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Experienced Data Scientist for Customer Service Metrics and Strategy Development - Advanced Analytics and Business Insights

Remote, USA Full-time Posted 2025-11-24

Introduction to blithequark

blithequark is one of the world's leading entertainment services, offering an unparalleled viewing experience to over 300 million paid memberships across more than 190 countries. Our platform provides access to a vast library of TV series, films, and games, catering to diverse tastes and preferences. At blithequark, we strive to create a seamless and enjoyable experience for our members, allowing them to play, pause, and resume watching their favorite content anytime, anywhere. Our Customer Service organization plays a vital role in ensuring that our members' experiences are nothing short of exceptional.

About the Role

As a Data Scientist at blithequark, you will be responsible for leading the evolution of Customer Service metrics, identifying key performance indicators, and developing strategies to drive business growth. You will work closely with cross-functional teams, including executives, Product Managers, Data Engineers, Analytics Engineers, and Finance, to foster a data-driven decision-making culture within the organization. Your expertise in statistical analysis, data modeling, and metrics development will be instrumental in informing business decisions and optimizing customer experiences.

Key Responsibilities

  • Lead the development and refinement of Customer Service metrics, identifying "north star" metrics and strategies to drive them
  • Apply critical thinking and statistical techniques to solve complex business problems and inform data-driven decision-making
  • Collaborate with stakeholders to design and implement metrics frameworks, experimentation, and research initiatives
  • Partner with Product, Engineering, and Data Science teams to expand the use of Customer Service metrics across blithequark, uncovering insights and opportunities for growth
  • Develop and maintain complex data models, leveraging SQL, Python, and other programming languages to analyze and visualize data
  • Communicate technical concepts and recommendations to diverse audiences, including Engineering, Product, and senior leadership

Requirements and Qualifications

To be successful in this role, you will need:

  • An advanced degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field
  • Strong statistical knowledge and intuition, with applied experience in developing business-centric metrics frameworks
  • Proficiency in SQL and programming languages, such as Python
  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
  • Experience with a range of measurement and prediction techniques, including correlation analysis, observational causal inference, forecasting, and quasi-experimentation
  • Comfort working with complex data, with the ability to thrive in a fast-paced environment with minimal oversight
  • A desire to learn and become an expert in Customer Service, with a passion for delivering exceptional customer experiences

Preferred Qualifications

While not required, the following qualifications are preferred:

  • Prior experience in Customer Service or a related field
  • Experience working with large datasets and complex data systems
  • Knowledge of data visualization tools and techniques
  • Familiarity with cloud-based data platforms and technologies
  • Experience with agile development methodologies and version control systems

Career Growth and Development

At blithequark, we are committed to the growth and development of our employees. As a Data Scientist, you will have opportunities to:

  • Develop and refine your skills in statistical analysis, data modeling, and metrics development
  • Work on complex and challenging projects, with the potential to drive significant business impact
  • Collaborate with cross-functional teams, including Product, Engineering, and Data Science
  • Participate in training and development programs, including workshops, conferences, and online courses
  • Contribute to the development of blithequark's data-driven culture, informing business decisions and optimizing customer experiences

Work Environment and Company Culture

At blithequark, we pride ourselves on our unique and dynamic company culture. As a Data Scientist, you will be part of a talented and diverse team, working in a collaborative and fast-paced environment. We offer:

  • A flexible and autonomous work environment, with opportunities for remote work and flexible scheduling
  • A culture of innovation and experimentation, with a focus on continuous learning and improvement
  • A comprehensive benefits package, including health plans, mental health support, and retirement savings
  • A stock option program, with the opportunity to own a part of blithequark's success
  • A diverse and inclusive workplace, with a commitment to equality and social responsibility

Compensation and Benefits

At blithequark, we offer a competitive compensation package, with a range of $170,000 - $720,000 per year. Our compensation structure consists solely of an annual salary, with the option to choose between salary and stock options. We also offer a comprehensive benefits package, including:

  • Health plans and mental health support
  • 401(k) retirement plan with employer match
  • Stock option program
  • Disability programs and health savings accounts
  • Family-forming benefits and life insurance
  • Paid leave of absence programs and flexible time off

Conclusion

If you are a motivated and talented Data Scientist, looking to join a dynamic and innovative company, we encourage you to apply for this exciting opportunity. At blithequark, we are committed to delivering exceptional customer experiences, and we believe that our employees are the key to our success. Join our team and contribute to the development of our data-driven culture, informing business decisions and optimizing customer experiences. Apply now to become a part of our talented and diverse team!

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