**Experienced Full Stack Data Scientist – AI and Machine Learning for arenaflex's Streaming Business**
At arenaflex, we're on a mission to revolutionize the way we consume entertainment and connect with our audiences 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 creative storytelling. 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 of innovation and creativity. Our flagship streaming services, including Disney+, Hulu, and ESPN+, offer a vast library of content that delights audiences of all ages. Our team of talented professionals is passionate about delivering exceptional experiences that exceed our customers' expectations. We're committed to fostering a culture of collaboration, innovation, and continuous learning, where everyone has the opportunity to grow and thrive. **Job Summary** As a Full Stack Data Scientist at arenaflex, you'll play a critical role in driving business growth through data-driven insights and AI-powered solutions. You'll work closely with our cross-functional teams to identify business opportunities, develop predictive models, and implement data-driven solutions that drive revenue growth and customer engagement. If you're a seasoned data scientist with a passion for AI and machine learning, we want to hear from you! **Key Responsibilities** * Support the streaming business with AI and statistical modeling focused on understanding and predicting user behavior, including churn, upgrade/downgrade, cost responsiveness, customer segmentation, survival analysis, A/B testing, and causal inference. * Develop 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 make data-driven recommendations to senior leaders. * Collaborate closely with colleagues across the organization to identify and capitalize on opportunities. You'll also work 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 that impact millions of customers worldwide. * Stay up-to-date with the latest advancements in AI and machine learning, applying your knowledge to drive business growth and customer engagement. **Essential Capabilities** * Bachelor's degree in Computer Science, Engineering, Science, Physics, Econometrics, or Statistics. * 3+ years of experience designing, building, and evaluating effective AI solutions. * Strong coding experience in one or more 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 scientists, data analysts, and key stakeholders. * Strong understanding of SQL. **Preferred Capabilities** * Postgraduate education in a quantitative field. * Excellent analytical skills, with a high 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 interpersonal skills, for both technical and non-technical audiences. * Ability to focus on multiple projects simultaneously and meet 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, Spark). * Experience with NLP and NN models. **What We Offer** * Competitive salary and benefits package. * Opportunity to work with a global leader in the entertainment industry. * Collaborative and dynamic work environment. * Professional development and growth opportunities. * Flexible work arrangements, including remote work options. * Access to cutting-edge technology and tools. * Recognition and rewards for outstanding performance. **How to Apply** If you're a motivated and experienced data scientist with a passion for AI and machine learning, we want to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and explore how you can contribute to our team's success! Apply for this job