Data Scientist, Product Analytics

Job Overview & Introduction: As a Data Scientist in Product Analytics at Meta, you will play a critical role in informing product decisions with data-driven insights, driving business growth and user engagement. This role is essential to the company's success, as it directly impacts the development of new products and features. Key Responsibilities & Day-to-Day Tasks: Your daily tasks will include analyzing large datasets to identify trends and opportunities, developing and maintaining metrics to measure product performance, creating data visualizations to communicate insights to stakeholders, collaborating with cross-functional teams to inform product decisions, designing and implementing A/B tests to measure product changes, developing and maintaining statistical models to forecast user behavior, and creating reports to track key product metrics. You will work closely with product managers, engineers, and other stakeholders to ensure that data-driven insights are integrated into product development. Required Qualifications & Experience: A bachelor's or master's degree in a quantitative field such as computer science, statistics, or mathematics is required. You should have at least 3-5 years of experience in data analysis or a related field, with expertise in statistical modeling, data visualization, and data mining. Proficiency in programming languages such as Python, R, or SQL is necessary, as well as experience with data visualization tools like Tableau or Power BI. Preferred Qualifications & Nice-to-Haves: Additional skills that would be beneficial include experience with machine learning algorithms, natural language processing, or computer vision. A Ph.D. in a quantitative field or certifications in data science or analytics would be a plus. Soft skills like communication, leadership, and teamwork are also essential. Skills & Competencies: Technical skills required include proficiency in programming languages, data visualization tools, and statistical software. Soft skills like communication, leadership, and collaboration are necessary to work effectively with cross-functional teams. Industry-specific competencies include knowledge of product development, user experience, and data-driven decision making. Company Information & Culture: Meta is a technology company that operates a range of services, including Facebook, Instagram, and WhatsApp. The company values innovation, collaboration, and community, and is committed to creating a diverse and inclusive work environment. The team structure is flat, with opportunities for professional growth and development. Benefits, Compensation & Perks: Meta offers a competitive salary range, health benefits, retirement plans, and additional perks like PTO, remote work options, and on-site amenities. The company also provides opportunities for professional development and career advancement. Growth Opportunities & Next Steps: As a Data Scientist in Product Analytics at Meta, you will have opportunities for career advancement and professional growth. You can apply for this role through LinkedIn, and the hiring process typically includes a series of interviews with the team. With a strong team and a commitment to innovation, Meta is the perfect place to grow your career as a Data Scientist in Product Analytics. Apply now to join the team and make a meaningful impact on the company's products and services.