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

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 pivotal role in driving business growth and innovation through the application of cutting-edge analytics and machine learning techniques. If you're passionate about extracting insights from complex data sets and turning them into actionable strategies, we want to hear from you. **About arenaflex** arenaflex is a leading healthcare and retail company with a rich history of caring for communities. With a presence in over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we're committed to creating more joyful lives through better health. Our pharmacists play a vital role in the U.S. healthcare system, providing a wide range of pharmacy and healthcare services that empower equitable access to care for the nation's medically underserved populations. **Job Responsibilities** As an Experienced Full Stack Data Scientist at arenaflex, you'll be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to deliver insights and actionable recommendations. You'll also provide consulting support for program improvement and drive meaningful initiatives. Your key responsibilities will include: * Building models and tools using technical expertise in machine 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. * Applying analytical rigor and statistical techniques to analyze large datasets, using advanced statistical methods such as 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 machine learning strategies, including 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 varying 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, machine learning, quantitative or computational fields OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational fields. * M.S. in STEM, Computer Science, Statistics, Physics, Mathematics, Statistics, Data Science, Machine Learning, or similar fields. * At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. * Advanced experience in SQL, Python, PySpark, or other languages. * Advanced degree skills in exploratory data analysis, feature engineering, and selection, detecting patterns, understanding distributions, visualizing results, and extracting insights to help businesses make informed data-driven decisions. * Experience with supervised machine learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised machine 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 in the workplace. * At least 2 years of direct management, indirect management, and/or cross-functional team management. * Willingness to travel up to/at least 10% of the time for business purposes (within the country and internationally). **Preferred Qualifications** * Ph.D. in STEM, Computer Science, Statistics, Physics, Mathematics, Statistics, Data Science, Machine Learning, or similar fields. * 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 **Why Join arenaflex?** At arenaflex, we're committed to creating a workplace that's inclusive, supportive, and empowering. We believe in the importance of work-life balance and offer a range of benefits to support your well-being. Our company culture is built on a foundation of collaboration, innovation, and continuous learning. We're passionate about making a positive impact on our communities and the world at large. If you're a seasoned data scientist with a passion for driving business growth and innovation through advanced analytics and machine learning, we want to hear from you. Apply now to join our team and be part of a dynamic and forward-thinking organization that's shaping the future of healthcare and retail. Apply Job! Apply for this job