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

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.

• *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 machine learning models using technical expertise in data science, predictive analytics, and device learning strategies to provide 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, to educate them about our systems and share insights and recommendations.
• Developing and maintaining large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and/or optimization models.
• Utilizing cloud computing platforms, such as Azure/Databricks, and querying tools, like Snowflake, to analyze and process large datasets.
• Designing and implementing data pipelines, cloud data stores, and serving engines to support data-driven decision-making.
• Staying up-to-date with the latest advancements in machine learning, deep learning, and data science to innovate and adapt to new modeling strategies and procedures.

• *Essential Qualifications**

• Bachelor's degree in a quantitative field, such as computer science, statistics, mathematics, or a related field, or a high school diploma/GED with at least 7 years of experience in data science, machine learning, or a related field.
• Master's degree in a STEM field, such as computer science, statistics, mathematics, or a related field.
• At least 4 years of experience working with large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and/or optimization models.
• Advanced experience in programming languages, such as Python, PySpark, or other languages.
• Advanced degree talent in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support business decision-making.

• *Preferred Qualifications**

• Ph.D. in a STEM field, such as computer science, statistics, mathematics, or a related field.
• Experience working with IoT and Edge AI.
• Experience in reinforcement learning.
• Experience in healthcare.

• *Skills and Competencies**

• Advanced knowledge of machine learning algorithms, including choice trees, regression, XGBoost, K means, and anomaly detection.
• Experience with supervised and unsupervised learning techniques, including linear and logistic regression, time series modeling, generalized linear models, choice trees, support vector machines, and K means clustering.
• Experience with cloud computing platforms, such as Azure/Databricks, and querying tools, like Snowflake.
• Strong programming skills in languages, such as Python, PySpark, or other languages.
• Excellent communication and collaboration skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills, with the ability to extract insights from large datasets.

• *Work Environment and Company Culture**

arenaflex is committed to creating a diverse and inclusive work environment that fosters innovation, collaboration, and growth. As a data scientist at arenaflex, you'll have the opportunity to work with a talented team of professionals who share your passion for data-driven decision-making. Our company culture values:

• Collaboration and teamwork
• Innovation and experimentation
• Continuous learning and professional development
• Diversity, equity, and inclusion
• Work-life balance and flexibility

• *Compensation, Perks, and Benefits**

arenaflex offers a competitive compensation package, including:

• Base salary
• Bonus structure
• Comprehensive benefits package, including medical, dental, and vision insurance
• 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 and personal accident insurance

• *Career Growth Opportunities and Learning Benefits**

arenaflex is committed to supporting the growth and development of our employees. As a data scientist, you'll have access to:

• Ongoing training and professional development opportunities
• Mentorship and coaching from experienced data scientists
• Opportunities to work on high-impact projects and contribute to business growth
• Collaborative and dynamic work environment that fosters innovation and experimentation

• *How to Apply**

If you're a seasoned data scientist with a passion for innovation and collaboration, we'd love to hear from you. Apply now to join our team and help us unlock the full potential of our data assets.