**Experienced Full Stack Data Scientist – Advanced Analytics and Machine Learning Expert**

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a seasoned data scientist, you'll play a critical role in helping us unlock the full potential of our data assets and drive business growth through advanced analytics and machine learning. If you're passionate about leveraging cutting-edge technologies to solve complex problems and have a knack for communicating complex ideas to both technical and non-technical stakeholders, we want to hear from you. **About arenaflex** arenaflex is a leading healthcare and retail company with a rich history of innovation and a commitment to improving the lives of our customers and patients. With a presence in over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we're proud to be a community health destination serving nearly 10 million customers every day. Our pharmacists play a vital role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for medically underserved populations. **Job Responsibilities** As an Experienced Full Stack Data Scientist at arenaflex, you'll be responsible for: * Building and deploying advanced machine learning models using technical expertise in device learning, statistical modeling, probability and decision theory, and other quantitative methods. You'll innovate by adapting to new modeling techniques and procedures. * Understanding the business context behind large datasets and developing significant analytical solutions to drive business growth. * Applying analytical rigor and statistical techniques to analyze large datasets using advanced statistical methods, including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. You'll build recommendations and optimization algorithmic designs, perform data retrieval, complexity analysis, and clinical computing. * Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools. * Performing device learning strategies, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases. * Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. You'll also work with interpretable ML, Bayesian theory, and other advanced techniques. * Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake, and leveraging software tools and methodologies like GitHub, Continuous Integration and Delivery, and Agile Methodologies. * Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support. * Communicating verbally and in writing to business clients and management teams with diverse levels of technical expertise, educating them about our systems, and sharing insights and recommendations. **Essential Qualifications** * Bachelor's degree and a minimum of 4 years of experience in data science, device learning, quantitative or computational skills, or a related field. Alternatively, a High School/GED and a minimum of 7 years of experience in data science, device learning, quantitative or computational skills, or a related field. * M.S. in STEM, computer science, statistics systems, physics, mathematics, statistics, data science, device learning, or a related field. * At least 4 years of experience working with large-scale, complex datasets to create/optimize device learning, predictive, forecasting, and/or optimization models. * Advanced experience in SQL, Python, PySpark, or other programming languages. * Advanced degree skills in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven decisions. * Experience using decision trees, and building classifiers. * Experience with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K means, hierarchical clustering, association rules, principal components). * Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores, and serving engines. * Experience designing and analyzing A/B experiments. * Advanced degree skills in conveying rigorous technical standards and issues to non-experts. * Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results. * Experience effectively communicating technical solutions and advocating to data scientists, engineering teams, and business audiences. * At least 2 years of experience contributing to business decisions within the organization. * At least 2 years of direct management, indirect management, and/or cross-functional team management. **Preferred Qualifications** * Ph.D. in STEM, computer science, statistics systems, physics, mathematics, statistics, data science, device learning, or a related field. * Experience working with IoT, and Edge AI is a plus. * Experience in Reinforcement Learning is a plus. * Experience in Healthcare is a plus. **Benefits** * Company-Paid Life Insurance * Medical, Prescription Drugs, Dental, and Vision * Retirement Savings Plan – 401(k) * Employee Stock Purchase Plan * Paid Time Off (PTO) * Holidays * Paid Parental Leave (PPL) * Transportation Benefit Plan * Employee Store Discount * Voluntary Life & Personal Accident Insurance **Work Environment and Company Culture** As a data scientist at arenaflex, you'll be part of a dynamic and collaborative team that values innovation, creativity, and continuous learning. Our work environment is designed to foster open communication, transparency, and a culture of experimentation and risk-taking. We're committed to providing a safe and inclusive workplace that supports the well-being and growth of our employees. **Compensation and Perks** arenaflex offers a competitive salary and benefits package, including a comprehensive health insurance plan, retirement savings plan, and paid time off. We also offer opportunities for professional growth and development, including training programs, mentorship, and career advancement opportunities. **How to Apply** If you're a seasoned data scientist with a passion for innovation and a knack for communicating complex ideas, we want to hear from you. Please submit your application, including your resume, cover letter, and any relevant work samples or projects. We can't wait to learn more about your skills and experience. Apply Now Apply for this job