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

At arenaflex, we are committed to creating more joyful lives through better health. As a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities, we are seeking an experienced Full Stack Data Scientist to join our team. This is an exciting opportunity to work with a talented group of professionals who share your passion for using data science and machine learning to drive business growth and improve patient outcomes.

• *About arenaflex**

arenaflex is a leading healthcare, pharmacy, and retail company with a strong presence in the US market. With over 9,000 retail locations across the country, we serve nearly 10 million customers every day. Our pharmacists play a vital role in the US healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for medically underserved populations. To meet the needs of our customers and patients, we offer a seamless omnichannel experience, with fully integrated physical and digital platforms supported by cutting-edge technology to deliver high-quality services and products in communities nationwide.

• *Job Responsibilities**

As a Full Stack Data Scientist at arenaflex, you will be responsible for using advanced data science and machine learning techniques to drive business growth and improve patient outcomes. Your primary responsibilities will include:

• Building models and algorithms using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative methods. You will innovate by adapting to new modeling techniques and procedures.
• Understanding the business context behind large datasets and developing significant analytical solutions.
• Applying analytical rigor and statistical techniques to analyze large datasets, using advanced statistical methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. You will build recommendations and optimization algorithmic designs, perform data retrieval, complexity analysis, and clinical computing.
• Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools.
• Performing machine learning strategies, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
• Building algorithms such as decision trees, regression, XGBoost, K means, and anomaly detection. You will also work with interpretable ML, Bayesian theory, and other advanced techniques.
• Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake, and other cloud-based platforms.
• Utilizing software tools and methodologies such as GitHub, Continuous Integration and Delivery, and Agile Methodologies.
• Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
• Communicating verbally and in writing to business clients and management teams with varying levels of technical expertise, educating them about our systems, and sharing insights and recommendations.

• *Essential Qualifications**

• Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative or computational fields OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational fields.
• M.S. in STEM, Computer Science, Statistics, Physics, Mathematics, Statistics, Data Science, Machine Learning, or similar fields.
• At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
• Advanced experience in SQL, Python, PySpark, or other programming languages.
• Advanced degree skills in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven decisions.
• Experience with supervised machine learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised machine learning techniques (K means, hierarchical clustering, association rules, principal components).
• Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores, and serving engines.
• Experience designing and analyzing A/B experiments.
• Advanced degree skills in conveying rigorous technical standards and issues to non-experts.
• Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results.
• Experience effectively communicating technical solutions and advocating to data scientists, engineering teams, and business audiences.
• At least 2 years of experience contributing to business decisions in the workplace.
• At least 2 years of direct management, indirect management, and/or cross-functional team management.
• Willingness to travel up to at least 10% of the time for business purposes (within the country and internationally).

• *Preferred Qualifications**

• Ph.D. in STEM, Computer Science, Statistics, Physics, Mathematics, Statistics, Data Science, Machine Learning, or similar fields.
• 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

• *Why Join arenaflex?**

At arenaflex, we are committed to creating more joyful lives through better health. We offer a dynamic and supportive work environment that encourages collaboration, innovation, and growth. Our team is passionate about using data science and machine learning to drive business growth and improve patient outcomes. If you share our passion and are looking for a challenging and rewarding career opportunity, we encourage you to apply.

• *How to Apply**

If you think this role describes you, we would love to hear from you. Apply now to join our team.