Join arenaflex as a Senior Data Scientist

Are you ready to transform raw data into actionable intelligence that drives business decisions? arenaflex is seeking a talented and driven Senior Data Scientist to join our growing analytics team and help shape the future of data-driven healthcare and retail solutions. In this pivotal role, you will leverage your expertise in advanced statistical modeling, machine learning, and predictive analytics to uncover hidden patterns in complex datasets and deliver insights that directly impact millions of customers nationwide.

At arenaflex, we believe that data is the backbone of modern business innovation. As a Senior Data Scientist, you will work alongside talented professionals across finance, research, software development, and business operations to solve challenging problems and create elegant, scalable solutions. This is an exciting opportunity for someone who thrives in a collaborative environment and is passionate about applying quantitative methods to real-world business challenges.

About arenaflex

arenaflex is a leading integrated healthcare, pharmacy, and retail organization with a rich legacy spanning over 170 years of serving communities across the nation. With nearly 9,000 retail locations and a commitment to delivering omnichannel experiences that meet the evolving needs of our customers, arenaflex stands at the intersection of healthcare innovation and customer-centric service. Our mission is to create more fulfilled lives through better health, and we achieve this by leveraging cutting-edge technology and data-driven strategies that ensure equitable access to care for all.

Our analytics team plays a critical role in fulfilling this mission. By harnessing the power of big data, machine learning, and advanced statistical techniques, we develop solutions that improve operational efficiency, enhance customer experiences, and drive meaningful health outcomes. Join arenaflex and become part of a team that is truly transforming the healthcare landscape through innovation and excellence.

What You'll Do

As a Senior Data Scientist at arenaflex, you will be responsible for designing, building, and deploying sophisticated analytical models that solve complex business problems. Your work will directly influence strategic decisions and help shape the future of our retail and healthcare offerings. Here's what you can expect:

Key Responsibilities

Develop cutting-edge machine learning models and analytical tools using your deep expertise in statistical modeling, probability theory, decision science, and advanced quantitative methods. Continuously innovate by adopting new modeling techniques and refining existing processes to stay at the forefront of data science.

Gain a comprehensive understanding of the business context behind large, complex datasets and translate data insights into meaningful, actionable solutions that drive measurable business outcomes.

Apply rigorous analytical methodologies and statistical techniques to analyze massive volumes of data. Utilize advanced statistical approaches including predictive modeling, customer profiling, segmentation analysis, survey design and analysis, and data mining to uncover trends and patterns.

Design and build recommendation engines and optimization algorithms. Perform complex data retrieval, complexity analysis, and scientific computing to support diverse business use cases.

Program professionally using our tech stack including Python, PySpark, Matplotlib, TensorFlow, and PyTorch to build robust, scalable solutions.

Implement machine learning techniques and both supervised and unsupervised algorithms to construct predictive models and prescriptive analytics solutions that address key business challenges.

Build and deploy algorithms including decision trees, regression models, XGBoost, K-means clustering, and anomaly detection systems. Apply interpretable machine learning and Bayesian theory to ensure model transparency and accuracy.

Leverage cloud computing capabilities on Azure and Databricks platforms, and perform complex querying in Snowflake environments.

Utilize industry-standard software tools and methodologies including GitHub for version control, continuous integration and delivery (CI/CD) pipelines, and agile development methodologies.

Collaborate seamlessly with cross-functional teams including finance, researchers, software developers, and business leaders to define product requirements and provide expert analytical support.

Communicate complex technical concepts effectively to business clients and management teams with varying levels of technical expertise. Educate stakeholders about our systems and translate analytical findings into clear, actionable business recommendations.

What We're Looking For

We seek a candidate who combines deep technical expertise with strong business acumen and exceptional communication skills. The ideal candidate will be comfortable working in dynamic environments, managing ambiguity, and delivering results under pressure.

