Experienced Data Scientist (L5) - Customer Service at arenaflex

At arenaflex, we're revolutionizing the way people enjoy entertainment, and we're looking for a talented Data Scientist to join our Customer Service team. As a leader in the entertainment industry, arenaflex has 283 million paid memberships in over 190 countries, offering a vast library of TV series, films, and games across various genres and languages. Our mission is to deliver top-notch customer experiences that align with our business strategy and execute with high operational excellence. In this role, you'll have the opportunity to work with a talented team of data scientists, product managers, and executives to drive data-driven decision-making and improve customer satisfaction. You'll be responsible for leading the evolution of CS metrics, identifying key performance indicators (KPIs), and developing statistically rigorous measurement techniques to inform business decisions.

About arenaflex

arenaflex is a global entertainment leader that's changing the way people enjoy their favorite shows, movies, and games. With a vast library of content and a growing membership base, we're constantly looking for innovative ways to improve our customer experience and stay ahead of the competition. Our Customer Service organization is at the forefront of this effort, working tirelessly to ensure that our members have an exceptional experience with our platform.

Key Responsibilities

As a Data Scientist (L5) - Customer Service at arenaflex, you'll be responsible for:

• Leading the evolution of CS metrics: Identify key performance indicators (KPIs) and develop statistically rigorous measurement techniques to inform business decisions.
• Critical thinking and problem-solving: Think critically about business problems and deploy the appropriate measurement technique to drive data-driven decision-making.
• Collaboration and partnership: Partner with executives, product managers, data engineers, analytics engineers, and finance to further a statistically rigorous, data-driven decision-making culture in CS.
• Experimentation and research: Identify opportunity areas for experimentation and research to drive business growth and improvement.
• Metric expansion: Expand the use of CS metrics across arenaflex, where they hold insights for product, engineering, and data science.

Essential Qualifications

To be successful in this role, you'll need:

• Advanced degree: An advanced degree in statistics, mathematics, physics, economics, or a related quantitative field.
• Strong statistical knowledge and intuition: A strong understanding of statistical concepts and the ability to apply them to real-world problems.
• Applied experience: Experience developing business-centric metrics frameworks and applying statistical techniques to drive business decisions.
• Programming skills: Strong SQL skills and programming experience (Python preferred).
• Communication skills: The ability to effectively communicate technical concepts and convey clear recommendations to a variety of audiences (engineering, product, senior leadership).

Preferred Qualifications

While prior experience in customer service is not required, a desire to learn and become an expert is a must. Additionally, experience with a wide range of measurement and prediction techniques (correlation analysis, observational causal inference, forecasting, quasi experimentation) is highly desirable.

Skills and Competencies

To succeed in this role, you'll need:

• Data analysis and interpretation: The ability to collect, analyze, and interpret complex data to inform business decisions.
• Statistical modeling: Experience with statistical modeling techniques, including regression, time series analysis, and machine learning.
• Communication and collaboration: The ability to effectively communicate technical concepts and collaborate with cross-functional teams.
• Problem-solving and critical thinking: The ability to think critically and solve complex problems.
• Adaptability and flexibility: The ability to adapt to changing business needs and priorities.

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and develop their careers. As a Data Scientist (L5) - Customer Service, you'll have access to:

• Mentorship and coaching: Regular check-ins with senior leaders and mentors to provide guidance and support.
• Training and development: Opportunities for training and development in areas such as data science, machine learning, and business acumen.
• Networking opportunities: The chance to connect with other data scientists and industry experts through conferences, meetups, and other events.
• Flexible work arrangements: The ability to work from home or adjust your schedule to meet the needs of your team and the business.

Work Environment and Company Culture

At arenaflex, we're committed to creating a positive and inclusive work environment that supports the well-being and success of our employees. Our company culture is built on:

• Innovation and creativity: We encourage experimentation and innovation to drive business growth and improvement.
• Collaboration and teamwork: We believe that collaboration and teamwork are essential to achieving our goals.
• Diversity and inclusion: We're committed to creating a diverse and inclusive work environment that reflects the communities we serve.
• Work-life balance: We offer flexible work arrangements and a comprehensive benefits package to support the well-being of our employees.

Compensation, Perks, and Benefits

As a Data Scientist (L5) - Customer Service at arenaflex, you'll receive:

• Annual salary: A competitive annual salary, with a range of $170,000 - $720,000.
• Stock options: The opportunity to purchase stock options, with a vesting schedule that aligns with your performance and contributions.
• Comprehensive benefits: A comprehensive benefits package, including health plans, mental health support, a 401(k) retirement plan with employer match, stock option program, disability programs, health savings and flexible spending accounts, family-forming benefits, and life and serious injury benefits.
• Paid leave of absence: Paid leave of absence programs, including vacation, holidays, and sick paid time off.
• Flexible time off: Flexible time off for full-time salaried employees.

Inclusion and Diversity

At arenaflex, we're committed to creating a diverse and inclusive work environment that reflects the communities we serve. We believe that diversity builds stronger teams and drives business growth and improvement. If you want an accommodation or adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

Equal Opportunity Employer

arenaflex is an equal-opportunity employer and celebrates diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully, and we do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

How to Apply

If you're a talented data scientist looking for a new challenge, we encourage you to apply for this role. Please submit your resume and a cover letter that outlines your experience and qualifications. We can't wait to hear from you! Apply for this job