Part‑Time Remote Data Scientist – AI‑Driven Analytics for Streaming Services at arenaflex

About arenaflex – Pioneering the Future of Direct‑to‑Consumer Streaming

arenaflex is a global leader in entertainment and technology, delivering beloved characters, timeless stories, and immersive experiences to millions of viewers worldwide. Through its flagship streaming platforms—including arenaflex+, a premier destination for movies, series, and exclusive original content—arenaflex connects audiences to the entertainment they love, anytime, on any device. Our mission is to empower viewers with seamless, personalized access to premium video services, while continuously innovating with cutting‑edge AI and data science solutions. As a part‑time remote member of the arenaflex Data Science team, you will help shape the next generation of streaming experiences, driving insights that influence product strategy, content recommendation, and user engagement across a rapidly expanding global audience.

Why This Role Matters – The Impact of Data Science at arenaflex

In today’s hyper‑connected world, data is the lifeblood of every successful streaming service. At arenaflex, our Data Science group partners closely with product, content, marketing, and engineering teams to turn massive volumes of user interaction data into actionable intelligence. By uncovering patterns in viewing habits, churn risk, subscription pricing, and content performance, you will directly influence decisions that affect millions of subscribers and help maintain arenaflex’s position as a market leader. This role offers a unique blend of analytical rigor, creative problem‑solving, and cross‑functional collaboration—all while enjoying the flexibility of a part‑time, remote schedule.

Key Responsibilities

• AI‑Driven Business Insights: Design, develop, and deploy machine‑learning models that predict user behavior such as churn, upgrade/downgrade trends, price sensitivity, and content preferences.
• Strategic Experimentation: Lead A/B testing frameworks, evaluate model performance, and iterate rapidly to refine predictive accuracy and business impact.
• Cross‑Team Collaboration: Partner with product managers, engineers, content strategists, and marketing analysts to translate business questions into data‑driven solutions.
• Data Platform Enablement: Work alongside data engineering teams to enhance platform capabilities for data visualization, feature engineering, and model deployment (e.g., Databricks, Snowflake, Jupyter).
• Executive Communication: Prepare clear, compelling presentations and dashboards for senior leadership, articulating insights, recommendations, and ROI of data initiatives.
• Continuous Learning: Stay abreast of emerging AI techniques, industry trends, and best practices to ensure arenaflex remains at the forefront of streaming analytics.

Essential Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field (or equivalent practical experience).
• Minimum of 3 years of hands‑on experience building, training, and evaluating production‑grade AI/ML solutions.
• Proficiency in Python or R, with strong familiarity with libraries such as NumPy, Pandas, scikit‑learn, TensorFlow, or PyTorch.
• Demonstrated expertise in statistical modeling techniques including regression, clustering, time‑series forecasting, and causal inference.
• Solid experience translating complex analytical findings into clear business recommendations for both technical and non‑technical audiences.
• Strong SQL skills for data extraction, manipulation, and analysis across large relational datasets.
• Ability to work independently as a “lone wolf” while also thriving in collaborative, cross‑functional environments.

Preferred Qualifications & Nice‑to‑Have Skills

• Master’s or Ph.D. in a quantitative discipline (e.g., Machine Learning, Econometrics, Applied Mathematics).
• Advanced analytical abilities with a proven track record of selecting appropriate statistical tools for diverse data challenges.
• Experience with modern data platforms and tools such as Databricks, Snowflake, Airflow, GitHub, and Jupyter notebooks.
• Background in designing and interpreting A/B tests, multivariate experiments, and other causal testing methodologies.
• Familiarity with subscription‑based business models and the ability to derive insights from membership data.
• Exposure to big‑data technologies (e.g., Hive, Spark) and natural language processing (NLP) or neural network (NN) models.
• Exceptional communication and storytelling skills, capable of influencing senior stakeholders and driving data‑centric decision making.
• Adaptability to a fast‑paced environment with shifting priorities, and the capacity to manage multiple projects simultaneously.

Core Skills & Competencies

• Analytical Rigor: Ability to dissect large, noisy datasets, identify meaningful patterns, and build robust predictive models.
• Programming Excellence: Clean, maintainable code in Python/R, with version control best practices (Git).
• Statistical Acumen: Deep understanding of hypothesis testing, confidence intervals, and model validation techniques.
• Business Insight: Strong sense of how data insights translate into product strategy, revenue growth, and user experience improvements.
• Collaboration: Proven experience partnering with cross‑functional teams, fostering a data‑driven culture.
• Communication: Ability to craft compelling visualizations and narratives that resonate with both technical and executive audiences.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its team members. As a part‑time remote Data Scientist, you will have access to:

• Mentorship from senior data leaders and industry experts.
• Annual learning stipend for conferences, certifications, or online courses.
• Opportunities to lead high‑visibility projects that directly impact global subscriber experience.
• Cross‑training programs that expose you to product management, engineering, and content strategy.
• A clear career ladder that can transition you from part‑time to full‑time roles, senior specialist positions, or leadership tracks.

Work Environment & Culture at arenaflex

Our culture is built on creativity, curiosity, and inclusion. arenaflex celebrates diverse perspectives and encourages every employee to bring their authentic self to work. Remote employees enjoy:

• Flexible scheduling that respects work‑life balance.
• A collaborative virtual workspace with regular team‑wide “innovation sprints” and brainstorming sessions.
• Inclusive community events, virtual coffee chats, and mentorship circles.
• Access to the latest streaming content for personal enjoyment and research.
• Supportive leadership that values data‑driven decision making and empowers teams to experiment.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $25 per hour for part‑time contributors, along with a comprehensive benefits package that may include:

• Performance‑based bonuses tied to project impact.
• Health, dental, and vision coverage (available to eligible part‑time staff).
• Retirement savings options with employer matching.
• Paid time off and holiday calendars aligned with global observances.
• Wellness programs, mental‑health resources, and employee assistance services.
• Discounts on arenaflex streaming subscriptions and partner entertainment platforms.

How to Apply – Join the arenaflex Data Science Team

If you are passionate about leveraging AI to shape the future of streaming entertainment, thrive in a remote, part‑time setting, and possess the analytical chops to turn data into strategic advantage, we want to hear from you. Click the link below to submit your application, upload your resume, and tell us why you’re the perfect fit for arenaflex’s data‑driven mission.

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