**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 helping us unlock the full potential of our data assets and drive business growth through advanced analytics and machine learning. If you're passionate about leveraging cutting-edge technologies to 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 a senior 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 deliver 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, through verbal and written presentations.
• Developing and maintaining large-scale data pipelines, including data retrieval, complexity analysis, and medical computing.
• Utilizing cloud computing platforms, such as Azure/Databricks, and querying tools, like Snowflake, to extract insights from complex data sets.
• Designing and implementing A/B experiments to drive business outcomes.
• Staying up-to-date with emerging trends and technologies in data science, including deep learning, natural language processing, and computer vision.

• *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 analysis, and programming.
• Advanced experience in SQL, Python, PySpark, or other programming languages.
• Experience with supervised and unsupervised machine learning techniques, including linear and logistic regression, decision trees, clustering, and anomaly detection.
• Experience with cloud-based data platforms, including cloud ML systems, distributed computing, and data pipelines.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• *Preferred Qualifications**

• Master's or Ph.D. in a quantitative field, such as computer science, statistics, mathematics, or physics.
• Experience with IoT and Edge AI.
• Experience in healthcare or a related field.
• Strong experience with deep learning, natural language processing, and computer vision.

• *What We Offer**

• Competitive salary and benefits package, including medical, dental, and vision insurance, retirement savings plan, and paid time off.
• Opportunities for professional growth and development, including training and education programs.
• Collaborative and dynamic work environment, with a focus on innovation and experimentation.
• Recognition and rewards for outstanding performance and contributions to the team.

• *How to Apply**

If you're a motivated and experienced data scientist looking to join a dynamic team, we encourage you to apply. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you!