop their skills. As a full stack data scientist, you'll have access to a range of learning and development opportunities, including: * Regular training and development programs to help you stay up-to-date with the latest technologies and techniques * Opportunities to work on a wide range of projects and collaborate with cross-functional teams * Access to a range of mentorship and coaching programs to help you develop your skills and advance your career * Opportunities to contribute to the development of new technologies and innovations * A culture that values collaboration, creativity, and continuous learning **Work Environment and Company Culture** arenaflex is a dynamic and fast-paced work environment that's committed to making a positive impact on people's lives. Our team is passionate about using technology to drive innovation and create a better shopping experience for millions of customers. We're a people-led and tech-empowered organization that values collaboration, creativity, and continuous learning. Our culture is inclusive, diverse, and supportive, and we're committed to creating a workplace that's welcoming and empowering for all employees. **Compensation, Perks, and Benefits** As a full stack data scientist at arenaflex, you'll be rewarded with a competitive compensation package that includes: * A base salary of $65-$100 per hour * Incentive awards for your performance * A 401(k) match * An inventory buy plan * Paid maternity and parental leave * Paid time off * A range of health and wellness benefits, including health insurance, dental insurance, and multiple fitness plans **How to Apply** If you're a highly skilled and experienced full stack data scientist who's passionate about using technology to drive innovation and create a better shopping experience for millions of customers, we'd love to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and learn more about your qualifications and experience. Apply for this job