Data Scientist (L5) , Performance Marketing

Job Overview & Introduction: As a Data Scientist at Netflix, you will play a critical role in driving performance marketing through data analysis, impacting the company's growth and revenue. Your work will focus on analyzing large datasets to inform marketing strategies and optimize campaign performance. Key Responsibilities & Day-to-Day Tasks: Your daily tasks will include analyzing campaign data, developing predictive models, collaborating with cross-functional teams, and presenting insights to stakeholders. You will also be responsible for designing and implementing A/B testing experiments, developing and maintaining data visualizations, and identifying areas for process improvement. Additionally, you will work on projects such as analyzing customer behavior, optimizing marketing channels, and developing machine learning models to predict customer churn. Your weekly tasks will include meeting with stakeholders to discuss project progress and monthly tasks will include presenting insights and recommendations to senior leadership. Required Qualifications & Experience: To be successful in this role, you will need a Bachelor's or Master's degree in Computer Science, Statistics, or a related field, with at least 5 years of experience in data science or a related field. You will also need strong technical skills in programming languages such as Python, R, or SQL, as well as experience with data visualization tools such as Tableau or Power BI. Industry knowledge of marketing and advertising is also required. Preferred Qualifications & Nice-to-Haves: Additional skills that would be beneficial include experience with machine learning algorithms, natural language processing, and cloud computing platforms such as AWS or Azure. You should also have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Skills & Competencies: Technical skills required include proficiency in programming languages such as Python, R, or SQL, as well as experience with data visualization tools such as Tableau or Power BI. You should also have strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Industry-specific competencies include knowledge of marketing and advertising, as well as experience with data analysis and interpretation. Company Information & Culture: Netflix is a leading provider of streaming services, with a mission to entertain and inspire audiences around the world. Our company culture values innovation, creativity, and collaboration, with a focus on continuous learning and improvement. Our team structure is flat and collaborative, with a focus on teamwork and open communication. Benefits, Compensation & Perks: We offer a competitive salary range, as well as a comprehensive benefits package including health insurance, retirement plans, and paid time off. Additional perks include access to our streaming services, free meals and snacks, and a dynamic and supportive work environment. Growth Opportunities & Next Steps: As a Data Scientist at Netflix, you will have opportunities for career advancement and professional development, including training and education programs, mentorship, and networking opportunities. To apply, please submit your resume and a cover letter through LinkedIn, and we will be in touch with next steps.