**Experienced Full Stack Data Scientist – Web & Cloud Application Development**

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 data science, predictive analytics, and machine learning techniques. If you're passionate about leveraging data to tell compelling stories and drive business outcomes, 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 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 a Senior Data Scientist at arenaflex, you'll be responsible for applying advanced data science, predictive analytics, and machine learning techniques to drive business growth and innovation. Your key responsibilities will include: * Building models and algorithms using technical expertise in machine learning, statistical modeling, and data engineering to provide insights and actionable recommendations * Developing significant analytic solutions that understand the business context behind large datasets * Applying analytical rigor and statistical techniques to research large quantities of data, using advanced statistical methods including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining * Building suggestions and optimization algorithmic designs, performing data retrieval, complexity analysis, and medical computing * Programming using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc. * Performing data engineering strategies, and supervised and unsupervised algorithms to build predictive models and prescriptive answers to support diverse business use cases * Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc. * Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake * Utilizing software tools and methodologies GitHub, Continuous integration and delivery, 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 team with diverse levels of technical expertise, educating them about our systems, as well as 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 capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational capabilities * M.S. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar * 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 skill in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to help businesses make 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 skill 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 efficiently 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 * Willing to travel up to/at least 10% of the time for business purposes (within the country and out of the country) **Preferred Qualifications** * Ph.D. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar * Experience working with IoT, and Edge AI is a plus * Experience in Reinforcement Learning is a plus * Experience in Healthcare is a plus **Career Growth Opportunities and Learning Benefits** At arenaflex, we're committed to helping our employees grow and develop their careers. As a Senior Data Scientist, you'll have access to a range of learning and development opportunities, including: * Regular training and development programs to enhance your data science and machine learning skills * Opportunities to work on high-impact projects and contribute to business growth and innovation * Collaborative and dynamic work environment with a team of experienced data scientists and business leaders * Flexible work arrangements and remote work options to support work-life balance * Competitive salary and benefits package, including company-paid life insurance, medical, prescription drugs, dental, and vision, retirement savings plan, employee stock purchase plan, paid time off, holidays, paid parental leave, transportation benefit plan, employee store discount, and voluntary life & personal accident insurance **Work Environment and Company Culture** At arenaflex, we're proud of our inclusive and diverse work environment. Our company culture is built on the values of collaboration, innovation, and customer-centricity. As a Senior Data Scientist, you'll be part of a dynamic team that's passionate about using data to drive business growth and innovation. Our work environment is designed to support collaboration and creativity, with flexible work arrangements and remote work options to support work-life balance. **Compensation, Perks, and Benefits** We offer a competitive salary and benefits package, including: * Salary: $30-45/Hour * Company-paid life insurance * Medical, prescription drugs, dental, and vision * Retirement savings plan * Employee stock purchase plan * Paid time off * Holidays * Paid parental leave * Transportation benefit plan * Employee store discount * Voluntary life & personal accident insurance **How to Apply** If you're passionate about using data to drive business growth and innovation, we want to hear from you! Apply now and let's discuss how you can become a vital part of our success story. Apply for this job