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Posted May 4, 2026

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

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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 pivotal role in driving business growth and innovation through the application of cutting-edge analytics and machine learning techniques. If you're passionate about harnessing the power of data to drive meaningful insights and actionable recommendations, 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 serve nearly 10 million customers every day. Our pharmacists play a vital role in the U.S. healthcare system, providing a wide range of pharmacy and healthcare services that promote equitable access to care for medically underserved populations. At arenaflex, we're committed to delivering a seamless omnichannel experience, leveraging cutting-edge technology to provide high-quality services and products to our customers nationwide. **Job Responsibilities** As a Senior Data Scientist at arenaflex, you'll be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to drive business growth and innovation. Your key responsibilities will include: * Building and deploying complex models using technical expertise in machine learning, statistical modeling, and data engineering * Developing and implementing data-driven solutions to drive business outcomes, including predictive modeling, forecasting, and optimization * 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 leaders, customers, and management teams * Staying up-to-date with emerging trends and technologies in data science, machine learning, and analytics, and applying this knowledge to drive innovation and improvement **Essential Qualifications** * Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or physics, or a related field * Minimum of 4 years of experience in data science, machine learning, or a related field, with a strong background in statistical modeling, data engineering, and programming * Advanced degree in a quantitative field, such as a Master's or Ph.D. in computer science, statistics, mathematics, or physics * Strong programming skills in languages such as Python, PySpark, and SQL, with experience working with large-scale datasets * Experience with machine learning frameworks, including scikit-learn, TensorFlow, and PyTorch * Strong understanding of statistical concepts, including regression, time series analysis, and hypothesis testing * Experience working with cloud-based platforms, including Azure and Databricks **Preferred Qualifications** * Ph.D. in a quantitative field, such as computer science, statistics, mathematics, or physics * Experience working with IoT and Edge AI technologies * Experience in healthcare or a related field * Strong background in reinforcement learning and deep learning techniques **Skills and Competencies** * Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders * Excellent programming skills, with experience working with large-scale datasets and machine learning frameworks * Strong understanding of statistical concepts, including regression, time series analysis, and hypothesis testing * Experience working with cloud-based platforms, including Azure and Databricks * Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams * Strong business acumen, with the ability to drive business outcomes through data-driven decision-making **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, including workshops, conferences, and online courses * Mentorship and coaching from experienced data scientists and business leaders * Opportunities to work on high-impact projects and contribute to business growth and innovation * Collaborative and dynamic work environment, with opportunities to work with cross-functional teams and contribute to business outcomes **Work Environment and Company Culture** arenaflex is a dynamic and collaborative work environment, with a strong focus on innovation, creativity, and teamwork. As a Senior Data Scientist, you'll have the opportunity to work with a talented team of data scientists, engineers, and business leaders to drive business growth and innovation. Our company culture is built on a foundation of trust, respect, and open communication, with a strong emphasis on diversity, equity, and inclusion. **Compensation, Perks, and Benefits** arenaflex offers a competitive compensation package, including: * Salary: $120,000 - $180,000 per year, depending on experience * Bonus: 10% - 20% of annual salary, depending on performance * Benefits: comprehensive health insurance, retirement savings plan, paid time off, holidays, and paid parental leave * Perks: employee store discount, transportation benefit plan, and employee stock purchase plan **How to Apply** If you're a seasoned data scientist with a passion for driving business growth and innovation through data-driven decision-making, we want to hear from you. Apply now to join our team and contribute to the success of arenaflex.
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