Senior Data Scientist – Machine Learning & Analytics (Direct-to-Consumer Insights Division)

About arenaflex

Welcome to arenaflex, where we believe in the power of data to transform how businesses connect with their customers. As a leader in the entertainment and streaming industry, arenaflex operates a vast ecosystem of content and product offerings that touch millions of lives around the world. Our Direct-to-Consumer (DTC) Information Science group is at the heart of this transformation, joining profound data investigation and analysis of our rich customer information to present compelling visions around client retention and preferences across our extensive product offerings and content.

Within arenaflex, we serve as the insights and modeling partners for the content, marketing, product, and engineering teams across our streaming platforms. As Data Scientists at arenaflex, we leverage data to empower leaders with information, predictions, and insights that ultimately impact the experiences of millions of customers worldwide. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is an exceptional opportunity for you to join our team!

Position Overview

We are seeking a talented and motivated Senior Data Scientist to join our growing Information Science team in Santa Monica. In this role, you will work alongside a team of brilliant data scientists to solve sophisticated business problems using data science and machine learning. You will collaborate with cross-functional teams—including content, product, and marketing—to understand their needs and develop solutions that meet their requirements. Additionally, you'll play a key role in interpreting your discoveries for both technical experts and those without a technical background.

This position offers an exciting opportunity to work at the intersection of data science, machine learning, and business strategy, contributing to decisions that shape the future of entertainment for millions of viewers globally.

What You'll Do

As a Senior Data Scientist at arenaflex, your responsibilities will span the full data science lifecycle, from data acquisition to insight delivery. Here's what you can expect:

• Build and maintain data pipelines to collect, clean, and prepare data for machine learning models, ensuring data quality and reliability across all analytical processes.


• Develop and evaluate machine learning models to extract insights from data, make predictions, and generate recommendations that drive business value.


• Work with natural language processing algorithms to process and extract information from text-based data, enabling deeper understanding of customer behavior and content preferences.


• Build dashboards and visualizations to communicate your findings to both technical and non-technical audiences, making complex data accessible and actionable.


• Collaborate with cross-functional stakeholders to understand business requirements and translate them into data-driven solutions.


• Mentor junior team members and contribute to the continuous improvement of our data science practices and methodologies.


• Participate in agile ceremonies including sprint planning, code reviews, and retrospectives to ensure efficient delivery of project milestones.


• Stay current with emerging technologies and best practices in data science, machine learning, and AI to drive innovation within the team.

What To Bring

We are looking for candidates who possess a unique blend of technical expertise, business acumen, and communication skills. The ideal candidate will have:

• A Bachelor's degree in a quantitative field such as Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics, or a related discipline.


• At least 2 years of related experience in conducting statistical analysis and developing machine learning models using Python.


• Deep understanding of machine learning concepts and statistical techniques, including supervised and unsupervised learning methods.


• Strong analytical skills with the ability to draw insights and conclusions from data to inform model development and business decisions.


• A collaborative mindset and the desire to work with other data scientists, data engineers, and key stakeholders across the organization.


• Experience with ML frameworks such as Scikit-Learn and data processing libraries like Pandas or similar tools.


• Proficiency in SQL and distributed data technologies for handling large-scale datasets.


• Familiarity with data analysis and data visualization tools such as Streamlit, Tableau, Looker, or equivalent platforms.


• Excellent communication skills to present technical findings to both technical and non-technical audiences.


• Problem-solving abilities with a passion for tackling complex business challenges through data-driven approaches.

Good To Haves

While not required, the following qualifications and experience would be highly valued in a candidate:

• An MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics, or a related quantitative field.


• Ability to develop object-oriented Python code with strong emphasis on code quality, documentation, and maintainability.


• Experience deploying and maintaining pipelines using workflow management tools such as Airflow, Docker, Luigi, or similar platforms.


• Understanding of the latest natural language processing techniques, text embedding models, and familiarity with Generative AI and Large Language Models (LLMs).


• Experience fully integrating data science solutions into the business and operationalizing ML models in production environments.


• Knowledge of cloud platforms such as AWS, Google Cloud Platform, or Azure for scalable data processing and model deployment.


• Experience working in the streaming, media, or entertainment industry with an understanding of content metrics and viewer engagement analytics.


• Familiarity with A/B testing methodologies and experimental design for measuring causal impact.

Career Growth & Learning Opportunities

At arenaflex, we invest in the growth and development of our team members. As a Senior Data Scientist, you will have access to:

• Professional development programs including conferences, workshops, and training sessions to enhance your technical and leadership skills.


• Mentorship opportunities from senior leaders in the data science community who are experts in their respective fields.


• Exposure to cutting-edge technologies including machine learning, deep learning, natural language processing, and generative AI.


• Cross-functional collaboration opportunities with teams across content, product, marketing, and engineering.


• Career advancement paths into technical leadership roles or specialized domains within the data science discipline.


• Internal mobility programs that allow you to explore different roles and teams within the arenaflex organization.

Work Environment & Culture

arenaflex is more than just a workplace—we're a community of innovators, storytellers, and data enthusiasts who are passionate about creating magical experiences for our customers. Our Santa Monica office offers a vibrant and collaborative work environment that fosters creativity, inclusion, and excellence.

We believe in maintaining a healthy work-life balance and offer flexible work arrangements to support your well-being. Our team culture emphasizes collaboration over competition, continuous learning, and respect for diverse perspectives. You'll find that our data scientists are not just colleagues but mentors, collaborators, and friends who are committed to helping each other succeed.

At arenaflex, we value transparency, accountability, and innovation. We encourage our team members to take ownership of their projects, propose new ideas, and challenge the status quo. Your voice matters here, and we create an environment where your contributions can make a real impact on millions of customers worldwide.

Compensation & Benefits

We recognize that our employees are our greatest asset, and we are committed to providing competitive compensation and comprehensive benefits. In this role, you will receive:

• Competitive hourly rate of $26/hour (commensurate with experience and qualifications).


• Comprehensive health benefits including medical, dental, and vision coverage for you and your family.


• Retirement savings plan with company matching contributions.


• Paid time off including vacation, personal days, and holidays.


• Parental leave for new parents to support work-life integration.


• Employee assistance program offering counseling and wellness resources.


• Professional development budget for courses, certifications, and conferences.


• Employee discounts on arenaflex products and services.


• Stock purchase plan to share in the company's success.

Join Our Team

If you're ready to make an impact, solve complex problems, and be part of a team that's transforming the entertainment industry through data, we encourage you to apply for this exciting opportunity. At arenaflex, you'll work on meaningful projects that touch the lives of millions, collaborate with brilliant minds, and grow your career in ways you never thought possible.

We are looking for passionate individuals who are excited about the intersection of data science, technology, and entertainment. If you have the skills and experience we're seeking, and you're ready to take the next step in your career, we want to hear from you!

Apply now to join the arenaflex family and help us create the future of entertainment through the power of data.