Experienced Data Scientist – AI & Statistical Modeling for Streaming Entertainment Platform (Part Time/Remote)

arenaflex is seeking a talented and passionate Data Scientist to join our dynamic Data Science team within our cutting-edge streaming entertainment division. This is a fantastic opportunity to work at the forefront of the digital entertainment revolution, where your analytical expertise will directly impact the experiences of millions of subscribers worldwide.

At arenaflex, we are committed to delivering exceptional content and streaming services that bring the world's most beloved stories, incredible athletes, and unforgettable moments to audiences across the globe. Our streaming platforms serve as the gateway to an expansive ecosystem of entertainment, and our Data Science team plays a pivotal role in understanding subscriber behavior, optimizing user experiences, and driving strategic decisions that shape the future of digital entertainment.

As a Data Scientist at arenaflex, you will become an integral part of our Data Science group, which combines deep data analysis and research to present a compelling vision around subscriber retention and preferences across our vast product offerings and content library. You will serve as the insights and modeling partner for content, marketing, product, and engineering teams across our streaming services. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is the perfect role for you.

Key Responsibilities

As a Data Scientist specializing in AI and statistical modeling, you will be responsible for driving insights that power our streaming business forward. Your core responsibilities will include:

• AI & Statistical Modeling for Subscriber Analytics: Support the streaming business with AI and statistical modeling focused on understanding and predicting subscriber behavior, including churn analysis, upgrade and downgrade patterns, price responsiveness, customer segmentation, survival analysis, trial design and analysis, and causal inference.


• Innovative AI Strategy Development: Create and implement innovative AI strategies to address key business questions while identifying new areas to explore within our vast data ecosystem.


• Model Evaluation & Experimentation: Drive experimentation to evaluate the impacts of your models and ensure they deliver measurable business value.


• Cross-Functional Collaboration: Partner closely with colleagues across the organization to identify opportunities. You will also collaborate with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture.


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


• Data Pipeline Optimization: Work with engineering teams to ensure data pipelines are robust, scalable, and accessible for advanced analytics.


• Storytelling with Data: Develop compelling data narratives that drive decision-making across all levels of the organization.

Essential Qualifications

To succeed in this role, you must possess the following qualifications and demonstrate a proven track record in data science and analytics:

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


• Professional Experience: Minimum of 3+ years of experience designing, building, and evaluating practical AI solutions in a professional setting.


• Programming Expertise: Strong coding experience in Python and/or R, with additional experience in scientific libraries such as Numpy, Pandas, or equivalent tools.


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


• Statistical Modeling Foundation: Strong background in statistical modeling, including regression, clustering, time series forecasting, causal inference, and various other statistical techniques.


• Scalable Model Development: Experience developing scalable mathematical models and solving complex quantitative problems that can be explained to non-technical stakeholders.


• Insight Generation: Ability to derive insights and conclusions from data to advise model development and business decisions.


• Collaborative Mindset: Strong desire to partner with other data scientists, data analysts, and key stakeholders across the organization.


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


• Communication Skills: Excellent verbal and written communication skills, with the ability to present complex findings to both technical and non-technical audiences.

Preferred Qualifications

While not required, the following qualifications will give you a competitive edge in this role:

• Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or Economics.


• Exceptional analytical skills with an advanced level of statistical knowledge.


• Proven ability to select the right statistical tools given a data analysis problem.


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


• Strong interpersonal skills, effective for both technical and non-technical audiences.


• Capacity to prioritize multiple tasks simultaneously and deliver under tight deadlines.


• Experience with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, and GitHub.


• Experience designing and analyzing A/B testing and other experiment types.


• Experience thinking strategically to interpret market and consumer information, preferably related to subscription services.


• Experience with distributed data technologies such as Hive and Flash.


• Experience with Natural Language Processing (NLP) and Neural Network (NN) models.


• Familiarity with cloud computing platforms and big data frameworks.


• Knowledge of the streaming media or entertainment industry.

Skills & Competencies Required for Success

Beyond technical qualifications, we are looking for candidates who embody the following skills and competencies:

• Analytical Thinking: You possess a natural curiosity for data and can identify patterns, trends, and anomalies that drive strategic insights.


