Experienced Full Stack Data Scientist – AI and Predictive Modeling for arenaflex's Disney+ and ESPN+ Platforms

Are you a data-driven professional with a passion for innovation and a knack for storytelling? Do you thrive in a fast-paced environment where no two days are the same? Look no further! arenaflex is seeking an experienced Full Stack Data Scientist to join our team of talented professionals working on the Disney+ and ESPN+ platforms. As a key member of our Information Science group, you will play a critical role in driving business success through data-driven insights and predictive modeling.

About arenaflex

arenaflex is a leading innovator in the entertainment industry, providing direct-to-consumer video services to millions of customers worldwide. Our mission is to deliver unparalleled entertainment experiences to our customers, wherever they are, whenever they want. We are committed to innovation, creativity, and excellence in everything we do.

Job Summary

As an Experienced Full Stack Data Scientist, you will be responsible for developing and implementing AI and predictive modeling solutions to drive business growth and customer engagement. You will work closely with cross-functional teams to identify business opportunities, design and implement data-driven solutions, and present insights to senior leaders. If you are a motivated individual with a passion for data science and a knack for storytelling, we encourage you to apply now!

Key Responsibilities

* Support the streaming business with AI and predictive modeling focused on understanding and predicting 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 capitalize on opportunities.
• 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.

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 at least one programming language (e.g., Python, R), with additional experience in scientific libraries (e.g., 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 data literacy.
• 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 interpersonal skills, for both technical and non-technical audiences.
• Ability to focus on multiple tasks simultaneously and meet deadlines.
• Experience with data platforms and applications like Databricks, Jupyter, Snowflake, Wind Current, 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 talented team of professionals in a fast-paced environment.
• Collaborative and dynamic work culture.
• 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 are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application and look forward to hearing from you. Apply To This Job Apply for this job