Experienced Senior Data Scientist – Advanced Data Analytics, Predictive Modeling, and Machine Learning Expertise for Strategic Business Insights at arenaflex

Introduction to arenaflex and the Industry

arenaflex is a leading integrated healthcare, pharmacy, and retail company with a rich history of caring for communities. With a mission to create more joyful lives through better health, arenaflex operates nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. As a community health destination, arenaflex serves almost 10 million customers every day, providing a wide range of pharmacy and healthcare services. To deliver high-quality services and products, arenaflex offers a seamless omnichannel experience, with fully integrated physical and virtual systems supported by state-of-the-art technology.

Job Overview

We are seeking an experienced Senior Data Scientist to join our team at arenaflex. As a Senior Data Scientist, you will be responsible for applying advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. You will work closely with cross-functional teams, including finance, researchers, software developers, and business leaders, to outline product requirements and provide analytical support. If you have a passion for data science, machine learning, and driving business growth through data-driven decisions, we encourage you to apply for this exciting opportunity.

Key Responsibilities

• Build models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods.
• Innovate by adapting to new modeling techniques and procedures, and apply analytical rigor and statistical techniques to analyze large quantities of data.
• Develop significant analytic solutions to understand business insights behind large datasets, and build recommendations and optimization algorithmic designs.
• Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools.
• Perform machine learning techniques, including supervised and unsupervised algorithms, to build predictive models and prescriptive solutions to support various business use cases.
• Build algorithms such as decision trees, regression, XGBoost, K-means, and anomaly detection, and utilize Cloud Computing on Azure/Databricks and querying in Snowflake.
• Collaborate with cross-functional teams to outline product requirements and provide analytical support, and communicate verbally and in writing to business clients and management teams with diverse levels of technical expertise.

Essential Qualifications

To be successful in this role, you will need:

• A Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative, or computational capabilities, or a High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative, or computational capabilities.
• An M.S. in STEM, Computer Science, Data Systems, Physics, Mathematics, Statistics, Data Science, Machine Learning, or a similar field.
• 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 languages, and advanced degree skill 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 using decision trees, building classifiers, and supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K-means, hierarchical clustering, association rules, principal components).

Preferred Qualifications

Preferred candidates will have:

• A Ph.D. in STEM, Computer Science, Data Systems, Physics, Mathematics, Statistics, Data Science, Machine Learning, or a similar field.
• Experience working with IoT and Edge AI, and Reinforcement Learning.
• Experience in the Healthcare industry.

Skills and Competencies

To succeed in this role, you will need to possess:

• Strong technical skills in data science, machine learning, and programming languages such as Python, PySpark, and SQL.
• Excellent analytical and problem-solving skills, with the ability to apply analytical rigor and statistical techniques to analyze large quantities of data.
• Strong communication and collaboration skills, with the ability to communicate verbally and in writing to business clients and management teams with diverse levels of technical expertise.
• Experience working in dynamic environments and operating with ambiguity, prioritizing needs, and delivering results.

Career Growth Opportunities and Learning Benefits

At arenaflex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you will have the opportunity to work on complex and challenging projects, and to develop your skills and expertise in data science and machine learning. You will also have access to training and development programs, and the opportunity to work with a talented and experienced team of professionals.

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values diversity, inclusion, and community involvement. We offer a collaborative and supportive work environment, with a strong focus on teamwork and employee engagement. Our company culture is built on a foundation of respect, integrity, and a commitment to excellence, and we are dedicated to creating a positive and inclusive work environment for all employees.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including a salary range of $30-45 per hour. We also offer a range of perks and benefits, including:

• 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

Conclusion

If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at arenaflex. As a Senior Data Scientist, you will have the opportunity to work on complex and challenging projects, and to develop your skills and expertise in data science and machine learning. You will also have the opportunity to work with a talented and experienced team of professionals, and to contribute to the success of a leading integrated healthcare, pharmacy, and retail company. Apply now to join our team and take your career to the next level!