Are you ready to be part of a dynamic team that's reshaping how millions of people experience entertainment, sports, and content worldwide? At arenaflex, we're not just collecting data—we're using it to tell stories, predict trends, and create personalized experiences that captivate audiences across the globe.
The arenaflex Direct-to-Consumer (DTC) Information Science team sits at the heart of this transformation. We leverage deep data analysis and cutting-edge modeling to uncover powerful insights about customer retention, preferences, and behavior across our vast ecosystem of streaming platforms, content offerings, and product experiences. We're the insights and modeling partners for content, marketing, product, and engineering teams working on our industry-leading streaming services.
If you're someone who thrives on cross-functional collaboration, building sophisticated models, performing rigorous statistical analysis, and creating compelling visualizations that drive actionable outcomes—this is the opportunity you've been waiting for.
As a Senior Data Scientist at arenaflex, you'll work alongside a talented team of data scientists and engineers to solve complex business challenges using advanced data science and machine learning techniques. You'll collaborate closely with cross-functional partners in content, product, marketing, and engineering to understand their needs and develop solutions that exceed their expectations. A critical part of your role will be translating your discoveries into clear, actionable insights for both technical experts and business stakeholders without technical backgrounds.
We're looking for a passionate data scientist who combines strong technical skills with the ability to translate complex findings into business-impacting insights. Here's what we need from you:
While not required, these qualifications will help you stand out and accelerate your impact:
At arenaflex, we believe that great data science requires great storytelling. We're not just building models—we're creating experiences that resonate with millions of customers worldwide. Here's what makes joining arenaflex special:
We invest heavily in your professional development. You'll have access to cutting-edge tools, technologies, and training programs that keep you at the forefront of the data science field. Our team members regularly present at industry conferences, publish research papers, and contribute to open-source projects. Whether you're looking to deepen your expertise in machine learning, expand into new domains, or develop leadership skills, arenaflex provides the pathway to achieve your goals.
We foster a collaborative, inclusive environment where diverse perspectives are celebrated. Our team values curiosity, creativity, and the relentless pursuit of excellence. We believe in work-life balance and offer flexible work arrangements to support your well-being. You'll be working alongside some of the brightest minds in the industry, tackling challenges that have real-world impact on how people experience entertainment and content.
We recognize that top talent deserves competitive rewards. The starting hourly rate for this position is $26 per hour, with opportunities for overtime and performance-based bonuses. Full-time team members enjoy a comprehensive benefits package including:
This position is based in Santa Monica, California, with flexible hybrid and remote work options available. We maintain a collaborative office space where team members can connect in person when needed, while also embracing the flexibility of remote work.
If you're excited about using data to shape the future of entertainment and customer experiences, we want to hear from you. Join arenaflex and become part of a team that's transforming how the world experiences content.
At arenaflex, diversity and inclusion aren't just values—they're foundations for innovation. We encourage applicants from all backgrounds and perspectives to apply. Bring your unique voice, your creative ideas, and your technical expertise to a team that's changing the world, one data point at a time.
Apply today and take the first step toward an rewarding career where your work truly matters.