Data Scientist – AI & Machine Learning for Streaming Services (Part-Time/Remote)

Join arenaflex and Shape the Future of Streaming Entertainment

Are you passionate about data science, artificial intelligence, and revolutionizing how millions of people consume entertainment? Welcome to arenaflex – where innovation meets imagination, and where your analytical talents can make a real impact on the future of streaming media worldwide.

At arenaflex, we are reimagining how audiences experience content across the globe. Our streaming platforms deliver world-class entertainment, live sports, and exclusive original programming to hundreds of millions of subscribers. We believe that behind every great viewer experience is powerful data-driven insights, and that's where you come in. We're looking for a talented Data Scientist to join our dynamic team and help us unlock the full potential of our subscriber data.

About arenaflex Streaming

arenaflex Streaming is responsible for developing and operating direct-to-consumer video services worldwide. Our portfolio includes premium sports streaming, an extensive entertainment library featuring beloved franchises, and cutting-edge technology that brings content to global audiences on any device, anywhere, anytime. Our core mission is to deliver personalized experiences that connect people with the stories, characters, and sports they love.

Our Data Science team sits at the heart of this mission. We analyze vast amounts of user data to understand viewer behavior, predict preferences, and drive strategic decisions that impact the experiences of millions of customers globally. We serve as the insights and modeling partners for content, marketing, product, and engineering teams across all our streaming platforms.

What You'll Do

As a Data Scientist at arenaflex, you'll be instrumental in leveraging artificial intelligence and statistical modeling to deepen our understanding of subscriber behavior and preferences. Your work will directly influence how we retain customers, optimize pricing strategies, and deliver content that resonates with diverse audiences worldwide.

Key Responsibilities

• Build Predictive Models: Develop and deploy machine learning models to understand and forecast subscriber behavior, including churn prediction, upgrade/downgrade patterns, price sensitivity analysis, customer segmentation, and survival analysis.


• Drive Innovation: Create and implement cutting-edge AI solutions that address critical business questions while identifying new opportunities for exploration and growth within the streaming ecosystem.


• Lead Experimentation: Design, execute, and analyze A/B tests and other experimental approaches to evaluate the impact of your models and recommend data-driven optimizations.


• Cross-Functional Collaboration: Partner closely with teams across the organization to identify opportunities and translate business needs into analytical solutions. Work collaboratively with other data teams to enhance platform capabilities around data modeling, visualization, experimentation, and data architecture.


• Strategic Communication: Present findings, recommendations, and proposals to senior leadership, translating complex quantitative insights into actionable business strategies.


• Continuous Learning: Stay current with emerging methodologies, tools, and best practices in data science and machine learning, bringing fresh ideas to the team.

What We're Looking For

Essential Qualifications

• Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, Statistics, or a related quantitative field.


• Professional Experience: Minimum 3+ years of experience designing, building, and deploying production-ready machine learning solutions that solve real-world business problems.


• Technical Proficiency: Strong coding skills in Python and/or R, with additional experience in scientific libraries such as NumPy, Pandas, or equivalent tools.


• Machine Learning Expertise: Proficient in data analysis and developing ML models using Python with frameworks such as TensorFlow, scikit-learn, or similar technologies.


• Statistical Foundations: Solid background in statistical modeling, including regression, classification, time series forecasting, causal inference, and various analytical techniques.


• Scalable Solutions: Experience developing scalable mathematical models and solving complex quantitative problems that can be understood and utilized by non-technical stakeholders.


• Insight Generation: Ability to extract meaningful insights and conclusions from data to inform model development and business decisions.


• Team Player: Strong desire to collaborate with fellow data scientists, data analysts, and key business partners.


• Database Skills: Strong understanding of SQL for data extraction and manipulation.

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative field


• Exceptional analytical skills with advanced knowledge of statistical methodologies


• Demonstrated ability to select the right statistical tools given specific data analysis problems


• Ability to adapt quickly in a fast-paced environment with shifting priorities


• Strong communication skills, capable of presenting to both technical and non-technical audiences


• Experience prioritizing multiple tasks and meeting tight deadlines


• Proficiency with data platforms and tools such as Databricks, Jupyter, Snowflake, Airflow, and GitHub


• Experience designing and analyzing A/B tests and other forms of experimentation


• Strategic thinking skills to interpret market and consumer information, ideally related to subscription services


• Experience with distributed data technologies such as Hive and Flash


• Knowledge of Natural Language Processing (NLP) and Neural Network (NN) models

Why arenaflex?

At arenaflex, we believe that great talent deserves great rewards. We offer a comprehensive compensation package designed to support your professional growth and personal well-being:

Competitive Compensation

• Attractive hourly rate of $25 per hour


• Flexible part-time scheduling with 8-hour work days


• Performance-based bonus opportunities

Work-Life Balance

• Fully remote position – work from anywhere in the comfort of your home


• Flexible scheduling to accommodate your personal and professional commitments


• Generous paid time off and holiday schedule

Professional Development

• Access to cutting-edge tools and technologies in data science and machine learning


• Continuous learning opportunities through training programs and conferences


• Mentorship from experienced data scientists and industry experts


• Clear career advancement pathways within the organization

Comprehensive Benefits

• Health, dental, and vision insurance coverage


• 401(k) retirement plan with company matching


• Life insurance and disability coverage


• Wellness programs and resources


• Employee assistance program for personal and professional challenges

Our Culture

arenaflex is more than just a workplace – we're a community of innovators, dreamers, and doers. We value creativity, collaboration, and diverse perspectives. Our team members are encouraged to think boldly, take ownership, and push the boundaries of what's possible in the streaming industry.

We foster an inclusive environment where every voice matters, and where your unique background and experiences contribute to our collective success. Whether you're passionate about data, technology, entertainment, or all three, you'll find a home at arenaflex.

Ready to Make an Impact?

If you're someone who loves working cross-functionally, building models, performing statistical analysis, and creating visualizations that provide scalable and iterative capabilities, then this is the perfect opportunity for you. Join us in our mission to deliver extraordinary streaming experiences to millions of viewers worldwide.

At arenaflex, your work will matter. Your insights will shape product decisions. Your models will influence how millions of people experience entertainment. This is your chance to be part of something extraordinary.

Apply now and take the first step toward an exciting career with arenaflex. We can't wait to see what you'll bring to our team.