Experienced Data Scientist – Advanced Analytics & Machine Learning Solutions (Remote/Hybrid)

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Join arenaflex as a Data Scientist: Unlock the Power of Global Data

Are you a passionate numbers enthusiast who thrives on solving complex business challenges by uncovering hidden patterns and opportunities within massive datasets? Do you dream of applying your analytical expertise to influence decisions that impact millions of lives around the world? If so, arenaflex invites you to join our global technology team as a Data Scientist where the scope and volume of our data are virtually limitless.

At arenaflex, we believe that data is the foundation of modern retail innovation. As an Information Researcher and Data Scientist within our Worldwide Tech division, you will have the extraordinary opportunity to extract key insights, leverage pattern recognition to develop predictive analytics, and translate your findings into actionable business strategies that drive measurable results. Every day presents new challenges and exciting projects that will tap into your unique interests and strengths.

Why arenaflex?

For over six decades, arenaflex has been helping people save money so they can live better. Founded on the simple philosophy of offering more for less, we have grown into a global technology powerhouse with 2.3 million associates worldwide and more than 230 million weekly customers. Today, we are at the forefront of retail transformation, investing heavily in emerging technologies and building a workforce of exceptional talent like you.

Our scale is unmatched—no other company has the reach and influence that arenaflex possesses. This means your work as a Data Scientist will have real impact, influencing business decisions that affect millions of customers and thousands of stores globally. We are looking for curious, innovative minds who are ready to embrace challenges and help us shape the future of retail technology.

What You'll Do

As a Data Scientist at arenaflex, you will serve as a trusted advisor on analysis and modeling techniques, selecting the best approaches for both structured and unstructured, complex data sets. You will develop custom analysis models that generate insights creating significant value for our customers while opening competitive advantages for our organization.

Your core responsibilities will include:

• Advanced Analytics: Consult on analysis and modeling techniques, selecting the best fit for structured and unstructured, complex data, and developing custom analysis models to generate insights that drive value for our customers and unlock competitive advantage for our organization


• Data Engineering Collaboration: Work closely with our talented data engineering team to gather the right information from our diverse sources, enabling you to implement advanced statistical techniques and design interventions that improve how our business performs


• Exploratory Research: Conduct exploratory research involving hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive) to uncover hidden opportunities


• Cross-Functional Partnership: Partner with business and technical stakeholders to translate challenging retail business problems into cutting-edge data science solutions that deliver real results


• Performance Monitoring: Create processes and tools that monitor, analyze, and continuously improve model performance and data accuracy, ensuring our insights remain reliable and actionable


• Innovation and Growth: Push the boundaries of what's possible with AI and machine learning in a dynamic, fast-paced environment that rewards creativity and bold thinking

What You'll Bring

We are seeking a curious, out-of-the-box thinker who is constantly watching for opportunities to improve and evolve data science solutions. You should have consistently high standards, with an innate passion for quality in everything you do. At arenaflex, we embrace failure as a learning opportunity—you dare to fail fast so you can iterate and improve quickly.

The ideal candidate will bring:

• Full-Stack Data Science Expertise: A proven ability to develop, enhance, and scale models for production environments, taking solutions from concept to deployment


• Analytical Thinking: The ability to connect the "how" and "why," using your deep knowledge of data science theories and techniques to derive the best approach that is fit-for-purpose


• Statistical Mastery: Demonstrated proficiency with statistical methods and advanced modeling techniques including SVM, Random Forest, Bayesian inference, graph models, NLP, Computer Vision, and neural networks


• Programming Proficiency: Strong skills in languages used to manipulate data and draw insights from massive datasets, including Python, R, and SQL


• Database Expertise: Experience with database technologies and distributed datastores including SQL and NoSQL systems


• Technology Stack Knowledge: Familiarity with Spark, Hive, TensorFlow, and other big data processing frameworks


• Communication Skills: The ability to translate complex technical findings into clear, actionable business recommendations for non-technical stakeholders

Minimum Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 2 years of experience in analytics or a related field; OR


• Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field; OR


• 4 years of experience in analytics or a related field

Preferred Qualifications

In addition to the minimum requirements, we prefer candidates with:

• Advanced degrees in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics


• Experience with machine learning, AI, and optimization models


• Successful completion of assessments in Python, Spark, Scala, or R


• Experience with open-source frameworks such as scikit-learn, TensorFlow, and LightGBM


• Experience in retail, e-commerce, or supply chain analytics


• Published research or contributions to open-source data science projects

Work Environment and Culture

At arenaflex, we believe in the power of flexibility. We utilize a hybrid approach to working that is primarily virtual while remaining close to the areas our Worldwide Tech teams call home. This approach helps us make faster decisions, eliminate location barriers across our global team, be more flexible in our personal lives, and spend less time commuting.

However, being together face-to-face remains an important part of our culture and shared success. We use our campuses to collaborate and be together in person as business needs require and for development and networking opportunities. Our U.S. hubs are located in Atlanta, GA; Bentonville, AR; Charlotte, NC; Dallas, TX; Hoboken, NJ; Reston, VA; Seattle, WA; and Sunnyvale, CA.

From entry-level to executive positions, arenaflex provides unlimited opportunities for growth and career development. We offer clear expectations, empower associates to manage their work, and hold ourselves and each other to the highest standards. Our scale enables us to invest in our people, providing training in the skills of the future and creating pathways for advancement.

Benefits and Perks

Beyond our competitive compensation package, we offer performance incentives and an array of benefits designed to support your wellbeing and financial security:

• Competitive Salary: Industry-leading compensation reflective of your experience and expertise


• Retirement Savings: 401(k) match to help you save for the future


• Stock Purchase Plan: Opportunity to own part of the company you help build


• Paid Family Leave: Paid maternity and parental leave to support you during important life moments


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


• Health & Wellness: Comprehensive health plans covering medical, dental, and vision


• Professional Development: Access to training programs, certifications, and career development resources


• Employee Discounts: Discounts on arenaflex products and services

Equal Opportunity Employer

arenaflex, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best positioned to help our associates, customers, and the communities we serve live better when we truly know them. That means understanding, respecting, and valuing diversity of unique styles, experiences, personalities, ideas, and opinions - while being inclusive of all individuals.

Our commitment to diversity and inclusion is fundamental to who we are. We embrace different perspectives, backgrounds, and skillsets, recognizing that this diversity drives innovation and strengthens our team. We are proud to be an employer that values each individual for who they are and what they bring to our organization.

Ready to Make an Impact?

If you are ready to apply your data science expertise to meaningful problems at a scale like no other, we want to hear from you. Join arenaflex and be part of a team that is reshaping retail through technology, innovation, and a relentless focus on customer value.

Your work will have an impact every single day. What are you waiting for?

Apply now and become part of something bigger than yourself.