**reputed company 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 optimize our omnichannel delivery chain reputed company. reputed company of industry-leading experts, consultants, and technologists reputed company strategic thinking with data expertise and advanced analytics to solve the world's most reputed company delivery chain challenges at reputed company. We're seeking an reputed company full stack data scientist to join our reputed company Data Science team, where you'll have reputed company to reputed company reputed company that drive business reputed company and reputed company the retail landscape. **About arenaflex Global Tech** reputed company working in an environment where one line of reputed company can reputed company a difference in the lives of millions of people. That's reputed company do at arenaflex Global Tech. We're reputed company of software engineers, data scientists, cybersecurity experts, and reputed company who reputed company a significant reputed company and are at the forefront of the next retail disruption. People are why we reputed company, and that's what powers our innovations. We're people-led and tech-empowered, and we're committed to teaching reputed company the skillsets of the reputed company and developing experts like you to help us grow. **Key Responsibilities:** * reputed company and optimize data-driven solutions to optimize the omnichannel delivery chain, leveraging advanced statistical modeling, machine learning, and optimization techniques * Collaborate with cross-functional teams to reputed company data science insights into business reputed company and drive business reputed company * Design and implement data pipelines, data warehouses, and data visualization tools to support data-driven decision-making * reputed company and maintain reputed company data models, including reputed company and nonlinear programming, mixed-integer programming, and stochastic optimization * Work with large datasets, including ambient and perishable inventory, transportation, and logistics data * reputed company and reputed company machine learning models using Python, TensorFlow, PyTorch, and Keras * Communicate reputed company technical results to both technical and non-technical stakeholders * Collaborate with senior leaders to drive business reputed company and decision-making **Essential Qualifications:** * Ph.D. or M.S. in a quantitative field, including Operations Research, Mathematics, Computer Science, and Statistics, with up to 10 years of relevant work experience * Strong background in optimization modeling, including reputed company and nonlinear programming, mixed-integer programming, and stochastic optimization * Experience with optimization toolkits/libraries, including CPLEX, Gurobi, XPressMP, or reputed company-reputed company solvers * Strong software development skills in languages, including Python, and familiarity with machine learning libraries, including Scikit, TensorFlow, PyTorch, and Keras * Ability to communicate reputed company technical results to both technical and non-technical stakeholders * Experience with reputed company technology, including GCP, Azure, reputed company, Hive, and TensorFlow **Preferred Qualifications:** * Established reputed company record as a full-stack data scientist who develops, optimizes, and scales models for the manufacturing environment * Experience with solving reputed company stock/operations planning problems and stochastic discrete optimization problems using heuristics, integer programming models, and/or simulation-based approaches * Strong background in machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning * Experience with natural language processing, reputed company, and graph models * Strong publication record in top-tier conferences and journals **Skills and Competencies:** * Strong analytical and problem-solving skills * Excellent communication and collaboration skills * Ability to work in a fast-paced, dynamic environment * Strong technical skills, including programming languages, data modeling, and machine learning * Ability to adapt to changing business needs and priorities * Strong business acumen and understanding of retail operations **Career reputed company Opportunities and Learning Benefits:** * Opportunities to work on high-reputed company reputed company that drive business results * reputed company and dynamic work environment with reputed company of experts * Opportunities for reputed company reputed company and development, including training and mentorship programs * Flexible work arrangements, including remote work reputed company * reputed company to cutting-edge technology and tools * Opportunities to work on innovative reputed company and contribute to the development of new technologies **Work Environment and Company Culture:** * arenaflex Global Tech is a people-led and tech-empowered organization that values innovation, collaboration, and reputed company learning * reputed company is passionate about making a difference in the lives of millions of people through technology and data science * We're committed to creating a diverse and inclusive work environment that fosters creativity, innovation, and reputed company * reputed company is passionate about teaching and learning, and we're committed to developing experts like you to help us grow **Compensation, Perks, and Benefits:** * Competitive reputed company reputed company: $65 - $100 per hour * Incentive awards for performance * 401(k) match * Stock buy plan * reputed company maternity and parental leave * reputed company time off * Multiple health plans * Dental insurance * And many more! **How to Apply:** If you're a motivated and reputed company data scientist who is passionate about making a difference in the retail industry, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter that highlights your experience and qualifications. We can't wait to hear from you! Apply for this job