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Posted Apr 24, 2026

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

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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. **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 an Experienced Full Stack Data Scientist at arenaflex, you'll be responsible for: * Building and deploying advanced machine learning models using technical expertise in data science, predictive analytics, and device learning strategies to provide insights and actionable recommendations. * Collaborating with cross-functional teams, including finance, research, software development, and business leaders to define product requirements and provide analytical support. * Communicating complex technical concepts to non-technical stakeholders, including business clients and management teams, to educate them about our systems and share insights and recommendations. * Developing and maintaining large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and/or optimization models. * Utilizing cloud computing platforms, such as Azure/Databricks, and querying tools, like Snowflake, to analyze and process large datasets. * Designing and implementing data pipelines, cloud data stores, and serving engines to support data-driven decision-making. * Staying up-to-date with the latest advancements in machine learning, deep learning, and data science to innovate and adapt to new modeling strategies and procedures. **Essential Qualifications** * Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or a related field, or a high school diploma/GED with at least 7 years of experience in data science, machine learning, or a related field. * Master's degree in a STEM field, such as computer science, statistics, mathematics, or a related field. * At least 4 years of experience working with large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and/or optimization models. * Advanced experience in programming languages, such as Python, PySpark, or other languages. * Advanced degree talent in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support business decision-making. **Preferred Qualifications** * Ph.D. in a STEM field, such as computer science, statistics, mathematics, or a related field. * Experience working with IoT and Edge AI. * Experience in reinforcement learning. * Experience in healthcare. **Skills and Competencies** * Advanced knowledge of machine learning algorithms, including choice trees, regression, XGBoost, K means, and anomaly detection. * Experience with supervised and unsupervised learning techniques, including linear and logistic regression, time series modeling, generalized linear models, choice trees, support vector machines, and K means clustering. * Experience with cloud computing platforms, such as Azure/Databricks, and querying tools, like Snowflake. * Strong programming skills in languages, such as Python, PySpark, or other languages. * Excellent communication and collaboration skills, with the ability to communicate complex technical concepts to non-technical stakeholders. * Strong analytical and problem-solving skills, with the ability to extract insights from large datasets. **Work Environment and Company Culture** arenaflex is committed to creating a diverse and inclusive work environment that fosters innovation, collaboration, and growth. As a data scientist at arenaflex, you'll have the opportunity to work with a talented team of professionals who share your passion for data-driven decision-making. Our company culture values: * Collaboration and teamwork * Innovation and experimentation * Continuous learning and professional development * Diversity, equity, and inclusion * Work-life balance and flexibility **Compensation, Perks, and Benefits** arenaflex offers a competitive compensation package, including: * Base salary * Bonus structure * Comprehensive benefits package, including medical, dental, and vision insurance * 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 and personal accident insurance **Career Growth Opportunities and Learning Benefits** arenaflex is committed to supporting the growth and development of our employees. As a data scientist, you'll have access to: * Ongoing training and professional development opportunities * Mentorship and coaching from experienced data scientists * Opportunities to work on high-impact projects and contribute to business growth * Collaborative and dynamic work environment that fosters innovation and experimentation **How to Apply** If you're a seasoned data scientist with a passion for innovation and collaboration, we'd love to hear from you. Apply now to join our team and help us unlock the full potential of our data assets.