**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 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.