**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 Full Stack Data Scientist, you'll play a pivotal role in driving business growth and innovation through the application of advanced analytics and machine learning techniques. If you're passionate about leveraging data to tell compelling stories and drive meaningful outcomes, we want to hear from you.

• *About arenaflex**

arenaflex is a leading healthcare and retail organization with a rich history of caring for communities. Our mission is to create more joyful lives through better health. 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 by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for the nation's medically underserved populations.

• *Job Responsibilities**

As a Full Stack Data Scientist at arenaflex, you'll be responsible for:

• Building and deploying advanced analytics and machine learning models to drive business growth and innovation
• Developing and maintaining large-scale data pipelines and architectures to support data-driven decision making
• Collaborating with cross-functional teams to design and implement data-driven solutions that meet business needs
• Communicating complex technical concepts to non-technical stakeholders and advocating for data-driven decision making
• Staying up-to-date with the latest advancements in data science and machine learning, and applying this knowledge to drive business outcomes

• *Key Responsibilities:**

• Develop and deploy advanced analytics and machine learning models to drive business growth and innovation
• Build and maintain large-scale data pipelines and architectures to support data-driven decision making
• Collaborate with cross-functional teams to design and implement data-driven solutions that meet business needs
• Communicate complex technical concepts to non-technical stakeholders and advocate for data-driven decision making
• Stay up-to-date with the latest advancements in data science and machine learning, and apply this knowledge to drive business outcomes

• *Essential Qualifications**

• Bachelor's degree in a quantitative field (e.g., computer science, statistics, mathematics, physics) or a related field
• Minimum 4 years of experience in data science, machine learning, or a related field
• Advanced degree in a quantitative field (e.g., master's or Ph.D.) is preferred
• Proven experience working with large-scale datasets and developing and deploying advanced analytics and machine learning models
• Strong programming skills in languages such as Python, R, or SQL
• Experience with cloud-based platforms such as AWS, Azure, or Google Cloud is a plus
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

• *Preferred Qualifications**

• Ph.D. in a quantitative field (e.g., computer science, statistics, mathematics, physics) 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

• *How to Apply**

If you're passionate about leveraging data to drive business growth and innovation, we want to hear from you. Please submit your application through our website, including your resume and a cover letter outlining your experience and qualifications.