Senior Data Scientist – Omnichannel Analytics & AI Modeling (Remote) – $26/hr – arenaflex

About arenaflex

arenaflex is a global leader in entertainment‑driven consumer products, digital experiences, and immersive storytelling. With a portfolio that spans theme parks, retail merchandise, gaming, and streaming platforms, arenaflex combines creativity with cutting‑edge technology to deliver unforgettable moments to millions of fans worldwide. Our data‑centric culture empowers teams to turn massive, multi‑source datasets into actionable insights that shape product strategy, enhance guest experiences, and drive revenue growth across both brick‑and‑mortar and online channels. As a remote‑first organization, arenaflex embraces flexibility, collaboration, and continuous learning, offering a vibrant workplace where innovative thinkers thrive.

Why This Role Matters

The Product Frameworks and Examination group is the analytical engine behind arenaflex’s Consumer Products, Gaming, and Distribution (CPGP) division. This division creates, markets, and sells arenaflex‑branded merchandise around the globe. As a Senior Data Scientist, you will lead the design, development, and deployment of advanced predictive models that power omnichannel decision‑making. Your work will directly influence product assortment, pricing, inventory optimization, and personalized digital experiences, ensuring that arenaflex remains at the forefront of consumer trends and technology.

Key Responsibilities

• Strategic Leadership: Define the vision and roadmap for the Data Science team, focusing on omnichannel analytics that span physical retail, e‑commerce, and emerging digital platforms.
• Cross‑Functional Collaboration: Partner with analysts, product owners, and business leaders to translate high‑level business objectives into concrete data‑driven solutions.
• Model Development & Deployment: Build, validate, and operationalize statistical, machine‑learning, and AI models that uncover insights, forecast demand, and recommend actions.
• Data Pipeline Architecture: Design robust data pipelines using modern ETL tools to ensure clean, timely, and reliable data feeds for analytics and reporting.
• Best Practices & Governance: Establish and enforce data science standards, code review processes, and documentation to maintain high quality and reproducibility.
• Visualization & Storytelling: Create compelling dashboards, visualizations, and presentations that translate complex analytical findings into clear business narratives for diverse audiences.
• Innovation & Research: Apply cutting‑edge techniques such as deep learning, causal inference, and time‑series analysis to solve novel business challenges.
• Mentorship: Coach junior data scientists and analysts, fostering a culture of curiosity, rigor, and continuous improvement.
• Agile Delivery: Lead sprint planning, backlog grooming, and retrospectives within agile frameworks (Scrum, Kanban) to ensure timely delivery of high‑impact projects.

Essential Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field (Master’s or Ph.D. preferred).
• Minimum 2 years of hands‑on experience building predictive, statistical, or AI models that solve real‑world business problems, preferably in a retail or consumer‑goods environment.
• Demonstrated expertise in web analytics and customer segmentation, using data to drive personalized online experiences.
• Proven ability to lead small, fast‑paced teams through end‑to‑end data analysis, hypothesis generation, and solution delivery.
• Strong problem‑solving mindset with the capacity to tackle ambiguous, multi‑dimensional challenges and translate findings into strategic recommendations.
• Experience with cloud platforms (AWS, Azure, GCP) and modern data engineering concepts.
• Solid understanding of AI/ML methodologies, including supervised and unsupervised learning, model evaluation, and deployment pipelines.
• Excellent communication and interpersonal skills, capable of influencing stakeholders at all levels.

Preferred Qualifications & Skills

• Advanced degree (M.S. or Ph.D.) in a quantitative discipline.
• Hands‑on experience with agile project management tools and methodologies (Scrum, Kanban, SAFe).
• Track record of delivering production‑grade models in a high‑velocity environment.
• Familiarity with causal inference techniques, A/B testing frameworks, and experimental design.
• Experience mentoring diverse, geographically distributed teams.
• Passion for the entertainment and consumer‑product space, with an eye for emerging trends.

Technical Skills & Tools

• Data Pipelines & ETL: SQL, SSIS, Alteryx, KNIME, Azure Data Factory, or similar tools.
• Data Warehousing: Snowflake, Microsoft SQL Server, Redshift, or BigQuery.
• Programming Languages: Python (pandas, scikit‑learn, TensorFlow/PyTorch), R, VBA, JavaScript, SnowSQL.
• Statistical & Machine‑Learning Libraries: statsmodels, R‑caret, SAS, PySpark MLlib.
• Visualization: Tableau, Power BI, Looker, matplotlib, seaborn.
• AI & Advanced Analytics: Regression analysis, clustering, dimensionality reduction, time‑series forecasting, causal inference, random forest, gradient boosting, deep learning.
• Version Control & Collaboration: Git, GitHub, Bitbucket, JIRA, Confluence.

Career Growth & Learning Opportunities

arenaflex invests heavily in professional development. As a senior member of the Data Science team, you will have access to:

• Mentorship from industry‑leading experts in AI, retail analytics, and digital commerce.
• Sponsored certifications (e.g., AWS Certified Machine Learning, Google Cloud Professional Data Engineer).
• Opportunities to present at internal conferences, publish whitepapers, and contribute to open‑source projects.
• Clear promotion pathways to Lead Data Scientist, Analytics Director, or Product Strategy roles.
• Cross‑functional rotations that expose you to product development, marketing, and supply‑chain operations.

Work Environment & Culture at arenaflex

Our remote‑first policy means you can work from anywhere in the United States while staying tightly connected to a global team. arenaflex fosters an inclusive culture where creativity, curiosity, and collaboration are celebrated. Regular virtual coffee chats, team‑building hackathons, and quarterly “Innovation Days” keep the energy high and ideas flowing. We prioritize work‑life balance, offering flexible schedules, generous paid time off, and resources for mental‑wellness.

Compensation, Benefits & Perks

arenaflex offers a competitive hourly rate of $26, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision insurance with multiple plan options.
• 401(k) retirement plan with company match.
• Annual performance bonus tied to individual and company success.
• Paid parental leave, adoption assistance, and family‑friendly policies.
• Professional development stipend, tuition reimbursement, and access to an extensive learning library.
• Wellness programs, virtual fitness classes, and employee assistance resources.
• Company‑wide events, merchandise discounts, and exclusive access to arenaflex entertainment experiences.

How to Apply

If you are ready to shape the future of omnichannel analytics at a world‑renowned entertainment brand, we want to hear from you. Submit your resume and a brief cover letter highlighting your most impactful data science projects.

Apply Job!

Join arenaflex Today

At arenaflex, data isn’t just numbers—it’s the story behind every guest interaction, every product on the shelf, and every click on a digital platform. By joining our team, you become part of a mission‑driven organization that values curiosity, impact, and the magic of turning insights into experiences that delight millions. Take the next step in your career and help us create the future of entertainment‑powered commerce.