• Problem-Solving Abilities: You approach complex problems with creativity and persistence, developing elegant solutions to challenging business questions.


• Business Acumen: You understand how data science initiatives translate into business value and can align your work with organizational goals.


• Continuous Learning: The field of AI and machine learning evolves rapidly, and you stay current with emerging technologies and methodologies.


• Attention to Detail: You maintain high standards of accuracy and quality in your analytical work.


• Team Player: You thrive in collaborative environments and enjoy sharing knowledge with colleagues.


• Adaptability: You are comfortable working in ambiguous situations and can pivot when business needs change.

Career Growth Opportunities & Learning Benefits

At arenaflex, we believe in investing in our employees' professional development and career growth. As part of our team, you will have access to numerous opportunities for advancement and learning:

• Career Advancement: We offer clear career pathways for data scientists to grow into senior roles, lead their own teams, or specialize in areas of expertise such as machine learning engineering, research science, or analytics leadership.


• Professional Development: Access to ongoing training programs, workshops, and conferences to enhance your technical skills and stay current with industry trends.


• Mentorship Programs: Work alongside experienced data scientists and industry experts who will guide your professional development.


• Cutting-Edge Projects: Work on challenging projects that push the boundaries of what's possible with AI and data science in the entertainment industry.


• Cross-Functional Exposure: Gain experience working with diverse teams across product, marketing, engineering, and content strategy.


• Innovation Time: Opportunities to explore new ideas and contribute to innovation initiatives within the organization.


• Certification Support: Financial support for professional certifications in relevant technologies and methodologies.

Work Environment & Company Culture

arenaflex fosters a creative, collaborative, and inclusive work culture that encourages employees to bring their authentic selves to work. Our culture is built on the following core values:

• Innovation: We encourage creative thinking and innovative solutions to complex problems.


• Collaboration: We believe the best results come from diverse teams working together toward common goals.


• Inclusivity: We are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute.


• Work-Life Balance: We support flexible work arrangements, including remote work options, to help our employees balance their professional and personal lives.


• Fun and Engagement: We believe work should be enjoyable, and we create opportunities for team bonding and celebration of achievements.

As a Part Time/Remote position, this role offers flexibility and autonomy while maintaining connectivity with your team through virtual collaboration tools and regular check-ins. You will have the opportunity to work from the comfort of your home while still being an integral part of our mission to deliver world-class entertainment experiences to millions of subscribers globally.

Compensation, Perks & Benefits

We recognize that our employees are our most valuable asset, and we are committed to providing competitive compensation and comprehensive benefits:

• Competitive Hourly Rate: $25 per hour, with opportunities for performance-based increases.


• Flexible Work Arrangements: Part Time/Remote work options that support work-life balance.


• Health & Wellness Benefits: Comprehensive health, dental, and vision coverage, along with wellness programs and resources.


• Retirement Plans: 401(k) retirement plans with employer matching contributions.


• Paid Time Off: Generous paid time off including vacation days, holidays, and sick leave.


• Education Assistance: Financial support for continuing education and professional development.


• Employee Assistance Programs: Access to counseling and support services for personal and professional challenges.


• Employee Discounts: Discounts on products and services within the arenaflex ecosystem.


• Recognition Programs: Programs that recognize and reward employee contributions and achievements.

Join Our Team

Are you ready to make an impact at the intersection of data science and entertainment? Are you passionate about using data to shape the future of streaming experiences? If so, we invite you to apply for this exciting opportunity to join the arenaflex family.

At arenaflex, you will have the chance to work on meaningful projects that touch the lives of millions of people around the world. Your work as a Data Scientist will directly influence how we understand and serve our subscribers, ultimately helping us deliver the content they love, when they want it, and how they want it.

We are looking for individuals who are excited about the possibility of working in a fast-paced, dynamic environment where innovation is celebrated and new ideas are always welcome. If you are ready to take the next step in your career and make a lasting impact, we encourage you to apply today.

Don't miss this opportunity to be part of something extraordinary. Apply now and become a valued member of the arenaflex team!