Senior Data Scientist – Predictive Modeling, Business Intelligence & Data Analytics (Full-Time)

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About Arenaflex

Welcome to arenaflex, where imagination meets innovation! As one of the world's most dynamic entertainment and media companies, arenaflex has been captivating audiences globally for nearly a century. Founded on the principles of creativity, storytelling, and technological excellence, we continue to push the boundaries of what's possible in the digital age.

At arenaflex, we believe that data is the heartbeat of modern entertainment. Every movie trailer you watch, every streaming recommendation you receive, and every magical experience you enjoy at our parks is powered by sophisticated data science and analytics. Join our team, and you'll become part of a legacy that spans generations while shaping the future of how the world experiences entertainment.

We are currently seeking a talented and passionate Senior Data Scientist to join our Data Governance and Operations team within the Exploration, Insights, and Experiences division. This is an extraordinary opportunity to leverage your analytical expertise while contributing to decision-making that impacts millions of viewers worldwide.

Position Overview

As a Senior Data Scientist at arenaflex, you will be responsible for developing and enhancing predictive models and unified insights that drive engagement across our extensive television portfolio. Your modeling work will primarily support viewership prediction—collaborating with addressable pricing teams within Exploration, Insights, and Estimation—to optimize advertising sales revenue and support the DTCI P&L for digital initiatives.

This role demands a self-starter who thrives on writing code and diving into data with creativity and efficiency. You'll manage end-to-end projects spanning ETL, predictive modeling, data visualization, and BI reporting while building strong relationships across various segments and stakeholders through effective communication.

Key Responsibilities

Data Quality and Management

• Interpret raw data from multiple sources into meaningful and actionable insights for data-driven decision-making through automated ETL pipelines


• Serve as a subject matter expert on internal and external data sources, ensuring data integrity and reliability as a trusted source of truth


• Identify and raise data irregularities while developing creative workarounds to maintain data quality


• Design and implement robust data governance frameworks that scale with business needs


• Collaborate with cross-functional teams to establish data standards and best practices

Statistical Modeling and Machine Learning

• Design and develop new predictive models using statistical and AI techniques to forecast and project customer engagement across arenaflex platforms


• Model various KPIs including viewership, engagement time, content consumption patterns, and subscriber retention


• Analyze drivers of change when interpreting forecasts and implement improvements to enhance prediction accuracy


• Develop and deploy machine learning models at scale using cutting-edge techniques


• Continuously evaluate model performance and iterate on solutions to improve outcomes

Business Intelligence and Visualization

• Build visualizations and interfaces to communicate results to business stakeholders in an accessible, sustainable, and automated manner


• Analyze complex datasets to identify patterns, uncover opportunities, and create a common understanding of digital media consumption


• Develop executive-level dashboards and reports that drive strategic decision-making


• Translate technical findings into business actionable insights for non-technical audiences


• Partner with product and engineering teams to integrate analytics into core platform features

Leadership and Collaboration

• Partner closely with business stakeholders, primarily the addressable pricing teams within Exploration, Insights, and Estimation, to identify opportunities and drive value


• Collaborate with other data teams to improve capabilities around data modeling, testing platforms, and data visualization


• Mentor junior team members and serve as a resource for colleagues with less experience


• Foster a culture of knowledge sharing and continuous learning within the analytics community


• Represent the data science perspective in cross-functional product and strategy meetings

Process Innovation

• Drive innovation by exploring new statistical methods and brainstorming ways to enhance the current forecasting and reporting infrastructure


• Identify opportunities to automate manual processes and improve operational efficiency


• Evaluate emerging technologies and tools that can advance analytical capabilities


• Contribute to the development of best practices and standards for data science at arenaflex

Operations and Agile Practices

• Apply Agile principles through participation in standups, sprint planning, writing business requirements documents, and retrospectives


• Contribute to an "Open Source" learning environment where sharing, documenting, teaching, and collaborating with others is the culture


