Senior Remote Data Scientist – Machine Learning & Statistical Modeling for Streaming & Entertainment Platforms (Part‑Time, Work‑From‑Home) – arenaflex Direct‑to‑Consumer Team

About arenaflex

arenaflex is a global leader in family‑focused entertainment, delivering beloved stories, iconic characters, and immersive experiences to millions of fans worldwide. Through its Direct‑to‑Consumer (DTC) division, arenaflex powers the streaming services that bring premium content directly into homes, on mobile devices, and across connected platforms. With a heritage that spans nearly a century, arenaflex blends timeless storytelling with cutting‑edge technology, creating a dynamic ecosystem where data‑driven insights shape the next generation of entertainment experiences. Our mission is to inspire joy, curiosity, and connection for every audience member, no matter where they are.

Role Overview

We are seeking a highly skilled, self‑motivated Senior Remote Data Scientist to join the arenaflex Direct‑to‑Consumer Data Science team. This part‑time, work‑from‑home position focuses on building advanced machine‑learning models, conducting deep statistical analyses, and visualizing insights that drive user retention, content discovery, and revenue optimization across arenaflex’s streaming platforms. You will collaborate with product, marketing, engineering, and content teams to translate complex data into actionable strategies that enhance the viewing experience for millions of users worldwide.

Key Responsibilities

• Model Development: Design, implement, and iterate state‑of‑the‑art machine‑learning and statistical models for opportunity sizing, audience targeting, and recommendation optimization.
• Deep Behavioral Analysis: Explore large‑scale user interaction datasets to uncover patterns, identify growth opportunities, and develop a shared understanding of how audiences engage with arenaflex’s content.
• Insight Visualization: Create clear, compelling visualizations and prototype dashboards that communicate analytical findings to both technical and non‑technical stakeholders.
• Cross‑Functional Partnership: Work closely with product managers, content strategists, marketers, and engineers to translate business questions into data‑driven solutions and to embed analytical capabilities into the product lifecycle.
• Data Pipeline Engineering: Build and maintain robust, reproducible data pipelines using tools such as Airflow or Luigi, ensuring seamless integration of model training, validation, and deployment processes.
• Platform Collaboration: Partner with other data teams to enhance arenaflex’s data architecture, including distributed storage (Hive, Spark) and query optimization for high‑performance analytics.
• Model Operationalization: Deploy, monitor, and continuously improve machine‑learning models in production, ensuring they deliver reliable business impact at scale.
• Research & Innovation: Stay abreast of emerging techniques in Bayesian modeling, probabilistic programming (e.g., Stan, PyMC), and other advanced analytics methods, applying them where they add value.

Essential Qualifications

• Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, Economics, Physics, or a closely related quantitative discipline; advanced degree (MS/PhD) strongly preferred.
• Minimum 7 years of professional experience developing machine‑learning models and performing rigorous statistical analysis in a production environment.
• Deep expertise in supervised and unsupervised learning algorithms, statistical inference, and experimental design.
• Proficiency in Python, including libraries such as TensorFlow, PyTorch, scikit‑learn, pandas, and NumPy.
• Strong command of SQL and experience with distributed data processing frameworks (e.g., Hive, Spark).
• Demonstrated ability to write clean, object‑oriented code and to construct scalable modeling pipelines using workflow orchestration tools.
• Experience translating complex analytical results into clear business recommendations and visual storytelling.
• Excellent communication skills and a collaborative mindset for partnering with cross‑functional teams.

Preferred Qualifications

• MS or PhD in Computer Science, Statistics, Econometrics, Operations Research, or a related field.
• Hands‑on experience with Bayesian modeling techniques and probabilistic programming languages such as Stan or PyMC.
• Track record of successfully operationalizing machine‑learning models in a high‑traffic, consumer‑facing environment.
• Familiarity with A/B testing frameworks and the ability to design and interpret experiments that drive product decisions.
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.
• Prior experience in the media, entertainment, or streaming industry, understanding of content recommendation dynamics.

Core Skills & Competencies

• Analytical Rigor: Ability to dissect large, complex datasets, identify root causes, and formulate data‑driven hypotheses.
• Technical Excellence: Mastery of Python, SQL, and modern ML frameworks; comfortable with version control (Git) and CI/CD pipelines.
• Strategic Thinking: Translate analytical insights into strategic initiatives that align with arenaflex’s growth objectives.
• Communication: Craft compelling narratives and visualizations that make technical concepts accessible to diverse audiences.
• Collaboration: Thrive in a remote, cross‑functional environment, building strong relationships with product, engineering, and creative teams.
• Adaptability: Quickly learn new tools, technologies, and domain knowledge to stay ahead of industry trends.

Career Growth & Learning Opportunities

At arenaflex, your professional development is a priority. As a senior member of the DTC Data Science team, you will have access to:

• Mentorship from industry‑leading data scientists and senior leaders.
• Opportunities to lead high‑impact projects that shape the future of streaming entertainment.
• Continuous learning budgets for conferences, certifications, and advanced coursework.
• Cross‑departmental rotations that broaden your expertise in product, content strategy, and engineering.
• A clear promotion pathway toward Principal Data Scientist or Data Science Manager roles, with performance‑based incentives.

Work Environment & Culture

arenaflex embraces a flexible, inclusive, and innovative culture. Our remote‑first policy empowers you to work from any location while staying deeply connected to a global community of creators, technologists, and storytellers. We champion diversity of thought, encourage curiosity, and celebrate achievements—big and small. Regular virtual coffee chats, team‑wide hackathons, and wellness programs foster a supportive atmosphere where you can thrive both personally and professionally.

Compensation & Benefits

We offer a competitive compensation package that reflects your expertise and the value you bring to arenaflex. While exact figures vary by region and experience, the package typically includes:

• A base salary within the market‑aligned range for senior data science talent.
• Performance‑based bonuses and long‑term incentive units tied to company and individual success.
• Comprehensive health, dental, and vision coverage, along with flexible spending accounts.
• Retirement savings plans with company matching contributions.
• Generous paid time off, parental leave, and holiday schedules.
• Professional development stipend, tuition reimbursement, and access to cutting‑edge tools.
• Wellness resources, including mental‑health support, fitness subsidies, and virtual wellness events.

How to Apply

If you are passionate about leveraging data to craft unforgettable entertainment experiences and thrive in a remote, collaborative environment, we want to hear from you. Please submit your resume, a cover letter highlighting your most relevant projects, and any portfolio or GitHub links that showcase your analytical work.

Apply Now

Join arenaflex and Shape the Future of Storytelling

At arenaflex, your insights will directly influence the journeys of millions of viewers around the world. Become part of a visionary team that blends creativity with technology, and help us deliver the next chapter of unforgettable stories. Apply today and start making an impact from wherever you call home.