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Posted Apr 6, 2026

**Experienced Full Stack Data Entry Specialist – Web & Cloud Application Development**

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At arenaflex, we're on a mission to revolutionize the way we interact with data. As a leading innovator in direct-to-consumer video services, we're constantly pushing the boundaries of what's possible. Our team of experts is dedicated to delivering exceptional experiences to millions of users worldwide. We're now seeking an experienced Full Stack Data Entry Specialist to join our team and help us take our data-driven approach to the next level. **About arenaflex** arenaflex is a global leader in the entertainment industry, with a rich history dating back to 1923. Our company has grown to encompass a vast array of businesses and brands, including Disney, Pixar, Marvel, Lucasfilm, and more. We're committed to creating immersive experiences that captivate audiences around the world. Our streaming services, including Disney+, offer an unparalleled library of content that's accessible on any device, at any time. **Job Details** * **Job Title:** Experienced Full Stack Data Entry Specialist – Web & Cloud Application Development * **Location:** Remote * **Employment Type:** Part-time * **Work Hours:** 8 hours * **Salary:** $25/hour * **Industry:** Private * **Qualifications:** Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field * **Experience:** 3+ years of experience in data entry, data analysis, and data visualization * **Skills:** Proficiency in Python, R, SQL, and data visualization tools like Tableau or Power BI * **Preferred Qualifications:** Master's degree in a quantitative field, experience with cloud-based data platforms, and proficiency in machine learning algorithms **Responsibilities** As a Full Stack Data Entry Specialist at arenaflex, you'll play a critical role in supporting our streaming business with AI and statistical modeling. Your primary responsibilities will include: * Supporting the streaming business with AI and statistical modeling focused on understanding and predicting user behavior, including churn, upgrades/downgrades, cost responsiveness, customer segmentation, survival analysis, A/B testing, and causal inference * Creating and implementing innovative AI strategies to address key business questions while identifying new areas to explore * Driving experimentation to assess the effects of your models * Collaborating closely with colleagues across the organization to identify and capitalize on opportunities * Presenting your findings to senior leaders **Essential Capabilities** To succeed in this role, you'll need: * A bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field * 3+ years of experience in data entry, data analysis, and data visualization * Proficiency in Python, R, SQL, and data visualization tools like Tableau or Power BI * Strong coding experience in at least one programming language, with experience in logical libraries like Numpy, Pandas, or similar libraries * Ability to analyze data and create ML models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.) * Strong foundation in statistical modeling: regression, clustering, time series estimation, causal inference, and other methods * Experience creating flexible numerical models and solving complex quantitative problems that can be understood by non-technical colleagues * Ability to make insights and recommendations from data to inform model development and business decisions * Willingness to collaborate with other data researchers, data analysts, and key stakeholders * Strong understanding of SQL **Preferred Capabilities** While not required, the following skills and qualifications are highly desirable: * Postgraduate education in a quantitative field * Excellent analytical skills, high-level degree of statistical knowledge * Demonstrated ability to choose the right statistical tools given an analysis problem * Ability to adapt quickly in a fast-paced environment with shifting needs * Strong relational skills, both technical and non-technical audiences * Ability to focus on multiple tasks simultaneously and meet deadlines * Experience with cloud-based data platforms and applications like Databricks, Jupyter, Snowflake, Windflow, and GitHub * Experience with A/B testing and other experimentation types * Experience thinking critically to interpret market and customer data, ideally about a subscription service * Experience with distributed data technologies (Hive, Flume) * Experience with NLP and NN models **About Working at arenaflex** arenaflex is committed to creating a positive and inclusive work environment that fosters creativity, collaboration, and growth. As a member of our team, you'll have access to a range of benefits and perks, including: * Competitive salary and benefits package * Opportunities for career advancement and professional growth * Collaborative and dynamic work environment * Recognition and rewards for outstanding performance * Access to cutting-edge technology and tools * Flexible work arrangements and remote work options * Opportunities for professional development and training * Recognition and celebration of diversity and inclusion **How to Apply** If you're a motivated and experienced professional looking to join a thriving team, we encourage you to apply now! Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to review your application and discuss this exciting opportunity further.