Essential Qualifications

Education & Experience: Bachelor's degree with a minimum of four years of experience in data science, machine learning, quantitative analysis, or computational fields; OR High School diploma/GED with a minimum of seven years of experience in these areas.

Advanced Degree: M.S. in STEM, Computer Science, Information Systems, Physics, Mathematics, Statistics, Data Science, Machine Learning, or a related field.

Technical Experience: At least four years of experience working with large-scale, complex datasets to create and optimize machine learning, predictive, forecasting, and/or optimization models.

Programming Proficiency: Advanced experience in SQL, Python, PySpark, or other programming languages commonly used in data science.

Analytical Skills: Advanced proficiency in exploratory data analysis, feature engineering and selection, pattern detection, distribution analysis, data visualization, and extracting actionable insights to inform business decisions.

Machine Learning Expertise: Experience using decision trees and building classifiers, along with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines) and unsupervised learning techniques (K-means, hierarchical clustering, association rules, principal component analysis).

Cloud & Distributed Computing: Experience with cloud ML systems, distributed computing, data pipelines, cloud data stores, and serving engines.

Experimental Design: Experience designing and analyzing A/B experiments to measure impact and inform product decisions.

Communication: Advanced ability to convey rigorous technical standards and complex issues to non-technical audiences. Experience effectively communicating technical solutions to data scientists, engineering teams, and business stakeholders.

Business Acumen: At least two years of experience contributing to financial decisions within an organizational context.

Leadership: At least two years of direct leadership, indirect management, and/or cross-functional team management experience.

Travel: Willingness to travel up to at least 10% of the time for business purposes (domestic and international).

Preferred Qualifications

Ph.D. in STEM, Computer Science, Information Systems, Physics, Mathematics, Statistics, Data Science, Machine Learning, or a related field.

Experience working with IoT (Internet of Things) and Edge AI technologies.

Experience in Reinforcement Learning methodologies.

Domain expertise in the healthcare industry.

Why arenaflex?

At arenaflex, we understand that our people are our greatest asset. That's why we offer a comprehensive benefits package designed to support your health, wealth, and well-being—both inside and outside the office.

Compensation & Benefits

Competitive Salary: Industry-leading compensation package commensurate with experience and expertise.

Health & Wellness: Comprehensive medical, prescription drugs, dental, and vision coverage for you and your family.

Life Insurance: Company-paid life insurance to protect your family's future.

Retirement Savings: 401(k) retirement savings plan with generous company matching to help you build wealth for the future.

Stock Purchase Plan: Opportunity to purchase arenaflex stock at discounted rates through our employee stock purchase plan.

Paid Time Off: Generous PTO policy allowing you to recharge and maintain work-life balance.

Holidays: Paid holidays throughout the year.

Parental Leave: Paid Parental Leave (PPL) to support families during important life events.

Transportation Benefits: Comprehensive transportation benefit plan to ease your commute.

Employee Discounts: Exclusive employee store discounts on products and services.

Voluntary Coverage: Options for additional voluntary life and personal accident insurance.

Career Growth & Development

At arenaflex, your career trajectory is limited only by your ambition. We are committed to fostering your professional development through:

Continuous learning opportunities and access to cutting-edge training programs.

Mentorship from industry veterans and thought leaders in the data science community.

Exposure to diverse projects spanning multiple business domains.

Clear advancement pathways for technical and leadership career tracks.

Collaborative environment that encourages innovation and creative problem-solving.

Ready to Make an Impact?

If you're passionate about data science, thrive on solving complex problems, and want to make a tangible difference in the healthcare industry, we want to hear from you. Join arenaflex and become part of a team that is transforming how we approach health and wellness through data-driven innovation.

Apply today and take the first step toward an exciting career where your analytical skills will shape the future of healthcare delivery for millions of people. We can't wait to see what you'll accomplish at arenaflex.

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Experienced Senior Data Scientist – Machine Learning, Predictive Analytics & Business Intelligence (Remote/Hybrid Opportunities Available)