**Experienced Full Stack Data Scientist – AI and Factual Displaying for Streaming Business**

At arenaflex, we're on a mission to revolutionize the way we consume entertainment content worldwide. As a leading innovator in direct-to-consumer video services, we're constantly pushing the boundaries of what's possible with our cutting-edge technology and expertise. We're now seeking an experienced Full Stack Data Scientist to join our team and help us drive business growth through data-driven insights and AI-powered solutions. **About arenaflex** arenaflex is a global leader in the entertainment industry, with a rich history dating back to 1923. Our company has grown to become one of the world's most beloved and respected brands, with a diverse portfolio of businesses and brands across the fields of entertainment, media, and amusement parks. From iconic films and TV shows to beloved characters and theme parks, arenaflex has something for everyone. **Job Summary** As a Full Stack Data Scientist at arenaflex, you'll play a critical role in driving business growth and innovation through data-driven insights and AI-powered solutions. You'll work closely with our cross-functional teams to develop and implement data-driven strategies, leveraging your expertise in machine learning, statistical modeling, and data visualization to drive business outcomes. Your work will have a direct impact on our streaming business, helping us to better understand our customers, improve our services, and drive revenue growth. **Key Responsibilities** * Support the streaming business with AI and factual displaying focused on understanding and forecasting customer behavior, including churn, upgrade/downgrade, cost responsiveness, customer segmentation, survival analysis, A/B testing, and causal inference. * Create and implement innovative AI strategies to address key business questions while identifying new areas to explore. * Drive experimentation to assess the effects of your models and iterate on your approach. * Collaborate closely with colleagues across the organization to identify and pursue opportunities, working with other data teams to improve platform capabilities around data modeling, data representation, experimentation, and data design. * Present your findings and recommendations to senior leaders, influencing business decisions and driving growth. **Essential Capabilities** * Bachelor's degree in Computer Science, Engineering, Statistics, Physics, Econometrics, or Mathematics. * 3+ years of experience designing, building, and evaluating effective AI solutions. * Strong coding experience in one or more data programming languages like Python/R, with additional experience in scientific libraries like NumPy, Pandas, or similar libraries. * Proficiency in analyzing data and creating 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 stakeholders. * Ability to extract 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** * Postgraduate education in a quantitative field. * Excellent analytical skills, with a high level of statistical knowledge. * Demonstrated ability to choose the right statistical tools given a data analysis problem. * Ability to adapt quickly in a fast-paced environment with shifting needs. * Strong relational skills, for both technical and non-technical audiences. * Ability to focus on multiple projects simultaneously and deliver results under tight deadlines. * Experience with data platforms and applications like Databricks, Jupyter, Snowflake, Wind Current, and GitHub. * Experience with designing and analyzing 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, Flash). * Experience with NLP and NN models. **About Working at arenaflex** arenaflex is a place where creativity, innovation, and collaboration come together to drive growth and success. As a member of our team, you'll have the opportunity to work on exciting projects, collaborate with talented colleagues, and develop your skills and expertise in a dynamic and supportive environment. We offer a range of benefits and perks, including: * Competitive salary and benefits package. * Opportunities for career growth and advancement. * Collaborative and innovative work environment. * Access to cutting-edge technology and tools. * Professional development and training programs. * Recognition and rewards for outstanding performance. * Flexible work arrangements and remote work options. * Comprehensive health and wellness programs. * Employee assistance programs and support services. **How to Apply** If you're a motivated and talented data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and portfolio of work to our online application system. We can't wait to hear from you! Apply Now! 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