**Experienced Full Stack Data Scientist – Web & Cloud Application Development**

• *Join arenaflex, a leading healthcare and retail company, as a Senior Data Scientist and contribute to the development of innovative solutions that drive business growth and improve patient outcomes.**

• *About arenaflex**

arenaflex is a global healthcare and retail leader with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. With 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.

• *Job Summary**

We are seeking an experienced Full Stack Data Scientist to join our team at arenaflex. As a Senior Data Scientist, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to develop insights and actionable recommendations. You will also provide consulting support for program improvement and drive meaningful initiatives. This is an exciting opportunity to work with a talented team of data scientists, engineers, and business leaders to develop innovative solutions that drive business growth and improve patient outcomes.

• *Key Responsibilities**

• Build models and tools using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative methods. Innovate by adapting to new modeling techniques and procedures.
• Understand the business context behind large datasets and develop significant analytic solutions.
• Apply analytical rigor and statistical techniques to analyze large datasets, using advanced statistical methods including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Develop suggestions and optimization algorithmic designs, perform data retrieval, complexity analysis, and clinical computing.
• Program using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
• Perform machine learning strategies, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
• Build algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
• Utilize Cloud Computing on Azure/Databricks, querying in Snowflake.
• Utilize software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
• Collaborate with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
• Communicate verbally and in writing to business clients and management teams with varying levels of technical expertise, educating them about our systems, as well as sharing insights and recommendations.

• *Essential Qualifications**

• Bachelor's degree and a minimum of four years of experience in data science, machine learning, quantitative or computational fields OR High School/GED and a minimum of seven years of experience in data science, machine learning, quantitative or computational fields.
• M.S. in STEM, computer science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar.
• At least four 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 languages.
• Advanced degree talent in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to help businesses make informed data-driven decisions.
• Experience using decision trees, and building classifiers.
• 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 talent 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 efficiently communicating technical solutions and advocating to data scientists, engineering teams, and business audiences.
• At least two years of experience contributing to business decisions in the workplace.
• At least two years of direct management, indirect management, and/or cross-functional team management.
• Willing to travel up to/at least 10% of the time for business purposes (within the country and out of the country).

• *Preferred Qualifications**

• Ph.D. in STEM, computer science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar.
• Experience working with IoT, and Edge AI is a plus.
• Experience in Reinforcement Learning is a plus.
• Experience in Healthcare is a plus.

• *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?**

• Collaborate with a talented team of data scientists, engineers, and business leaders to develop innovative solutions that drive business growth and improve patient outcomes.
• Work on complex, real-world problems that require advanced data science, machine learning, and statistical techniques.
• Develop and apply advanced machine learning and statistical models to drive business decisions and improve patient outcomes.
• Utilize cutting-edge technologies and tools, including cloud computing, distributed computing, and data pipelines.
• Contribute to the development of new products and services that improve patient outcomes and drive business growth.
• Enjoy a dynamic and supportive work environment that encourages collaboration, innovation, and continuous learning.
• Participate in professional development opportunities, including training, mentorship, and conference attendance.
• Enjoy a comprehensive benefits package, including medical, dental, vision, and life insurance, as well as a 401(k) plan and employee stock purchase plan.

• *How to Apply**

If you are a motivated and experienced data scientist with a passion for developing innovative solutions that drive business growth and improve patient outcomes, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience, skills, and qualifications for this role. We look forward to hearing from you!