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 looking for a talented and experienced Full Stack Data Scientist to join our team. If you're passionate about working with AI and factual displaying to understand and predict user behavior, we want to hear from you!

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 largest and most beloved entertainment conglomerates, encompassing a vast array of businesses and brands in the fields of entertainment, media, and amusement parks. From Disney, Pixar, Marvel, Star Wars, and National Geographic to ABC, ESPN, Disney Channel, and more, arenaflex is a household name that brings joy and excitement to millions of people around the world.

Job Summary

As a Full Stack Data Scientist at arenaflex, you'll play a critical role in supporting our streaming business with AI and factual displaying focused on understanding and predicting user behavior. You'll work closely with our cross-functional teams to identify and address key business questions, develop innovative AI strategies, and drive experimentation to assess the effects of your models. If you're a data enthusiast with a passion for working with AI and factual displaying, we want to hear from you!

Key Responsibilities

* Support the streaming business with AI and factual displaying 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 inform business decisions.
• Collaborate closely with colleagues across the organization to identify and capitalize on opportunities.
• Work with other data teams to improve platform capabilities around data modeling, data representation, experimentation, and data engineering.
• Present your findings and recommendations to senior leaders.

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 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, 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, Windflow, 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, Flume).
• Experience with NLP and NN models.

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and develop their careers. As a Full Stack Data Scientist, you'll have access to a range of learning opportunities, including:

• Professional development programs to help you stay up-to-date with the latest AI and data science trends.
• Collaborative work environment with cross-functional teams to share knowledge and best practices.
• Opportunities to work on high-impact projects that drive business results.
• Access to cutting-edge tools and technologies to help you develop your skills.
• Recognition and rewards for outstanding performance and contributions.

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values creativity, collaboration, and diversity. Our work environment is fast-paced and challenging, with a focus on delivering exceptional results. As a Full Stack Data Scientist, you'll have the opportunity to work with a talented team of data scientists, engineers, and business leaders to drive business growth and innovation.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• Salary: $25/hour.
• Benefits: Comprehensive health insurance, 401(k) retirement plan, paid time off, and more.
• Perks: Access to exclusive Disney events, discounts on Disney merchandise, and more.
• Professional development opportunities: Training, mentorship, and career growth opportunities.

How to Apply

If you're a talented and experienced Full Stack Data Scientist looking for a new challenge, 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! Apply Job! Apply for this job