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

About arenaflex – Pioneering the Future of Global Streaming Entertainment

arenaflex is a world‑leading streaming and digital entertainment powerhouse, delivering beloved stories, iconic characters, and immersive experiences to millions of viewers across every device, time zone, and market. From award‑winning original series to classic franchises, arenaflex’s portfolio spans a diverse range of content that captivates audiences worldwide. Our mission is simple yet ambitious: empower every viewer to discover and enjoy the content they love, whenever and wherever they choose. To achieve this, we blend cutting‑edge technology, data‑driven insight, and a relentless passion for storytelling. As part of our rapidly expanding analytics team, you will help shape the strategic direction of our streaming business, turning raw data into actionable intelligence that fuels growth, enhances user experience, and drives innovation.

Role Overview – Part‑Time Remote Data Scientist

arenaflex is seeking a highly motivated Data Scientist to join our AI and Analytics group on a part‑time, remote basis. This role sits at the intersection of data engineering, statistical modeling, and product strategy, supporting our flagship streaming platforms with predictive analytics, experimentation, and machine‑learning solutions. You will collaborate closely with product managers, engineers, content strategists, and senior leadership to uncover hidden patterns, forecast user behavior, and recommend data‑backed actions that improve engagement, retention, and revenue.

Key Responsibilities

• Partner with cross‑functional teams to define high‑impact business questions and translate them into analytical projects.
• Design, develop, and deploy scalable machine‑learning models (e.g., recommendation engines, churn prediction, price elasticity) using Python, R, TensorFlow, PyTorch, or scikit‑learn.
• Perform exploratory data analysis (EDA) to surface insights, identify trends, and detect anomalies in large‑scale streaming data.
• Build and maintain robust data pipelines and feature stores in environments such as Databricks, Snowflake, or Hive to ensure reliable model training and inference.
• Lead A/B testing frameworks, causal inference studies, and multivariate experiments to evaluate product changes and marketing initiatives.
• Communicate findings through clear visualizations, dashboards, and presentations tailored to both technical and non‑technical audiences.
• Mentor junior analysts and collaborate with data engineers to improve data quality, governance, and documentation.
• Stay abreast of emerging AI/ML techniques and recommend innovative approaches that can give arenaflex a competitive edge.
• Present model performance, business impact, and strategic recommendations to senior leadership on a regular cadence.

Essential Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Minimum 3 years of hands‑on experience building, evaluating, and deploying production‑grade AI/ML solutions.
• Proficiency in at least one programming language for data science (Python or R) and familiarity with libraries such as NumPy, Pandas, and Matplotlib.
• Strong foundation in statistical modeling, including regression, clustering, time‑series forecasting, and causal inference.
• Demonstrated ability to work with large, complex datasets and extract meaningful insights using SQL and modern data‑warehouse technologies.
• Experience with cloud‑based analytics platforms (e.g., Databricks, Snowflake, AWS, GCP, Azure) and version‑control systems like GitHub.
• Excellent problem‑solving skills, with a track record of turning ambiguous business problems into clear, data‑driven solutions.
• Effective communication skills—able to articulate technical concepts to stakeholders at all levels of the organization.

Preferred Qualifications & Additional Skills

• Master’s or Ph.D. in a quantitative discipline (e.g., Machine Learning, Econometrics, Applied Mathematics).
• Advanced expertise in deep learning architectures (CNNs, RNNs, Transformers) and natural‑language processing (NLP) for content recommendation.
• Hands‑on experience with experiment design, hypothesis testing, and statistical power analysis for A/B testing.
• Familiarity with streaming‑specific metrics such as viewer engagement, session length, churn rate, and ARPU (Average Revenue Per User).
• Knowledge of data visualization tools (Tableau, Power BI, Looker) to craft compelling, interactive dashboards.
• Ability to thrive in a fast‑paced, dynamic environment, juggling multiple priorities while meeting tight deadlines.
• Strong interpersonal skills—collaborative mindset and the ability to build relationships across product, engineering, content, and marketing teams.
• Experience with big‑data processing frameworks (Spark, Hadoop) and containerization technologies (Docker, Kubernetes) is a plus.

Core Skills & Competencies

• Analytical mindset: Passion for digging deep into data, questioning assumptions, and uncovering hidden patterns.
• Technical fluency: Mastery of Python/R, SQL, and ML libraries; comfortable with cloud‑based data platforms.
• Business acumen: Ability to align analytical work with strategic objectives such as subscriber growth, content optimization, and monetization.
• Communication excellence: Craft clear, concise narratives that translate complex models into actionable business recommendations.
• Collaboration: Proven track record of working effectively in cross‑functional, remote teams.
• Adaptability: Quick to learn new tools, techniques, and industry trends; comfortable with evolving priorities.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $25 per hour for part‑time contributors, along with a comprehensive benefits package that includes flexible work hours, remote‑first policies, health and wellness stipends, and access to continuous learning resources. Employees enjoy generous paid time off, employee assistance programs, and a vibrant community of innovators who celebrate creativity and diversity.

Career Growth & Learning Opportunities

At arenaflex, your professional development is a priority. You will have access to:

• Mentorship from senior data scientists and industry leaders.
• Sponsored certifications and workshops in advanced machine learning, cloud analytics, and data engineering.
• Opportunities to lead high‑visibility projects that directly influence product roadmaps and company strategy.
• Cross‑departmental rotations that broaden your expertise across content, product, and marketing domains.

Work Environment & Culture at arenaflex

arenaflex fosters an inclusive, collaborative, and innovation‑driven culture. Our remote‑first approach ensures you can work from anywhere while staying connected through regular virtual coffee chats, team‑wide hackathons, and interactive knowledge‑sharing sessions. We celebrate diversity, encourage curiosity, and reward bold ideas that challenge the status quo. Whether you’re a seasoned professional or an emerging talent, you’ll find a supportive environment that values your unique perspective and empowers you to make a meaningful impact.

Why Join arenaflex?

If you are passionate about leveraging data to transform entertainment experiences, thrive in a dynamic, fast‑growing industry, and seek a flexible, part‑time role that offers both autonomy and collaboration, arenaflex is the perfect place to advance your career. Join us to help shape the next generation of streaming experiences, influence millions of viewers worldwide, and grow alongside a world‑class analytics team.

Ready to Make an Impact?

Take the next step in your data science journey with arenaflex. Apply Now and become part of a visionary team that turns data into unforgettable stories.