Meta is seeking a Data Scientist specializing in Product Analytics to shape the development and enhancement of products that reach billions of users and hundreds of millions of businesses globally. The role aims to utilize technical expertise, analytical mindset, and product intuition to analyze vast and complex data sets, identify key insights, and influence product strategies to impact user experience and business outcomes across Meta's diverse suite of applications.
Requirements
- Minimum of 4 years of professional experience in analytics, data querying languages such as SQL, scripting languages like Python, and statistical software such as R (with at least 2 years of experience at the Ph.D. level).
- Proven ability to solve complex analytical problems using quantitative approaches, including data mining, experimentation, and statistical modeling.
- Experience leading data-driven projects from hypothesis formulation through to implementation and communication of insights.
- Strong understanding of user behaviors, product ecosystems, and long-term industry trends.
- data querying languages such as SQL
- scripting languages like Python
- statistical software such as R
Responsibilities
- Work with large, complex data sets to identify patterns, solve challenging problems, and develop actionable insights using various analytical and statistical techniques.
- Apply technical expertise to conduct quantitative analysis, experimentation, and data mining to inform product development strategies that serve a global user base.
- Define, monitor, and analyze key product metrics to evaluate success, forecast trends, and identify opportunities for growth and improvement.
- Identify and test new opportunities and levers to enhance product features, user engagement, and business outcomes, driving product roadmaps with your insights.
- Develop hypotheses, employ rigorous analytical frameworks, and utilize diverse methodologies to guide product decisions.
- Communicate insights effectively through clear storytelling, data visualization, and strategic recommendations to influence stakeholders and product teams.
- Utilize your technical expertise, analytical mindset, and product intuition to analyze vast and complex data sets, identify key insights, and influence product strategies.
Other
- Collaborating with cross-functional teams such as Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance, you will address a wide array of product and business challenges.
- As a strategic partner, you will tell compelling data-driven stories, influence decision-making, and contribute to Meta's ongoing innovation efforts.
- Excellent communication skills with the ability to tell compelling stories with data and influence cross-functional teams.
- Collaborate closely with Product, Engineering, Research, and other cross-functional teams to support, influence, and execute strategic initiatives.
- Communicate insights effectively through clear storytelling, data visualization, and strategic recommendations to influence stakeholders and product teams.
