Experienced Senior Data Scientist – Omni-Channel Retail Analytics & Predictive Modeling Specialist (Remote)

Join arenaflex as a Senior Data Scientist – Drive the Future of Omni-Channel Retail Intelligence

Are you a passionate data science professional who thrives on transforming complex datasets into strategic business insights? Do you dream of leveraging cutting-edge machine learning, predictive modeling, and advanced analytics to shape the future of consumer products, gaming, and global distribution? arenaflex is searching for a visionary Senior Data Scientist to join our dynamic Product Frameworks and Analysis team within the Consumer Products, Gaming, and Publishing (CPGP) division. This is a fully remote opportunity offering a competitive hourly rate of $26, where your expertise will directly influence multi-million-dollar business decisions across both brick-and-mortar and e-commerce platforms worldwide.

At arenaflex, we believe data is the heartbeat of innovation. As a globally recognized leader in entertainment, media, and consumer experiences, we are committed to creating magical moments for families and fans across the globe. Our data science team is at the forefront of this mission, building the analytical infrastructure that powers smarter decisions, deeper customer engagement, and breakthrough product strategies. If you're ready to lead, mentor, and architect the next generation of data-driven solutions, we want to hear from you.

About the Role and Team

The Product Frameworks and Analysis group at arenaflex is a strategic powerhouse within our CPGP organization, responsible for designing, developing, and deploying analytical solutions that drive global product sales and consumer engagement. As a Senior Data Scientist, you will serve as a technical leader, subject matter expert, and mentor to a talented team of data professionals. You will lead end-to-end data science initiatives, architect scalable data pipelines, and deliver actionable insights that directly impact revenue growth, customer experience, and operational efficiency across our diverse portfolio of beloved brands and franchises.

This role is ideal for a seasoned analytics professional who excels at the intersection of business strategy, advanced statistics, and modern data engineering. You will collaborate cross-functionally with analysts, technical partners, and senior business leaders to establish a robust analytics roadmap aligned with organizational priorities. Your ability to translate ambiguous business requirements into precise technical specifications will be critical to your success.

Key Responsibilities

• Strategic Leadership and Vision: Provide executive-level leadership for the data science team, setting strategic direction and vision for omni-channel analytics spanning both physical retail and e-commerce ecosystems.
• Cross-Functional Collaboration: Lead and orchestrate cross-functional teams, partnering with analysts, technical specialists, and business leaders to develop and maintain a comprehensive analytics roadmap based on evolving business needs.
• Requirements Translation: Convert complex business requirements into precise, actionable product specifications that guide development efforts and ensure alignment with strategic objectives.
• Solution Architecture: Lead solution engineering sessions, aligning analytical strategies with business drivers, challenges, and long-term organizational goals to deliver maximum value.
• Data Pipeline Engineering: Design, build, and optimize efficient data pipelines to address critical business questions, leveraging modern technical tools and retail systems.
• Best Practices and Code Quality: Establish and enforce data science team best practices, lead code reviews, and ensure the highest standards of quality, reproducibility, and documentation across all deliverables.
• Data Visualization and Storytelling: Create compelling, insightful visualizations, dashboards, and graphical narratives that resonate with diverse audiences—from technical stakeholders to executive leadership.
• Advanced Analytics Implementation: Apply sophisticated analytical techniques including regression analysis, machine learning algorithms, and classification methods to drive actionable, revenue-generating insights.
• Mentorship and Technical Guidance: Serve as a mentor and technical advisor to junior data scientists, fostering a culture of continuous learning, innovation, and professional growth.
• Stakeholder Communication: Present findings, recommendations, and strategic insights to senior leadership, translating complex technical concepts into clear, persuasive business narratives.

Essential Qualifications and Experience

• Educational Background: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field from an accredited institution.
• Professional Experience: Minimum of 2+ years of hands-on experience developing analytical, statistical, or machine learning models to extract insights and solve complex business challenges, preferably within a retail, e-commerce, or consumer products environment.
• Web Analytics Expertise: Demonstrated proficiency in web analytics and customer segmentation, utilizing data to drive informed decisions and optimize online experiences.
• Team Leadership: Proven ability to lead small teams in rapid, accurate data analysis, feature definition, and innovative problem-solving for complex business challenges.
• Complex Problem-Solving: Exceptional ability to work on intricate, multifaceted problems and develop compelling, data-driven narratives that inform executive decision-making.
• Cloud Platform Proficiency: Strong working knowledge of cloud platforms and modern data technologies (AWS, Azure, or GCP experience preferred).
• Machine Learning and AI: Deep expertise in machine learning and artificial intelligence techniques, with a track record of deploying models into production environments.
• Root Cause Analysis: Advanced skills in investigative analysis and root cause identification, with the ability to uncover hidden patterns and drive strategic recommendations.
• Adaptability: Thrives in fast-paced, dynamic, and evolving environments, with the flexibility to pivot priorities and manage ambiguity effectively.
• Project Management Knowledge: Preferred familiarity with various project management methodologies including Waterfall, Agile, and Scrum frameworks.
• Communication Skills: Outstanding verbal and written communication abilities, with a talent for building strong relationships across teams and organizational levels.

