Senior Data Scientist – Remote – Advanced Analytics & AI for Omni‑Channel Retail at arenaflex

About arenaflex

arenaflex is a global leader in entertainment‑driven consumer products, gaming experiences, and digital distribution. With a portfolio that spans iconic brands, cutting‑edge technology, and a worldwide retail footprint, arenaflex is at the forefront of shaping how fans interact with beloved characters and experiences across both physical stores and online platforms. Our mission is to turn data into actionable insight, delivering unforgettable experiences while driving measurable business growth. As a remote‑first organization, arenaflex empowers talent from every corner of the world to collaborate, innovate, and make an impact without the constraints of a traditional office.

Why This Role Matters

In the rapidly evolving world of omni‑channel retail, the ability to translate massive, complex data sets into strategic decisions is a competitive advantage. As a Senior Data Scientist at arenaflex, you will lead the Product Frameworks and Examination group, a critical engine that powers our Consumer Products, Gaming, and Distribution (CPGP) division. Your work will directly influence product strategy, pricing, inventory management, and customer experience across brick‑and‑mortar stores, e‑commerce sites, and emerging digital marketplaces.

Key Responsibilities

• Strategic Leadership: Define the vision and roadmap for the Data Science team, focusing on omni‑channel analytics that bridge physical retail and online commerce.
• Cross‑Functional Collaboration: Partner with analysts, business partners, and product owners to translate business objectives into data‑driven solutions and product specifications.
• Solution Architecture: Design and oversee the implementation of scalable data pipelines, leveraging modern cloud platforms and ETL tools to ensure reliable, real‑time data flow.
• Model Development & Deployment: Build, validate, and productionize predictive models (e.g., demand forecasting, customer segmentation, recommendation engines) using advanced statistical, machine learning, and AI techniques.
• Data Governance & Best Practices: Establish coding standards, conduct peer reviews, and champion reproducible research practices across the team.
• Visualization & Storytelling: Create compelling dashboards, visualizations, and presentations that translate complex analytics into clear, actionable insights for diverse audiences.
• Innovation & Continuous Improvement: Stay ahead of emerging analytics trends, experiment with new methodologies, and embed a culture of curiosity and experimentation.
• Mentorship: Coach junior data scientists and analysts, fostering a collaborative environment that encourages knowledge sharing and professional growth.

Essential Qualifications

• Minimum 2 years of hands‑on experience developing analytics, statistical, or AI models that solve real business problems, preferably in a retail or consumer‑goods context.
• Proven ability to lead small, fast‑paced teams in delivering high‑quality data analysis and insight generation.
• Strong foundation in web analytics and customer segmentation, with a track record of using data to improve online experiences and conversion rates.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and modern data engineering tools.
• Solid understanding of AI/ML techniques, including regression, classification, clustering, time‑series forecasting, and causal inference.
• Demonstrated expertise in building and maintaining data pipelines using tools such as SQL, SSIS, Alteryx, Knime, or similar.
• Proficiency in programming languages and scripting: Python, R, SQL, SnowSQL, JavaScript, VBA, or comparable.
• Familiarity with data warehouse technologies (Snowflake, SQL Server) and ETL orchestration.
• Excellent communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
• Adaptability to thrive in a dynamic, fast‑changing environment.

Preferred Qualifications & Additional Skills

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field (advanced degree a plus).
• Experience with agile methodologies (Scrum, Kanban) and project management tools.
• Hands‑on experience with advanced analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of causal inference frameworks, A/B testing, and experimental design.
• Exposure to natural language processing (NLP) or computer vision techniques for unstructured data analysis.
• Strong interpersonal skills that enable effective collaboration across global, cross‑functional teams.

Core Competencies

• Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.
• Business Acumen: Understanding of retail economics, supply chain dynamics, and consumer behavior.
• Technical Mastery: Deep expertise in statistical modeling, machine learning, and data engineering.
• Communication: Clear, concise storytelling that resonates with executives, product managers, and technical peers.
• Leadership: Inspiring mentorship and the capacity to guide teams through ambiguity toward measurable outcomes.
• Innovation Mindset: Curiosity to explore new tools, techniques, and data sources that can unlock hidden value.

Career Growth & Learning Opportunities

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

• Continuous learning budgets for conferences, certifications, and online courses.
• Mentorship programs that pair you with senior leaders across the organization.
• Opportunities to lead high‑visibility projects that directly influence global product strategy.
• Cross‑departmental rotations to broaden your expertise in marketing, supply chain, and digital product development.
• Regular knowledge‑sharing sessions, hackathons, and innovation challenges.

Work Environment & Culture at arenaflex

arenaflex embraces a remote‑first culture that values flexibility, autonomy, and work‑life balance. Our employees enjoy:

• Fully remote work with a flexible schedule that respects personal commitments.
• A collaborative, inclusive environment where diverse perspectives are celebrated.
• Regular virtual team‑building events, wellness programs, and mental‑health resources.
• State‑of‑the‑art collaboration tools that keep you connected with global teammates.
• A results‑oriented performance model that rewards impact over hours logged.

Compensation, Perks & Benefits

While exact figures vary by location and experience, arenaflex offers a competitive compensation package that includes:

• Hourly rate of $26 per hour (or equivalent full‑time salary) with performance‑based bonuses.
• Comprehensive health, dental, and vision coverage.
• Retirement savings plan with company matching.
• Generous paid time off, parental leave, and holiday schedules.
• Professional development stipend and tuition reimbursement.
• Technology allowance for home office setup.
• Employee assistance programs and wellness initiatives.

How to Apply

If you are passionate about turning data into strategic advantage, thrive in a fast‑moving omni‑channel environment, and want to make a tangible impact at a world‑class entertainment and consumer‑goods company, we want to hear from you. Submit your application today and join arenaflex’s mission to create magical experiences powered by data.

Apply Now