**Experienced Full Stack Data Scientist – Omnichannel Delivery Chain Strategy Development**

At arenaflex, we're revolutionizing the destiny of omnichannel delivery chain strategy. Our crew of industry-main experts, consultants, and technologists integrate wonderful strategic wondering with records technological know-how and superior analytics to clear up the world's maximum complicated delivery chain demanding situations at scale. Our challenge is to lay out a delivery chain that leverages arenaflex's particular benefits to offer a huge product assortment, provide the bottom costs, and construct contemporary talents thru transformative initiatives. **Join Our Team of Visionaries** The CENTROID Data Science crew at arenaflex develops shrewd answers to make rather seen and huge effect selections in Network transformation. The work consists of fixing troubles including Ambient and Perishable inbound community layout, center mile community waft optimization, remaining mile transport and returns layout, stock placement and targets, and transportation and monetization techniques to offer arenaflex an aggressive part withinside the medium to lengthy term. We broadly speaking rent diverse strategies from operations studies to classical system mastering, deep mastering, reinforcement mastering, causal inference and statistics. Our work is revolutionary and is posted in top-tier meetings and journals. You can be a part of the crew that gained the celebrated INFORMS Franz Edelman award in 2023. **What We're Looking For** We're searching for a talented and experienced Full Stack Data Scientist to join our crew. The ideal candidate will have a Ph.D/M.S. in a quantitative subject including Operations Research, Mathematics, Computer Science, and Statistics, with up to ten years of applicable work experience. They will be capable of leveraging their thesis in Operations Research or Statistics or an equal quantitative area related to math programming strategies, stochastic programming or associated implemented disciples that used operations studies modeling heavily. **Key Responsibilities** * Leverage your expertise in operations research, statistics, and data science to develop and optimize models for the manufacturing environment * Collaborate with cross-functional teams to identify and solve complex business problems * Develop and deploy machine learning models using Python and popular libraries such as Scikit, TensorFlow, PyTorch, and Keras * Work with large datasets to extract insights and develop data-driven solutions * Communicate complex technical ideas to both technical and non-technical stakeholders * Collaborate with senior leaders to drive business outcomes and strategy **Essential Qualifications** * Ph.D/M.S. in a quantitative subject including Operations Research, Mathematics, Computer Science, and Statistics * Up to ten years of applicable work experience in data science, operations research, or a related field * Experience with optimization toolkits/libraries like CPlex, Gurobi, XPressMP or open-source solvers * Strong software development skills in languages including Python and familiarity with machine learning libraries * Ability to communicate complex technical ideas to both technical and non-technical stakeholders **Preferred Qualifications** * Established potential as a complete stack data scientist who develops, optimizes, and scales models for the manufacturing environment * Experience with solving tough stock/operations planning problems using a variety of heuristics, integer programming models, and/or simulation-based approaches * Experience with cloud technology including GCP, Azure, and Spark, Hive, and TensorFlow * 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 environment and prioritize multiple tasks * Strong understanding of data science and machine learning concepts * Experience with data visualization tools and techniques **Career Growth Opportunities and Learning Benefits** At arenaflex, we're committed to helping our employees grow and develop their careers. We offer a range of training and development programs, including: * On-the-job training and mentorship * Professional development workshops and conferences * Access to cutting-edge technologies and tools * Opportunities to work on high-impact projects and contribute to the company's success **Work Environment and Company Culture** We're a people-led and tech-empowered company that values innovation, collaboration, and continuous learning. Our work environment is fast-paced and dynamic, with a focus on delivering high-quality results and making a meaningful impact. We're committed to creating a diverse and inclusive workplace that values and celebrates different perspectives and backgrounds. **Compensation, Perks, and Benefits** We offer a competitive compensation package, including: * $65 - $100 per hour * Incentive awards for performance * 401(k) match * Stock buy plan * Paid maternity and parental leave * Paid time off * Multiple health plans * Dental insurance * And more! **Conclusion** If you're a talented and experienced Full Stack Data Scientist looking for a challenging and rewarding opportunity, we encourage you to apply. Join our crew of visionaries and help us revolutionize the destiny of omnichannel delivery chain strategy. Apply now and take the first step towards an exciting and fulfilling career at arenaflex. Apply Job! Apply for this job