Technical Skills and Competencies

• Data Pipeline and ETL Tools: Proficiency in SQL, SSIS, Knime, Alteryx, and Tableau Prep for building robust data workflows.
• Database Platforms: Hands-on experience with modern database platforms including Snowflake, SQL Server, and other enterprise data warehouses.
• Scripting Languages: Working knowledge of Snowscript, JavaScript, VBA, and Python for automation and data manipulation.
• Statistical and Data Science Languages: Expertise in R, SAS, and Python for advanced statistical analysis and data science applications.
• Machine Learning Techniques: Comprehensive understanding and practical application of supervised and unsupervised learning methods.
• Advanced Analytics Frameworks: Deep experience with regression analysis, classification algorithms, statistical inference, hypothesis testing, p-values, causal inference, Random Forest, Bagging, Boosting, and Time Series analysis.
• Data Visualization Tools: Mastery of visualization platforms such as Tableau, Power BI, or similar business intelligence tools.

Why Choose arenaflex? Benefits, Perks, and Culture

At arenaflex, we are committed to fostering a workplace where innovation thrives, diversity is celebrated, and every team member has the opportunity to make a meaningful impact. Our culture is built on collaboration, creativity, and a shared passion for delivering exceptional experiences to the millions of customers we serve worldwide.

• Competitive Compensation: A highly competitive hourly rate of $26, with regular performance reviews and opportunities for advancement.
• Comprehensive Health Benefits: Full medical, dental, and vision coverage for you and your eligible dependents, along with wellness programs and mental health resources.
• Retirement Planning: Generous 401(k) plan with company matching contributions to help you build a secure financial future.
• Generous Paid Time Off: Ample vacation days, paid holidays, and sick leave to support your work-life balance and personal well-being.
• Employee Discounts: Exclusive discounts on company products, services, and experiences—because we believe in sharing the magic with our team.
• Education Assistance: Tuition reimbursement and professional development programs to support your continuous learning and career growth.
• Employee Assistance Programs: Confidential counseling and support services for personal and professional challenges.
• Career Advancement: Clear pathways for promotion and lateral career moves across our global organization, with mentorship from industry leaders.
• Recognition Programs: Regular acknowledgment of outstanding contributions through awards, bonuses, and special recognition events.
• Flexible Remote Work: The ability to work from anywhere in the United States, with the tools and resources you need to succeed in a remote environment.
• Inclusive Culture: A diverse, equitable, and inclusive workplace where every voice is heard, valued, and respected.

Career Growth and Learning Opportunities

At arenaflex, your growth is our priority. As a Senior Data Scientist, you will have access to world-class training programs, industry conferences, and cross-functional project opportunities that will expand your technical expertise and business acumen. We invest in our people because we know that your success drives our success. Whether you aspire to move into executive leadership, specialize in a cutting-edge area of AI research, or build and manage your own team, arenaflex provides the platform, mentorship, and resources to help you achieve your career ambitions.

Our Commitment to Diversity and Inclusion

arenaflex is an equal opportunity employer that values diversity as a fundamental strength. We are committed to building a workforce that reflects the rich diversity of the communities we serve and the customers we delight. We welcome applications from candidates of all backgrounds, identities, and experiences, and we believe that an inclusive environment drives innovation, creativity, and better business outcomes.

How to Apply

If you are a driven, analytical, and innovative data science professional ready to make a global impact, we encourage you to apply today. Join arenaflex and become part of a team that is shaping the future of consumer products, entertainment, and digital experiences through the power of data. Your next career chapter starts here—where your insights will influence strategy, your leadership will inspire teams, and your work will touch the lives of millions of people around the world.

Don't miss this opportunity to work with a globally recognized leader that values creativity, collaboration, and continuous learning. Apply now and let your data science expertise drive the magic at arenaflex.