• Maintain thorough documentation of models, pipelines, and analytical methodologies


• Participate in code reviews and ensure adherence to coding standards

Required Qualifications

Education and Experience

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field


• A minimum of 2+ years of relevant experience in data science, predictive analytics, or business intelligence


• Advanced degree (Master's or PhD) in a quantitative discipline is a plus

Technical Skills

• Programming Expertise: High proficiency in SQL and Python (including libraries such as pandas, numpy, scikit-learn) for data analysis, manipulation, and modeling


• Data Engineering: Experience with ETL, data pipeline management, and cloud infrastructure for handling large volumes of data (e.g., AWS, PySpark, Snowflake, Airflow, Databricks)


• Visualization: Experience with data visualization tools (e.g., Tableau, Power BI, or similar platforms)


• Machine Learning: Experience designing and implementing predictive models including generalized linear models, time series analysis, decision trees, and ensemble methods


• Version Control: Experience working with Git for collaborative development


• Big Data Technologies: Familiarity with distributed computing frameworks and big data ecosystems

Professional Competencies

• Ownership Mindset: Proven sense of responsibility and effective project ownership—you have a knack for investigating complex issues with elegant solutions


• Communication Skills: Ability to pivot between technical and non-technical terminology depending on your audience


• Curiosity: Natural curiosity—you enjoy digging deeper to find the bigger picture and are open to learning new technologies


• Client Orientation: Strong interpersonal skills, building relationships across teams and functions to gain trust and advance business objectives


• Humility: Ability to contribute to the team, putting ego aside, with enthusiasm for helping others succeed


• Adaptability: Comfort with messy data and flexibility in dynamic environments

Preferred Qualifications

• Experience using web frameworks (Django, Flask, FastAPI) and JavaScript libraries (ReactJS, jQuery, Vue.js) to build efficient frontend and backend web applications focused on user experience


• Experience implementing Docker containers and container orchestration (Kubernetes)


• Experience with streaming data processing frameworks (Kafka, Spark Streaming)


• Background in media, entertainment, or streaming industry analytics


• Knowledge of A/B testing methodologies and experimental design


• Familiarity with MLOps practices and model deployment pipelines

Why Join Arenaflex?

Career Growth and Learning

At arenaflex, we invest in your professional development. As a Senior Data Scientist, you'll have access to cutting-edge technologies, mentorship opportunities, and the chance to work on projects that shape the future of entertainment. We encourage continuous learning through internal training programs, conference attendance, and certification support.

Compensation and Benefits

We offer competitive compensation packages that recognize your expertise and contributions. Our comprehensive benefits package includes:

• Attractive hourly rate of $25/hour (with opportunities for growth)


• Comprehensive health, dental, and vision insurance


• 401(k) retirement plan with company matching


• Generous paid time off including vacation, holidays, and sick leave


• Education assistance and professional development programs


• Employee assistance programs for personal and professional challenges


• Employee discounts on arenaflex products, theme park admissions, and entertainment experiences

Work Environment and Culture

arenaflex fosters an innovative and collaborative culture where creativity thrives. You'll work alongside talented professionals who are passionate about data-driven storytelling. Our inclusive environment celebrates diverse perspectives and encourages you to bring your authentic self to work.

Located in Burbank, California, our headquarters offers a dynamic workplace with access to the heart of the entertainment industry. While this position is based on-site, we embrace flexible work arrangements that support work-life balance.

As part of our team, you'll contribute to magical experiences that delight audiences of all ages—from blockbuster films and streaming content to theme park adventures and beyond. Your work at arenaflex will touch millions of lives worldwide.

Application Process

If you're ready to combine your analytical expertise with your passion for entertainment, we want to hear from you! Join arenaflex and be part of a team that's reimagining the future of media and entertainment.

Apply today to take the first step toward an exciting career where your data skills will help create unforgettable experiences for audiences around the globe.