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

At arenaflex, we are on a mission to revolutionize the way we approach data-driven decision making. As a seasoned data scientist, you will play a pivotal role in driving business growth and innovation through the application of advanced analytics and machine learning techniques. If you are passionate about leveraging data to tell compelling stories and drive meaningful insights, 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 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 medically underserved populations. At arenaflex, we are committed to delivering a seamless omnichannel experience, leveraging cutting-edge technology to provide high-quality services and products to communities nationwide.

• *Job Responsibilities**

As a Senior Data Scientist at arenaflex, you will be responsible for:

• Building and deploying advanced machine learning models using technical expertise in data science, statistical modeling, and data engineering.
• Developing and maintaining large-scale data pipelines to extract insights from complex datasets.
• 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 and customers.
• Designing and implementing A/B experiments to inform business decisions.
• Working with cloud-based technologies, including Azure, Databricks, Snowflake, and GitHub.
• Utilizing programming languages, such as Python, PySpark, Matplotlib, TensorFlow, and PyTorch.
• Building and deploying predictive models using supervised and unsupervised learning techniques, including choice trees, regression, XGBoost, K means, and anomaly detection.
• Interpreting and visualizing results to inform business decisions.

• *Essential Qualifications**

• Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or engineering, or a related field.
• Minimum of 4 years of experience in data science, machine learning, or a related field, or a minimum of 7 years of experience in a related field with a high school diploma or equivalent.
• Advanced degree in a quantitative field, such as a Master's or Ph.D. in computer science, statistics, mathematics, or engineering.
• At least 4 years of experience working with large-scale, complex datasets to create and optimize machine learning models.
• Advanced experience in SQL, Python, PySpark, or other programming languages.
• Experience with exploratory data analysis, feature engineering, and selection, pattern detection, distribution analysis, and visualization.
• Experience with supervised and unsupervised learning techniques, including choice trees, regression, XGBoost, K means, and anomaly detection.
• Experience with cloud-based technologies, including Azure, Databricks, Snowflake, and GitHub.
• Experience designing and implementing A/B experiments.
• Advanced degree talent in conveying rigorous technical standards and issues to non-experts.
• Experience working in a dynamic environment and working with ambiguity, prioritizing needs, and delivering results.
• Experience efficiently communicating technical answers and advocating to research scientists, engineering teams, and business audiences.

• *Preferred Qualifications**

• Ph.D. in a quantitative field, such as computer science, statistics, mathematics, or engineering.
• Experience working with IoT and Edge AI.
• Experience in Reinforcement Learning.
• Experience in Healthcare.

• *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

• *What We Offer**

• A dynamic and collaborative work environment with a team of experienced professionals.
• Opportunities for career growth and professional development.
• A comprehensive benefits package, including medical, dental, and vision insurance, retirement savings plan, and paid time off.
• A competitive salary and bonus structure.
• The chance to work on high-impact projects that drive business growth and innovation.

• *How to Apply**

If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you.