Senior Data Scientist – Machine Learning & Data Analytics (Remote/Hybrid Options Available)

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Join arenaflex: Transforming Data Into Customer Experiences

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.

What You'll Do

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.

Key Responsibilities:

• Build and maintain robust data pipelines to collect, clean, and prepare high-quality data for machine learning models and analytical workflows


• Develop and evaluate machine learning models that extract meaningful insights from complex datasets, generate accurate predictions, and produce actionable recommendations


• Work with natural language processing algorithms to process and extract valuable information from text-based data sources, enabling deeper understanding of customer feedback, content metadata, and more


• Build interactive dashboards and compelling visualizations that effectively communicate your findings to both technical and non-technical audiences across the organization


• Partner with cross-functional teams to identify business opportunities and develop data-driven solutions that directly impact customer experience and retention


• Mentor and guide junior team members on best practices in data science, machine learning, and statistical analysis


• Contribute to the continuous improvement of our data infrastructure, modeling frameworks, and analytical processes

What To Bring

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:

Essential Qualifications:

• Educational Background: Bachelor's degree in a quantitative field such as Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics, or a related discipline


• Professional Experience: Minimum of 2 years of hands-on experience conducting statistical analysis and developing production-quality machine learning models using Python


• Technical Proficiency: Deep understanding of machine learning concepts, statistical methodologies, and predictive modeling techniques


• Analytical Skills: Ability to derive meaningful insights and conclusions from complex datasets to inform model development and strategic business decisions


• Collaboration: Strong desire to work alongside fellow data scientists, data engineers, and key business stakeholders in a team-oriented environment


• Programming: Proficiency with ML frameworks such as Scikit-Learn and data processing libraries like Pandas, NumPy, or similar tools


• Database Knowledge: Solid understanding of SQL and experience with distributed data technologies


• Visualization: Familiarity with data analysis and visualization platforms such as Streamlit, Tableau, Looker, or equivalent tools

Good To Have

While not required, these qualifications will help you stand out and accelerate your impact:

• Advanced degree (Master's or PhD) in Computer Science, Engineering, Statistics, Economics, Physics, or a related quantitative field


• Experience developing production-oriented Python code with proper documentation and testing


• Experience deploying and maintaining data pipelines using workflow management tools such as Airflow, Docker, Luigi, or similar platforms


• In-depth understanding of cutting-edge natural language processing techniques, text embedding models, and familiarity with Generative AI and Large Language Models (LLMs)


• Proven track record of fully integrating data science solutions into business operations and successfully operationalizing machine learning models at scale


• Experience working with cloud platforms (AWS, GCP, or Azure) and big data technologies


• Domain knowledge in streaming media, entertainment, or consumer technology sectors

Why arenaflex?

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:

Career Growth & Learning Opportunities

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.

Work Environment & Culture

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.

Compensation & Benefits

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:

• Health, dental, and vision insurance


• 401(k) retirement plan with company matching


• Paid time off and holidays


• Parental leave and family support programs


• Professional development budget for courses, certifications, and conferences


• Employee discount programs and exclusive access to our products/services


• Wellness programs and gym membership reimbursement

Location

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.

Ready to Make an Impact?

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.