Senior Data Scientist – Omni-Channel Analytics & Predictive Modeling Expert (Remote/Hybrid Available)
Posted 2026-05-06- *Job Description:**
Join arenaflex: Where Data Transforms Magic into Reality
Are you ready to step into a world where data science meets entertainment innovation? At arenaflex, we don't just analyze numbers—we unlock the stories hidden within them. As a global leader in entertainment, media, and consumer experiences, arenaflex has been creating wonder and memories for nearly a century. Now, we're looking for a visionary Senior Data Scientist to join our Product Frameworks and Examination group within the Shopper Items, Gaming and Distributing (CPGP) division.
This is more than just a data science role—it's an opportunity to shape how hundreds of millions of consumers experience our products across physical retail locations and digital platforms worldwide. You'll be the driving force behind analytical innovations that influence business strategy, product development, and customer engagement at one of the most beloved companies in the world.
About the Role: Senior Data Scientist – Omni-Channel Analytics
As a Senior Data Scientist at arenaflex, you will serve as a technical leader and mentor within our growing Data Science organization. You'll be responsible for leading, analyzing, and engineering vast datasets to generate top-tier business insights through cutting-edge predictive models. Your work will span both brick-and-mortar retail environments as well as sophisticated e-commerce platforms, creating a seamless analytical framework that bridges the physical and digital customer experiences.
This position offers you the chance to be both a strategist and a practitioner—setting the vision for analytical excellence while also diving deep into the data to uncover actionable insights that drive real business outcomes.
What You'll Do: Key Responsibilities
As a leader within our Data Science team, you will:
- Lead with Vision: Set the strategic direction for the data science team, focusing on Omni-Channel analysis across physical retail locations and digital e-commerce platforms. You'll define the roadmap that guides our analytical efforts and ensures alignment with business objectives.
- Champion Cross-Functional Collaboration: Lead cross-functional teams, working closely with Analysts, Technical Partners, and Business Leaders to establish an improvement roadmap based on pressing business needs. You'll serve as the bridge between technical data science capabilities and business strategy.
- Translate Business Needs into Technical Solutions: Convert complex business requirements into precise product specifications that guide development efforts. You'll ensure that our data infrastructure and analytical tools directly support business objectives.
- Facilitate Strategic Planning: Lead architecture design sessions, aligning strategies with business drivers, current challenges, and long-term organizational goals. Your technical expertise will inform high-level decision-making.
- Build Robust Data Pipelines: Design and implement efficient data pipelines that address critical business problems, leveraging technical tools and retail systems to ensure data quality and accessibility.
- Establish Best Practices: Set and execute Data Science team best practices, including leading code reviews for team members to ensure quality, consistency, and adherence to technical standards.
- Create Compelling Visualizations: Develop compelling visuals, charts, and graphs that resonate with data, adapting presentations to suit different audiences—from C-suite executives to technical team members.
- Apply Advanced Analytics: Utilize advanced analytical techniques including regression analysis, machine learning, and clustering to drive meaningful insights that inform business strategy.
What You Bring: Qualifications & Skills
We're seeking a candidate with a unique blend of technical expertise, business acumen, and leadership capabilities. Here's what we're looking for:
Essential Qualifications:
- Educational Background: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. Advanced degrees are a plus but not required.
- Professional Experience: 2+ years of experience developing Analysis, Statistical, or AI models to extract insights and address business challenges—ideally in a retail, e-commerce, or consumer goods setting.
- Technical Proficiency in Web Analytics: Strong capability in web analytics and visitor segmentation, using data to drive informed decisions and improve online customer experiences.
- Team Leadership: Experience leading small teams in rapid and accurate data analysis, feature definition, and innovative problem-solving for complex business challenges.
- Analytical Storytelling: Expertise in working through intricate issues and developing data-driven narratives that support decision-making at all organizational levels.
- Cloud Platform Expertise: Demonstrated proficiency with cloud platforms and modern technology stacks.
- Machine Learning/AI Skills: Proficiency in machine learning or artificial intelligence techniques, with the ability to apply these methods to real-world business problems.
- Problem-Solving Abilities: Strong skills in troubleshooting and root cause analysis to identify and resolve data quality issues and analytical challenges.
- Adaptability: Thrives in fast-paced, changing environments with the ability to pivot quickly as business needs evolve.
- Communication Skills: Excellent interpersonal and communication skills for effective team and individual interactions across all levels of the organization.
Preferred Qualifications:
- Experience with various project management methodologies (Waterfall, Agile, Scrum)
- Knowledge of multiple data technology areas:
- Data pipelines and ETL tools (SQL, SSIS, Knime, Alteryx, Tableau Prep)
- Database platforms including Snowflake and SQL Server
- Scripting languages (JavaScript, VBA, Python)
- Statistical and Data Science languages (R, SAS, Python for Data Science)
- Experience applying advanced analytics techniques including regression analysis, clustering, statistical inference, hypothesis testing, p-values, causal inference, Random Forest, Bagging, Boosting, and Time Series analysis
Why arenaflex? Culture & Benefits
At arenaflex, we believe that the magic we create for our guests begins with the magic we create for our employees. Our company has been a beacon of imagination, innovation, and storytelling for nearly a century, and that spirit permeates everything we do—from the way we develop our products to how we support and develop our team members.
Work Environment
We foster an innovative and collaborative culture that encourages employees to bring their unique perspectives and creative ideas to the table. As part of our CPGP division, you'll work alongside talented professionals who are passionate about data science and committed to delivering exceptional consumer experiences. Whether you're based near our corporate locations or prefer the flexibility of remote work, we provide the tools, technology, and support you need to succeed.
Compensation & Perks
We recognize that exceptional talent deserves exceptional rewards. As a Senior Data Scientist at arenaflex, you'll enjoy:
- Competitive Hourly Rate: $26 per hour (commensurate with experience)
- Comprehensive Health Benefits: Full medical, dental, and vision coverage for you and your family
- Retirement Planning: 401(k) plan with generous employer matching
- Paid Time Off: Generous vacation days, holidays, and sick leave
- Professional Development: Education assistance programs to support your career growth
- Employee Discounts: Exclusive discounts on arenaflex products, theme park admission, and entertainment offerings
- Wellness Programs: Access to wellness resources and employee assistance programs
- Career Advancement: Opportunities for progression within our global organization
- Unique Work Settings: Depending on your role, the chance to work in extraordinary environments
Career Growth & Development
At arenaflex, your career trajectory is limited only by your ambition. As a Senior Data Scientist, you'll have the opportunity to:
- Mentor junior data scientists and help shape the next generation of analytical talent
- Lead high-impact projects that influence business strategy at the highest levels
- Develop expertise across both physical retail and digital e-commerce analytics
- Expand your technical skills through exposure to cutting-edge machine learning and AI technologies
- Build your professional network within one of the world's most iconic entertainment companies
- Explore future leadership opportunities as our data science organization continues to grow
Join the Magic
If you're ready to transform data into actionable insights that touch millions of lives around the world, we want to hear from you. At arenaflex, every dataset tells a story, and every insight has the power to create new possibilities for our consumers and our business.
This is your chance to be part of something extraordinary—a company that has been creating joy and memories for generations. Apply today and become a key player in shaping the future of retail analytics for one of the world's most beloved brands.
Don't miss this opportunity to grow your career with arenaflex—where data meets imagination, and every number tells a story.