Experienced Full Stack Data Scientist (L5) - Customer Service Experimentation at careerzynith

At careerzynith, we're revolutionizing the way people enjoy entertainment, and our Customer Service organization is at the forefront of delivering exceptional experiences to our members. As a leading entertainment services provider with 283 million paid memberships in over 190 countries, we're constantly pushing the boundaries of innovation and excellence. Our Customer Service team is dedicated to ensuring that nothing gets between our members and their favorite shows, movies, and games, and data science plays a vital role in guiding this effort.

In this role, you'll have the opportunity to lead CS experimentation, research metrics, and partner with various stakeholders to further a statistically rigorous, data-driven decision-making culture in CS. If you're a seasoned data scientist with a passion for experimentation, customer service, and driving business outcomes, we want to hear from you.

• *About careerzynith**

careerzynith is a global entertainment services provider that's changing the way people enjoy TV series, films, and games. With a wide variety of genres and languages available, our members can play, pause, and resume watching as much as they want, anytime, anywhere. Our mission is to deliver exceptional customer experiences that are aligned with our business strategy and executed with high operational excellence.

• *Key Responsibilities**

As a Full Stack Data Scientist (L5) - Customer Service Experimentation at careerzynith, you'll be responsible for:

• Leading CS experimentation, from hypothesis generation and test design to interpretation and recommendations
• Researching metrics to support new areas of testing, like new pre-chat experiences
• Partnering with careerzynith's experimentation platform to improve the experience of CS testing, from allocation to analysis
• Partnering with CS executives, PMs, data team peers, and Finance to further a statistically rigorous, data-driven decision-making culture in CS
• Collaborating with cross-functional teams to design and implement experiments that drive business outcomes
• Developing and maintaining complex statistical models to inform business decisions
• Communicating technical concepts and insights to various audiences, including engineering, product, and senior leadership

• *Essential Qualifications**

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

• An advanced degree in a quantitative field like Statistics, Mathematics, Physics, or Economics, or commensurate experience
• Strong statistical knowledge and intuition with experience in product experimentation
• Strong SQL skills and programming experience (Python preferred)
• Ability to effectively communicate technical concepts and convey clear insights to a variety of audiences
• Experience evaluating language model performance
• Ability to thrive in ambiguity with minimal oversight and process

• *Preferred Qualifications**

While prior experience with Customer Service is not required, we're looking for candidates who are passionate about learning and committed to becoming experts in this field. If you have experience with:

• Customer Service or related fields
• Experimentation platforms and tools
• Statistical modeling and machine learning
• Data visualization and communication

we'd love to hear from you.

• *Skills and Competencies**

To succeed in this role, you'll need to possess:

• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Ability to work in a fast-paced, dynamic environment
• Strong attention to detail and organizational skills
• Ability to adapt to changing priorities and deadlines
• Strong technical skills, including programming languages, statistical software, and data visualization tools

• *Career Growth Opportunities and Learning Benefits**

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

• Ongoing training and development opportunities
• Mentorship and coaching from experienced professionals
• Opportunities to work on high-impact projects and initiatives
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

• *Work Environment and Company Culture**

careerzynith is a global company with a diverse and inclusive culture. We're committed to creating a work environment that's welcoming, supportive, and empowering. As a Full Stack Data Scientist (L5) - Customer Service Experimentation, you'll have the opportunity to work with a talented team of professionals who are passionate about delivering exceptional customer experiences.

• *Compensation, Perks, and Benefits**

careerzynith offers a comprehensive compensation package that includes:

• Annual salary, with the option to choose how much of your compensation you want in salary versus stock options
• Comprehensive benefits, 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 programs, including vacation, holidays, and sick paid time off
• Flexible time off for full-time salaried employees

• *Inclusion and Diversity**

careerzynith 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 seasoned data scientist with a passion for experimentation, customer service, and driving business outcomes, 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!

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