**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 critical 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 stories, identify opportunities, 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 an Experienced Full Stack Data Scientist at arenaflex, you'll be responsible for:

• Building and deploying advanced analytics and machine learning models using technical expertise in data science, statistical modeling, and data engineering.
• Developing and maintaining complex data pipelines, data warehouses, and data lakes to support business intelligence and data-driven decision making.
• Collaborating with cross-functional teams, including finance, research, software development, and business leaders, to define product requirements and provide analytical support.
• Communicating technical insights and recommendations to business stakeholders, including senior leadership, through clear and concise verbal and written reports.
• Designing and implementing A/B experiments to measure the impact of business initiatives and inform data-driven decision making.
• Staying up-to-date with emerging trends and technologies in data science, machine learning, and artificial intelligence to drive innovation and improvement.

• *Key Skills and Qualifications**

• Bachelor's degree in a quantitative field, such as mathematics, statistics, computer science, or physics, or a related field.
• Minimum of 4 years of experience in data science, machine learning, or a related field, or a combination of education and experience.
• Advanced degree in a quantitative field, such as a Master's or Ph.D. in a related field.
• Strong programming skills in languages such as Python, R, or SQL, with experience working with data science libraries and frameworks.
• Experience with cloud-based data platforms, such as Azure, Databricks, or Snowflake.
• Familiarity with machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn.
• Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
• Experience working in a dynamic environment, with the ability to prioritize tasks and manage multiple projects simultaneously.

• *Preferred Qualifications**

• Ph.D. in a quantitative field, such as mathematics, statistics, computer science, or physics.
• Experience working with IoT and Edge AI technologies.
• Experience in healthcare or a related field.
• Familiarity with reinforcement learning techniques and algorithms.

• *Benefits**

• Competitive salary and bonus structure.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• Retirement savings plan, including a 401(k) match.
• Employee stock purchase plan.
• Paid time off (PTO) and holidays.
• Paid parental leave (PPL).
• Transportation benefit plan.
• Employee store discount.
• Voluntary life and personal accident insurance.

• *Why Join arenaflex?**

At arenaflex, we're committed to creating a workplace that is inclusive, diverse, and supportive of our employees' growth and development. We believe that our employees are our greatest asset, and we're dedicated to providing them with the resources and opportunities they need to succeed. If you're passionate about data science, machine learning, and driving business growth, we want to hear from you. Apply now to join our team and be a part of something amazing!