**Experienced Full Stack Data Scientist – AI and Predictive Modeling for arenaflex's Streaming Business**

At arenaflex, we're on a mission to revolutionize the way we experience entertainment, sports, and culture. Our innovative streaming services, including Disney+, Hulu, and ESPN+, have captivated millions of users worldwide. As a key member of our Information Science team, you'll play a vital role in shaping the future of our streaming business by leveraging the power of artificial intelligence (AI) and predictive modeling.

• *About arenaflex**

arenaflex is a global leader in direct-to-consumer video services, with a rich history of innovation and creativity. Our company is home to some of the most beloved characters, stories, and brands in the world, including Disney, Pixar, Marvel, Star Wars, and National Geographic. We're committed to delivering exceptional experiences to our customers, and we're looking for talented individuals like you to join our team.

• *Job Summary**

We're seeking an experienced Full Stack Data Scientist to join our team of AI and predictive modeling experts. As a key member of our Information Science group, you'll work closely with our content, marketing, product, and engineering teams to develop and implement AI strategies that drive business growth and customer engagement. Your expertise in AI, machine learning, and statistical modeling will help us better understand our customers, predict their behavior, and create personalized experiences that exceed their expectations.

• *Key Responsibilities**

• Support the streaming business with AI and predictive modeling focused on understanding and forecasting customer 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 impact of your models and make data-driven decisions.
• 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.
• Stay up-to-date with the latest advancements in AI, machine learning, and statistical modeling, and apply this 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 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 proficiency in data analysis.
• 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, both technical and non-technical.
• 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-based service.
• Experience with distributed data technologies (Hive, Spark).
• Experience with NLP and NN models.

• *What We Offer**

• Competitive salary: $25/hour
• Opportunity to work with a global leader in direct-to-consumer video services
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off
• Flexible work arrangements, including remote work options

• *How to Apply**

If you're passionate about AI, machine learning, and statistical modeling, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply for this role. Please submit your resume and a cover letter explaining why you're the ideal candidate for this position.